Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C1: Econometric and Statistical Methods and Methodology: General
/ / / C15: Statistical Simulation Methods: General

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This JEL code is mentioned in the following RePEc Biblio entries:

1. > Econometrics > Econometric Theory > Bootstrap Methods

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This topic is covered by the following reading lists:

1. SOEP based publications

2024

• Hajivassiliou, Vassilis & Savignac, Frédérique, 2024. "Simultaneously incomplete and incoherent (SII) dynamic LDV models: with an application to financing constraints and firms’ decision to innovate," LSE Research Online Documents on Economics 119379, London School of Economics and Political Science, LSE Library.

2023

• Carlo Drago & Loris Di Nallo & Maria Lucetta Russotto, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," Working Papers 2023.13, Fondazione Eni Enrico Mattei.
  • Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers 336986, Fondazione Eni Enrico Mattei (FEEM).
• Mugrabi, Farah Daniela, 2023. "Detecting and dating possibly distinct structural breaks in the covariance structure of financial assets," LIDAM Discussion Papers LFIN 2023001, Université catholique de Louvain, Louvain Finance (LFIN).
• Demian Pouzo & Zacharias Psaradakis & Martín Sola, 2023. "A Note on Quasi-Maximum-Likelihood Estimation in Hidden Markov Models with Covariate-Dependent Transition Probabilities," Department of Economics Working Papers 2023_01, Universidad Torcuato Di Tella.
  • Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2023. "A Note on Quasi-Maximum-Likelihood Estimation in Hidden Markov Models with Covariate-Dependent Transition Probabilities," Working Papers 234, Red Nacional de Investigadores en Economía (RedNIE).
• Caravello, Tomas E. & Psaradakis, Zacharias & Sola, Martin, 2023. "Rational bubbles: Too many to be true?," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
  • Tomás Caravello & Zacharias Psaradakis & Martín Sola, 2021. "Rational Bubbles: Too Many to be True?," Department of Economics Working Papers 2021_06, Universidad Torcuato Di Tella.
  • Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
• Fernando Delbianco & Fernando Tohmé, 2023. "What is a relevant control?: An algorithmic proposal," Working Papers 269, Red Nacional de Investigadores en Economía (RedNIE).
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Testing for the appropriate level of clustering in linear regression models," Working Paper 1428, Economics Department, Queen's University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series wps115, Bank of Russia.
  • Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.
• Yury D. Belkin & Alexey N. Matsuev & Alla V. Ryzhakova & Nadezhda V. Sedova, 2023. "Assessing the Impact of Investment Projects for the Development of Inland Waterway Transport on Social and Economic Indicators in Regions," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 92-108.
• Emanuele Dicarlo & Pasquale Recchia & Antonella Tomasi, 2023. "The changes to the Italian tax and welfare system implemented in 2022: fairness and efficiency profiles," Questioni di Economia e Finanza (Occasional Papers) 748, Bank of Italy, Economic Research and International Relations Area.
• Martha López & Eduardo Sarmiento G., 2023. "Excess Asset Returns Predictability in an Emerging Economy: The Case of Colombia," Borradores de Economia 1243, Banco de la Republica de Colombia.
• Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.
  • Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series wps115, Bank of Russia.
• GURAN Elena-Andreea & PÄ‚PULETE Eduard-NicuÈ™or, 2023. "The Impact Of Digitization In Ensuring Sustainable Economic Growth At The National Level," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 75(2), pages 78-86, June.
• Donayre Luiggi, 2023. "Filtering Persistent and Asymmetric Cycles," The B.E. Journal of Macroeconomics, De Gruyter, vol. 23(1), pages 473-495, January.
• Tian Jiarui (Alex), 2023. "A Replication of “The Effect of the Conservation Reserve Program on Rural Economies: Deriving a Statistical Verdict from a Null Finding” (American Journal of Agricultural Economics, 2019)," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-7, January.
• Kwak Do Won & Martin Robert S. & Wooldridge Jeffrey M., 2023. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 33-56, January.
  • Do Won Kwak & Robert S. Martin & Jeffrey M. Wooldridge, 2018. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Economic Working Papers 502, Bureau of Labor Statistics.
• Liu-Evans Gareth, 2023. "Improving the Estimation and Predictions of Small Time Series Models," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 1-26, January.
• Lux Thomas, 2023. "Approximate Bayesian inference for agent-based models in economics: a case study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(4), pages 423-447, September.
• Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "Long-Run Trends and Cycles in US House Prices," CESifo Working Paper Series 10751, CESifo.
• Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "Exponential Time Trends in a Fractional Integration Model," CESifo Working Paper Series 10774, CESifo.
• Peteris Kloks & Edouard Mattille & Angelo Ranaldo, 2023. "Foreign Exchange Swap Liquidity," Swiss Finance Institute Research Paper Series 23-22, Swiss Finance Institute.
• Jason Shachat & Lijia Wei, 2023. "Discrete Rule Learning in First Price Auctions," Working Papers 23-07, Chapman University, Economic Science Institute.
• Bérubé, Julie, 2023. "Pandemic and Cultural Industries in a Regional Context," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 15(2), pages 493-516, July.
• Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
  • Havranek, Tomas & Irsova, Zuzana & Bom, Pedro R. D. & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," CEPR Discussion Papers 17927, C.E.P.R. Discussion Papers.
  • Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
  • Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," MetaArXiv 3qp2w, Center for Open Science.
• Verena Monschang & Mark Trede & Bernd Wilfling, 2023. "Multi-horizon uniform superior predictive ability revisited: A size-exploiting and consistent test," CQE Working Papers 10623, Center for Quantitative Economics (CQE), University of Muenster.
• Kyriacou, Maria & Phillips, Peter C.B. & Rossi, Francesca, 2023. "Continuously Updated Indirect Inference In Heteroskedastic Spatial Models," Econometric Theory, Cambridge University Press, vol. 39(1), pages 107-145, February.
  • Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Working Papers 15/2019, University of Verona, Department of Economics.
  • Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Cowles Foundation Discussion Papers 2208, Cowles Foundation for Research in Economics, Yale University.
• Bigestans, Davis & Cardin, Michel-Alexandre & Kazantzis, Nikolaos, 2023. "Economic performance evaluation of flexible centralised and decentralised blue hydrogen production systems design under uncertainty," Applied Energy, Elsevier, vol. 352(C).
• Elsas, Ralf & Schoch, Daniela Stephanie, 2023. "Robust inference in single firm/single event analyses," Journal of Corporate Finance, Elsevier, vol. 80(C).
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
  • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
  • Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
• Caravello, Tomas E. & Psaradakis, Zacharias & Sola, Martin, 2023. "Rational bubbles: Too many to be true?," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
  • Tomás Caravello & Zacharias Psaradakis & Martín Sola, 2021. "Rational Bubbles: Too Many to be True?," Department of Economics Working Papers 2021_06, Universidad Torcuato Di Tella.
  • Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
• Skavysh, Vladimir & Priazhkina, Sofia & Guala, Diego & Bromley, Thomas R., 2023. "Quantum monte carlo for economics: Stress testing and macroeconomic deep learning," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
• Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2023. "Time-varying impacts of monetary policy uncertainty on China's housing market," Economic Modelling, Elsevier, vol. 118(C).
• Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
• He, Zhifang & Sun, Hao & Chen, Jiaqi & Yang, Xin & Yin, Zhujia, 2023. "Dynamic interaction of risk–return trade-offs between oil market and China’s stock market: An analysis from the risk preferences perspective," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
• He, Zhifang, 2023. "Geopolitical risks and investor sentiment: Causality and TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
• Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2023. "Bootstrapping quantile correlations with an application for income status across generations," Economics Letters, Elsevier, vol. 228(C).
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  • Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
  • James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
• Wang, Xiaohu & Xiao, Weilin & Yu, Jun, 2023. "Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process," Journal of Econometrics, Elsevier, vol. 232(2), pages 389-415.
• Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2023. "Reprint of: Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 234(S), pages 56-69.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023. "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, vol. 235(1), pages 65-81.
  • Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers 2001.04867, arXiv.org, revised Jan 2022.
  • Davide La Vecchia & Alban Moor & O. Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Swiss Finance Institute Research Paper Series 20-01, Swiss Finance Institute.
  • La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
• Chen, Song Xi & Guo, Bin & Qiu, Yumou, 2023. "Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding," Journal of Econometrics, Elsevier, vol. 235(2), pages 1337-1354.
• Mayer, Alexander & Wied, Dominik, 2023. "Estimation and inference in factor copula models with exogenous covariates," Journal of Econometrics, Elsevier, vol. 235(2), pages 1500-1521.
  • Alexander Mayer & Dominik Wied, 2021. "Estimation and Inference in Factor Copula Models with Exogenous Covariates," Papers 2107.03366, arXiv.org, revised Dec 2022.
• Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
  • Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.
  • Carlos Lamarche & Thomas Parker, 2022. "Wild Bootstrap Inference For Penalized Quantile Regression For Longitudinal Data," Working Papers 22003 Classification-C15,, University of Waterloo, Department of Economics.
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Testing for the appropriate level of clustering in linear regression models," Working Paper 1428, Economics Department, Queen's University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
• Gallant, A. Ronald, 2023. "Variance–covariance from a metropolis chain on a curved, singular manifold," Journal of Econometrics, Elsevier, vol. 235(2), pages 843-861.
• Chang, Jinyuan & Jiang, Qing & Shao, Xiaofeng, 2023. "Testing the martingale difference hypothesis in high dimension," Journal of Econometrics, Elsevier, vol. 235(2), pages 972-1000.
• MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
  • James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
• Astill, Sam & Taylor, A.M. Robert & Kellard, Neil & Korkos, Ioannis, 2023. "Using covariates to improve the efficacy of univariate bubble detection methods," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 342-366.
• Soliman, Alaa M. & Lau, Chi Keung & Cai, Yifei & Sarker, Provash Kumer & Dastgir, Shabbir, 2023. "Asymmetric Effects of Energy Inflation, Agri-inflation and CPI on Agricultural Output: Evidence from NARDL and SVAR Models for the UK," Energy Economics, Elsevier, vol. 126(C).
• Thakur, Jagruti & Hesamzadeh, Mohammad Reza & Date, Paresh & Bunn, Derek, 2023. "Pricing and hedging wind power prediction risk with binary option contracts," Energy Economics, Elsevier, vol. 126(C).
• Li, Zhenxiong & Yao, Xingzhi & Izzeldin, Marwan, 2023. "On the right jump tail inferred from the VIX market," International Review of Financial Analysis, Elsevier, vol. 86(C).
• Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2023. "Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing," International Review of Financial Analysis, Elsevier, vol. 87(C).
• Shen, Lihua & Hong, Yanran, 2023. "Can geopolitical risks excite Germany economic policy uncertainty: Rethinking in the context of the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 51(C).
• Zhang, Hanyu & Assereto, Martina & Byrne, Julie, 2023. "Deferring real options with solar renewable energy certificates," Global Finance Journal, Elsevier, vol. 55(C).
• Dang, Ou & Feng, Mingbin & Hardy, Mary R., 2023. "Two-stage nested simulation of tail risk measurement: A likelihood ratio approach," Insurance: Mathematics and Economics, Elsevier, vol. 108(C), pages 1-24.
• Chen, Yu & Ma, Mengyuan & Sun, Hongfang, 2023. "Statistical inference for extreme extremile in heavy-tailed heteroscedastic regression model," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 142-162.
• Brignone, Riccardo & Gonzato, Luca & Lütkebohmert, Eva, 2023. "Efficient Quasi-Bayesian Estimation of Affine Option Pricing Models Using Risk-Neutral Cumulants," Journal of Banking & Finance, Elsevier, vol. 148(C).
• Zila, Eric & Kukacka, Jiri, 2023. "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 366-391.
• Drago, Carlo & Gatto, Andrea, 2023. "Gauging energy poverty in developing countries with a composite metric of electricity access," Utilities Policy, Elsevier, vol. 81(C).
• Araujo, Gustavo Silva & Gaglianone, Wagner Piazza, 2023. "Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(2).
  • Gustavo Silva Araujo & Wagner Piazza Gaglianone, 2022. "Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models," Working Papers Series 561, Central Bank of Brazil, Research Department.
• Isaenko, Sergey, 2023. "Trading strategies and the frequency of time-series," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 267-283.
• Xu, Ruihui & Zhang, Xuliang & Gozgor, Giray & Lau, Chi Keung Marco & Yan, Cheng, 2023. "Investor flow-chasing and price–performance puzzle: Evidence from global infrastructure funds," Research in International Business and Finance, Elsevier, vol. 65(C).
• Okorie, David Iheke & Wesseh, Presley K., 2023. "Climate agreements and carbon intensity: Towards increased production efficiency and technical progress?," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 300-313.
• Qu, Yan & Dassios, Angelos & Zhao, Hongbiao, 2023. "Shot-noise cojumps: exact simulation and option pricing," LSE Research Online Documents on Economics 111537, London School of Economics and Political Science, LSE Library.
• Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
  • Hai-Anh Dang & Peter Lanjouw, 2022. "Regression-based Imputation for Poverty Measurement in Data Scarce Settings," Working Papers 611, ECINEQ, Society for the Study of Economic Inequality.
• Kseniya Abanokova & Hai-Anh H. Dang, 2023. "Poverty in Russia: a bird’s-eye view of trends and dynamics in the past quarter of a century," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 58, pages 627-635, Edward Elgar Publishing.
  • Abanokova, Kseniya & Dang, Hai-Anh H., 2021. "Poverty in Russia: A Bird's-Eye View of Trends and Dynamics in the Past Quarter of Century," GLO Discussion Paper Series 880, Global Labor Organization (GLO).
  • Abanokova, Kseniya & Dang, Hai-Anh, 2021. "Poverty in Russia: A Bird's-Eye View of Trends and Dynamics in the past Quarter of Century," IZA Discussion Papers 14544, Institute of Labor Economics (IZA).
• Nikolay Gospodinov & Alex Maynard & Elena Pesavento, 2023. "Inference in Conditional Vector Error Correction Models With a Small Signal-to-Noise Ratio," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Theory, volume 45, pages 295-318, Emerald Group Publishing Limited.
• Elaheh Fatemi Pour & Seyed Ali Madnanizdeh & Hosein Joshaghani, 2023. "Accept or reject a ride? This is the problem," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(7), pages 1346-1374, January.
• Agnieszka Pokorska, 2023. "Comparative Analysis of the Development of Electromobility Strategies in Selected Cities in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 954-965.
• Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," MetaArXiv 3qp2w, Center for Open Science.
  • Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
  • Havranek, Tomas & Irsova, Zuzana & Bom, Pedro R. D. & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," CEPR Discussion Papers 17927, C.E.P.R. Discussion Papers.
  • Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
• Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers 336986, Fondazione Eni Enrico Mattei (FEEM).
  • Carlo Drago & Loris Di Nallo & Maria Lucetta Russotto, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," Working Papers 2023.13, Fondazione Eni Enrico Mattei.
• James Mitchell & Saeed Zaman, 2023. "The Distributional Predictive Content of Measures of Inflation Expectations," Working Papers 23-31, Federal Reserve Bank of Cleveland.
• Prats Cabrera, Joan Oriol & Hinojosa, Sergio Alejandro & Roque Loyola, Heinz G. & Montecinos, Jorge G. & Moraga, Enrique & Carrillo, Camilo & Guerra, José Luis, 2023. "Gestión de pasivos contingentes para proyectos de asociación público-privada: valoración, contabilización y reporte," IDB Publications (Books), Inter-American Development Bank, number 12881.
• Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
  • Dang, Hai-Anh & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," IZA Discussion Papers 15873, Institute of Labor Economics (IZA).
  • Dang, Hai-Anh H. & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," GLO Discussion Paper Series 1226, Global Labor Organization (GLO).
• Dang, Hai-Anh H. & Dhongde, Shatakshee & Do, Minh & Nguyen, Cuong Viet & Pimhidzai, Obert, 2023. "Rapid Economic Growth but Rising Poverty Segregation: Will Vietnam Meet the SDGs for Equitable Development?," GLO Discussion Paper Series 1236, Global Labor Organization (GLO).
  • Dang, Hai-Anh & Dhongde, Shatakshee & Do, Minh N.N. & Nguyen, Cuong Viet & Pimhidzai, Obert, 2023. "Rapid Economic Growth but Rising Poverty Segregation: Will Vietnam Meet the SDGs for Equitable Development?," IZA Discussion Papers 15916, Institute of Labor Economics (IZA).
• Gustavo Javier Canavire-Bacarreza & Fernando Rios-Avila, 2022. "Recovering income distribution in the presence of interval-censored data," 2022 Stata Conference 19, Stata Users Group.
  • Canavire Bacarreza, Gustavo J. & Rios-Avila, Fernando & Sacco-Capurro, Flavia, 2023. "Recovering Income Distribution in the Presence of Interval-Censored Data," IZA Discussion Papers 15921, Institute of Labor Economics (IZA).
  • Canavire Bacarreza,Gustavo Javier & Rios Avila,Fernando & Sacco Capurro,Flavia Giannina, 2022. "Recovering Income Distribution in the Presence of Interval-Censored Data," Policy Research Working Paper Series 10147, The World Bank.
• Kachour Maher & Bakouch Hassan S. & Mohammadi Zohreh, 2023. "A New INAR(1) Model for ℤ-Valued Time Series Using the Relative Binomial Thinning Operator," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(2), pages 125-152, April.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
  • Siddhartha Chib & Minchul Shin & Fei Tan, 2021. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Working Papers 21-02, Federal Reserve Bank of Philadelphia.
• Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
• Sizhong Sun, 2023. "Firm heterogeneity, worker training and labor productivity: the role of endogenous self-selection," Journal of Productivity Analysis, Springer, vol. 59(2), pages 121-133, April.
• Dinabandhu Bag & Saurabh Goel, 2023. "Weak Form of Call Auction Prices: Simulation Using Monte Carlo Variants," Capital Markets Review, Malaysian Finance Association, vol. 31(1), pages 59-71.
• Sarah Tahamont & Zubin Jelveh & Melissa McNeill & Shi Yan & Aaron Chalfin & Benjamin Hansen, 2023. "No Ground Truth? No Problem: Improving Administrative Data Linking Using Active Learning and a Little Bit of Guile," NBER Working Papers 31100, National Bureau of Economic Research, Inc.
• Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," NBER Working Papers 31511, National Bureau of Economic Research, Inc.
• Turan G. Bali & Bryan T. Kelly & Mathis Mörke & Jamil Rahman, 2023. "Machine Forecast Disagreement," NBER Working Papers 31583, National Bureau of Economic Research, Inc.
• Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
  • Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," MetaArXiv 3qp2w, Center for Open Science.
  • Havranek, Tomas & Irsova, Zuzana & Bom, Pedro R. D. & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," CEPR Discussion Papers 17927, C.E.P.R. Discussion Papers.
  • Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
• Keith Cuthbertson & Dirk Nitzsche & Niall O’Sullivan, 2023. "UK mutual funds: performance persistence and portfolio size," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 284-298, July.
• Ozili, Peterson K, 2023. "The acceptable R-square in empirical modelling for social science research," MPRA Paper 115769, University Library of Munich, Germany.
• Mullat, Joseph, 2023. "Validating the Postulates of rational Choice in the Context of economical Fuel Consumption of Vehicles," MPRA Paper 117929, University Library of Munich, Germany.
• Lee, David, 2023. "Default Forecasting and Credit Valuation Adjustment," MPRA Paper 118578, University Library of Munich, Germany.
• Kitova, Olga & Dyakonova, Ludmila & Savinova, Victoria & Fomin, Kiril, 2023. "Forecasting the main economic indicators for industry in the analytical system "Horizon"," MPRA Paper 118887, University Library of Munich, Germany.
• Park, Kyungjin & Lee, Hojin, 2023. "In-Sample and Out-of-Sample Predictability of Cryptocurrency Returns," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 27(3), pages 213-242, September.
• Botchuin, Wilfred Catin, 2023. "Inclusive Growth Analysis: Evidence from Côte d’Ivoire," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 76(1), pages 91-134.
• Ebaidalla, Ebaidalla M., 2023. "Inequality of Opportunity in Child Health in Sudan: Across-Region Study," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 48(1), pages 59-83, March.
• Hayat SHAHID & Amena UROOJ & Zahid ASGHAR, 2023. "Impact of Seasonal Level Shift (SLS) on Time Series Forecasting," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 107-128, March.
• Mikhail Walden & Paul Lajbcygier, 2023. "Nonlinear hedge fund index clones?," Australian Journal of Management, Australian School of Business, vol. 48(1), pages 147-170, February.
• Muneer Shaik, 2023. "The Dynamic Effect of Pandemics on Industrial Production Growth," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(4), pages 486-506, December.
• Thorsten Lehnert, 2023. "The Green Stock Market Bubble," Circular Economy and Sustainability,, Springer.
• Zhuo Chen & Bo Yan & Hanwen Kang, 2023. "Price bubbles of agricultural commodities: evidence from China’s futures market," Empirical Economics, Springer, vol. 64(1), pages 195-222, January.
• Peter C. B. Phillips & Jun Yu, 2023. "Information loss in volatility measurement with flat price trading," Empirical Economics, Springer, vol. 64(6), pages 2957-2999, June.
  • Peter C.B. Phillips & Jun Yu, 2007. "Information Loss in Volatility Measurement with Flat Price Trading," Levine's Bibliography 321307000000000805, UCLA Department of Economics.
  • Peter C.B. Phillips & Jun Yu, 2007. "Information Loss in Volatility Measurement with Flat Price Trading," Cowles Foundation Discussion Papers 1598, Cowles Foundation for Research in Economics, Yale University.
  • Peter C.B.Phillips & Jun Yu, 2008. "Information Loss in Volatility Measurement with Flat Price Trading," Working Papers CoFie-01-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
  • Peter C. B. Phillips & Jun Yu, 2009. "Information Loss in Volatility Measurement with Flat Price Trading," Global COE Hi-Stat Discussion Paper Series gd08-039, Institute of Economic Research, Hitotsubashi University.
• Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
• Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
• Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2023. "The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 67-74, February.
  • Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2022. "The Common Interests of Health Protection and the Economy: Evidence from Scenario Calculations of Covid-19 Containment Policies," CESifo Working Paper Series 9600, CESifo.
  • Florian Dorn & Sahamoddin Khailaie & Marc Stöckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & M, 2022. "The Common Interests of Health Protection and the Economy: Evidence from Scenario Calculations of Covid-19 Containment Policies," ifo Working Paper Series 367, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
• Ângela Jornada Ben & Johanna M. Dongen & Mohamed El Alili & Martijn W. Heymans & Jos W. R. Twisk & Janet L. MacNeil-Vroomen & Maartje Wit & Susan E. M. Dijk & Teddy Oosterhuis & Judith E. Bosmans, 2023. "The handling of missing data in trial-based economic evaluations: should data be multiply imputed prior to longitudinal linear mixed-model analyses?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 951-965, August.
• India Flint & Jasmina Medjedovic & Ewa Drogon O’Flaherty & Elena Alvarez-Baron & Karthinathan Thangavelu & Natasa Savic & Aurelie Meunier & Louise Longworth, 2023. "Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1061-1072, September.
• Shiv Shankar & Pushpa Trivedi, 2023. "Assessing India’s fiscal sustainability considering debt–deficit and financing dynamics," Indian Economic Review, Springer, vol. 58(1), pages 41-70, June.
• Mihai Mutascu & Scott W. Hegerty, 2023. "Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 400-416, June.
• Hai-Anh H. Dang & Paolo Verme, 2023. "Estimating poverty for refugees in data-scarce contexts: an application of cross-survey imputation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 653-679, April.
  • Hai-Anh Dang & Paolo Verme, 2021. "Estimating Poverty for Refugees in Data-scarce Contexts: An Application of Cross-Survey Imputation," Working Papers 578, ECINEQ, Society for the Study of Economic Inequality.
• Alastaire Sena Alinsato & Kora Hafiz Bete & Nassibou Bassongui, 2023. "A climate–economy model in a stochastic differential equilibrium with fractional Brownian motions and Poisson jumps," SN Business & Economics, Springer, vol. 3(8), pages 1-23, August.
• André Heymans & Wayne Brewer, 2023. "Measuring the Relationship Between Intraday Returns, Volatility Spillovers, and Market Beta During Financial Distress," Springer Books, in: Pieter W. Buys & Merwe Oberholzer (ed.), Business Research, chapter 0, pages 77-98, Springer.
• Nico Keilman, 2023. "A probabilistic forecast of the immigrant population of Norway," Discussion Papers 996, Statistics Norway, Research Department.
• Zhiyang Jia & Stefan Leknes & Sturla A. Løkken, 2023. "Moving beyond expectations. From cohort-component to microsimulation projections," Discussion Papers 999, Statistics Norway, Research Department.
• Mercedes Rubio-Andrés & María del Mar Ramos-González & Manuel M. Molina-López & Miguel Ángel Sastre-Castillo, 2023. "Training higher education students for employability skills: Is it worth it?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 10(4), pages 390-407, June.
• Marian Vavra, 2023. "Bias-Correction in Time Series Quantile Regression Models," Working and Discussion Papers WP 3/2023, Research Department, National Bank of Slovakia.
• Martin Burda & Remi Daviet, 2023. "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, vol. 42(1), pages 54-77, January.
  • Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
• Zangin Zeebari & Ghazi Shukur, 2023. "On The Least Absolute Deviations Method for Ridge Estimation of Sure Models," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(14), pages 4773-4791, July.
  • Zeebari, Zangin & Shukur, Ghazi, 2012. "On the Least Absolute Deviations Method for Ridge Estimation of SURE Models," HUI Working Papers 69, HUI Research.
• Shengjie Hong & Yu-Chin Hsu & Yuanyuan Wan, 2023. "Subvector inference for Varying Coefficient Models with Partial Identification," Working Papers tecipa-756, University of Toronto, Department of Economics.
• Yu-Chin Hsu & Ji-Liang Shiu & Yuanyuan Wan, 2023. "Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs," Working Papers tecipa-761, University of Toronto, Department of Economics.
• Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2023. "A Note on Quasi-Maximum-Likelihood Estimation in Hidden Markov Models with Covariate-Dependent Transition Probabilities," Working Papers 234, Red Nacional de Investigadores en Economía (RedNIE).
  • Demian Pouzo & Zacharias Psaradakis & Martín Sola, 2023. "A Note on Quasi-Maximum-Likelihood Estimation in Hidden Markov Models with Covariate-Dependent Transition Probabilities," Department of Economics Working Papers 2023_01, Universidad Torcuato Di Tella.
• Bouabsa Wahiba, 2023. "The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(1), pages 17-32, March.
• Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
  • Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference For Clustered Errors," Working Paper 1315, Economics Department, Queen's University.
• Dejan ŽIvkov & Marko Peä†Anac & Dajana Ercegovac, 2023. "Interdependence Between Stocks And Exchange Rate In East Asiaâ €” A Wavelet-Based Approach," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 68(03), pages 917-939, June.
• Appel, Franziska & Balmann, Alfons, 2023. "Predator or prey? Effects of farm growth on neighbouring farms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 74(1), pages 214-236.
• Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," MetaArXiv 3qp2w, Center for Open Science.
  • Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
  • Havranek, Tomas & Irsova, Zuzana & Bom, Pedro R. D. & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," CEPR Discussion Papers 17927, C.E.P.R. Discussion Papers.
  • Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
• Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
  • Dang, Hai-Anh H. & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," GLO Discussion Paper Series 1226, Global Labor Organization (GLO).
  • Dang, Hai-Anh & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," IZA Discussion Papers 15873, Institute of Labor Economics (IZA).
• Dang, Hai-Anh & Dhongde, Shatakshee & Do, Minh N.N. & Nguyen, Cuong Viet & Pimhidzai, Obert, 2023. "Rapid Economic Growth but Rising Poverty Segregation: Will Vietnam Meet the SDGs for Equitable Development?," IZA Discussion Papers 15916, Institute of Labor Economics (IZA).
  • Dang, Hai-Anh H. & Dhongde, Shatakshee & Do, Minh & Nguyen, Cuong Viet & Pimhidzai, Obert, 2023. "Rapid Economic Growth but Rising Poverty Segregation: Will Vietnam Meet the SDGs for Equitable Development?," GLO Discussion Paper Series 1236, Global Labor Organization (GLO).
• Flavin, Thomas & Sheenan, Lisa, 2023. "Can Green Bonds be a Safe Haven for Equity Investors?," QBS Working Paper Series 2023/06, Queen's University Belfast, Queen's Business School.
• Andor, Mark Andreas & Bernstein, David H. & Parmeter, Christopher F. & Sommer, Stephan, 2023. "Internal meta-analysis for Monte Carlo simulations," Ruhr Economic Papers 997, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

2022

• Ozturk, Serda Selin & Demirer, Riza & Gupta, Rangan, 2022. "Climate uncertainty and carbon emissions prices: The relative roles of transition and physical climate risks," Economics Letters, Elsevier, vol. 217(C).
  • Serda Selin Ozturk & Riza Demirer & Rangan Gupta, 2022. "Climate Uncertainty and Carbon Emissions Prices: The Relative Roles of Transition and Physical Climate Risks," Working Papers 202215, University of Pretoria, Department of Economics.
• Goodness C. Aye & Riza Demirer & Rangan Gupta & Jacobus Nel, 2022. "The Pricing Implications of Cryptocurrency Mining on Global Electricity Markets: Evidence from Quantile Causality Tests," Working Papers 202220, University of Pretoria, Department of Economics.
• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
  • Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
  • Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
• Lapshin, Viktor & Anton, Markov, 2022. "MCMC-based credit rating aggregation algorithm to tackle data insufficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 50-72.
• Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
• Mojtaba Hajian Heidary, 2022. "The Effect of COVID-19 Pandemic on the Global Supply Chain Operations: A System Dynamics Approach," Foreign Trade Review, , vol. 57(2), pages 198-220, May.
• Ellie Papavasiliou & Nikolas Topaloglou & Georgios Tsomidis, 2022. "Investors’ Behavior in Alternative Asset Classes," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 72(3-4), pages 3-55, July-Dece.
• Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
• Lotfi Boudabsa & Damir Filipović, 2022. "Machine learning with kernels for portfolio valuation and risk management," Finance and Stochastics, Springer, vol. 26(2), pages 131-172, April.
• Christos Agiakloglou & Anil Bera & Emmanouil Deligiannakis, 2022. "Evaluating measures of dependence for linearly generated nonlinear time series along with spurious correlation," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 535-552, July.
• Benjamin R. Auer, 2022. "On false discoveries of standard t-tests in investment management applications," Review of Managerial Science, Springer, vol. 16(3), pages 751-768, April.
• Yi-Chen Huang & Tak-Yu Cheng & Bin-Tzong Chie, 2022. "The Effect of Dishonest Sellers on E-commerce: An Agent-Based Modeling Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(4), pages 1-5.
• Jiexiang Li, 2022. "Comparing Different Permutation Tests with Dickey-Fuller Tests for Unit Root in the Autoregressive Time Series," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(2), pages 1-1.
• Thomas von Brasch & Arvid Raknerud & Trond C. Vigtel, 2022. "Identifying the elasticity of substitution between capital and labour. A pooled GMM panel estimator," Discussion Papers 976, Statistics Norway, Research Department.
• Artūras Juodis & Vasilis Sarafidis, 2022. "A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 1-15, January.
  • Arturas Juodis & Vasilis Sarafidis, 2020. "A Linear Estimator for FactorAugmented Fixed-T Panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 5/20, Monash University, Department of Econometrics and Business Statistics.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman van Dijk, 2022. "A Flexible Predictive Density Combination Model for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-013/III, Tinbergen Institute.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2022. "A Flexible Predictive Density Combination for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-053/III, Tinbergen Institute.
• Marina Brogi & Valentina Lagasio & Fabrizio Santoboni, 2022. "Non-Damage Business Interruption Insurance Policies During The Covid-19 Pandemic," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 20(1), pages 41-48, May.
• Ylenia Brilli, 2022. "Mother’s Time Allocation, Childcare, and Child Cognitive Development," Journal of Human Capital, University of Chicago Press, vol. 16(2), pages 233-272.
  • Brilli, Ylenia, 2015. "Mother's Time Allocation, Child Care and Child Cognitive Development," Economics Working Papers MWP2015/03, European University Institute.
  • Brilli, Ylenia, 2017. "Mother’s Time Allocation, Child Care and Child Cognitive Development," Working Papers in Economics 695, University of Gothenburg, Department of Economics.
  • Ylenia Brilli, 2017. "Mother's Time Allocation, Child Care and Child Cognitive Development," CHILD Working Papers Series 59 JEL Classification: D1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
  • Ylenia Brilli, 2021. "Mother's time allocation, child care and child cognitive development," Working Papers 2021: 30, Department of Economics, University of Venice "Ca' Foscari".
• Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
• Per Lindh & Polina Lemenkova, 2022. "Leaching of Heavy Metals from Contaminated Soil Stabilised by Portland Cement and Slag Bremen," ULB Institutional Repository 2013/354610, ULB -- Universite Libre de Bruxelles.
• Goller, Daniel & Heiniger, Sandro, 2022. "A general framework to quantify the event importance in multi-event contests," Economics Working Paper Series 2204, University of St. Gallen, School of Economics and Political Science.
• Hamri Mohamed Mehdi & Mekki Sanaà Dounya & Rabhi Abbes & Kadiri Nadia, 2022. "Single Functional Index Quantile Regression for Independent Functional Data Under Right-Censoring," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 26(1), pages 31-62, March.
• Bouabsa Wahiba, 2022. "Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the K Nearest Neighbour Method," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 26(2), pages 30-46, June.
• Hamri Mohamed Mehdi & Dib Abdassamad & Rabhi Abbes, 2022. "Asymptotic Properties of the Estimator of the Conditional Distribution for Associated Functional Data," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 26(3), pages 21-34, September.
• Trzcińska Kamila, 2022. "An Analysis of Household Income in Poland and Slovakia Based on Selected Income Models," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 287-301, June.
• Jaržemskis Andrius & Jaržemskienė Ilona, 2022. "European Green Deal Implications on Country Level Energy Consumption," Folia Oeconomica Stetinensia, Sciendo, vol. 22(2), pages 97-122, December.
• Doszyń Mariusz, 2022. "Econometric Models of Real Estate Prices with Prior Information. Mixed Estimation," Real Estate Management and Valuation, Sciendo, vol. 30(3), pages 61-72, September.
• Thi Thu Giang Nguyen & Robert Ślepaczuk, 2022. "The efficiency of various types of input layers of LSTM model in investment strategies on S&P500 index," Working Papers 2022-29, Faculty of Economic Sciences, University of Warsaw.
• Thi Huyen Tran & Robert Ślepaczuk, 2022. "Quantile regression analysis to predict GDP distribution using data from the US and UK," Working Papers 2022-30, Faculty of Economic Sciences, University of Warsaw.
• Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
  • Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.
  • Carlos Lamarche & Thomas Parker, 2022. "Wild Bootstrap Inference For Penalized Quantile Regression For Longitudinal Data," Working Papers 22003 Classification-C15,, University of Waterloo, Department of Economics.
• Gustavo Javier Canavire-Bacarreza & Fernando Rios-Avila, 2022. "Recovering income distribution in the presence of interval-censored data," 2022 Stata Conference 19, Stata Users Group.
  • Canavire Bacarreza,Gustavo Javier & Rios Avila,Fernando & Sacco Capurro,Flavia Giannina, 2022. "Recovering Income Distribution in the Presence of Interval-Censored Data," Policy Research Working Paper Series 10147, The World Bank.
  • Canavire Bacarreza, Gustavo J. & Rios-Avila, Fernando & Sacco-Capurro, Flavia, 2023. "Recovering Income Distribution in the Presence of Interval-Censored Data," IZA Discussion Papers 15921, Institute of Labor Economics (IZA).
• Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
  • Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities," Papers 1612.04932, arXiv.org, revised Dec 2021.
  • Demian Pouzo & Zacharias Psaradakis & Martín Sola, 2021. "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities," Department of Economics Working Papers 2021_07, Universidad Torcuato Di Tella.
• Franco Peracchi & Claudio Rossetti, 2022. "A nonlinear dynamic factor model of health and medical treatment," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1046-1066, June.
  • Franco Peracchi & Claudio Rossetti, 2019. "A Nonlinear Dynamic Factor Model of Health and Medical Treatment," CSEF Working Papers 524, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Franco Peracchi & Claudio Rossetti, 2019. "A nonlinear dynamic factor model of health and medical treatment," EIEF Working Papers Series 1901, Einaudi Institute for Economics and Finance (EIEF), revised Feb 2019.
• Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
  • van Hasselt, Martijn & Bollinger, Christopher & Bray, Jeremy, 2019. "A Bayesian Approach to Account for Misclassification in Prevalence and Trend Estimation," UNCG Economics Working Papers 19-13, University of North Carolina at Greensboro, Department of Economics.
• M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2020. "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series 8695, CESifo.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2021. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Papers 2109.00321, arXiv.org, revised Jan 2022.
  • Pesaran, M. H. & Yang, C. F., 2020. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Cambridge Working Papers in Economics 20102, Faculty of Economics, University of Cambridge.
• Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
• Weicheng Xu & Xiao Wang & Zhendong Zhang, 2022. "The Role Of The Information Technology In The Industrial Structure Optimization And Upgrading In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 67(06), pages 2023-2048, December.
• Hrishikesh D Vinod, 2022. "Hands-on Intermediate Econometrics Using R:Templates for Learning Quantitative Methods and R Software," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 12831.
• José Antonio Pérez Mínguez & Inmaculada Villanúa Martín, 2022. "El contraste reset en los modelos logit y probit. Un estudio de Monte Carlo," Documentos de Trabajo dt2022-02, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
• Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• du Plessis, Emile & Fritsche, Ulrich, 2022. "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series 67, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  • Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
  • James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
• Hasan Arda Burhan, 2022. "Crop Yield Prediction by Integrating Meteorological and Pesticides Use Data with Machine Learning Methods: An Application for Major Crops in Turkey," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 7(SI), pages 1-18.
• Victor Champonnois & Olivier Chanel & Costin Protopopescu, 2022. "Quantile Regression Analysis of Censored Data with Selection An Application to Willingness-to-Pay Data," Working Papers hal-03739861, HAL.
  • Victor Champonnois & Olivier Chanel & Costin Protopopescu, 2022. "Quantile Regression Analysis of Censored Data with Selection An Application to Willingness-to-Pay Data," AMSE Working Papers 2214, Aix-Marseille School of Economics, France.
• Denitsa ZHECHEVA & Nayden NENKOV, 2022. "Business demands for processing unstructured textual data – text mining techniques for companies to implement," Access Journal, Access Press Publishing House, vol. 3(2), pages 107-120, April.
• Ekaterina V. Orlova, 2022. "Impact of Companies' Social Capital on Person's Innovativeness in Russia: Economic Mechanisms and Diagnostic Tools," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 21(3), pages 545-575.
• M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Orsi, Renzo & Mouchart, Michel & Wunsch, Guillaume, 2022. "Causality in Econometric Modeling : From Theory to Structural Causal Modeling," LIDAM Reprints ISBA 2022024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA 2020021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers CORE 2020003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  • Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
  • James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
• Korobilis, Dimitris, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," European Economic Review, Elsevier, vol. 148(C).
  • Dimitris Korobilis, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," Papers 2206.06892, arXiv.org.
• Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Bank of Russia Working Paper Series wps104, Bank of Russia.
  • Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
• Noori, Ali Heydar & Sarlak, Ahmad & Rahmati, Mohammad Hossein, 2022. "Optimal Government Budget Allocation According to Aggregate Welfare using Generalized Method of Moments (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, vol. 26(4), pages 65-91, March.
• Maryna Hrysenko & Olena Pryiatelchuk & Liudmila Shvorak, 2022. "Correlation And Interaction Of Economic Creativity Factors As A Determinant Of Sustainable Development (On The Example Of The Eu Countries)," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 8(2).
• Shulin Shen & Le Xia & Yulin Shuai & Da Gao, 2022. "China | Con Big Data medimos el sentimiento de los medios sobre mercados de valores chinos [Measuring news media sentiment using Big Data for Chinese stock markets]," Working Papers 22/05, BBVA Bank, Economic Research Department.
• Araujo, Gustavo Silva & Gaglianone, Wagner Piazza, 2023. "Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(2).
  • Gustavo Silva Araujo & Wagner Piazza Gaglianone, 2022. "Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models," Working Papers Series 561, Central Bank of Brazil, Research Department.
• Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
  • Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Bank of Russia Working Paper Series wps104, Bank of Russia.
• Canavire Bacarreza,Gustavo Javier & Rios Avila,Fernando & Sacco Capurro,Flavia Giannina, 2022. "Recovering Income Distribution in the Presence of Interval-Censored Data," Policy Research Working Paper Series 10147, The World Bank.
  • Canavire Bacarreza, Gustavo J. & Rios-Avila, Fernando & Sacco-Capurro, Flavia, 2023. "Recovering Income Distribution in the Presence of Interval-Censored Data," IZA Discussion Papers 15921, Institute of Labor Economics (IZA).
  • Gustavo Javier Canavire-Bacarreza & Fernando Rios-Avila, 2022. "Recovering income distribution in the presence of interval-censored data," 2022 Stata Conference 19, Stata Users Group.
• Mike G. Tsionas, 2022. "Novel techniques for Bayesian inference in univariate and multivariate stochastic volatility models," Working Papers 294, Bank of Greece.
• Gregor Boehl, 2022. "Ensemble MCMC Sampling for DSGE Models," CRC TR 224 Discussion Paper Series crctr224_2022_355, University of Bonn and University of Mannheim, Germany.
• Jumamyradov Maksat & Munkin Murat K., 2022. "Biases in Maximum Simulated Likelihood Estimation of Bivariate Models," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 55-70, January.
• Canepa Alessandra, 2022. "Small Sample Adjustment for Hypotheses Testing on Cointegrating Vectors," Journal of Time Series Econometrics, De Gruyter, vol. 14(1), pages 51-85, January.
  • Canepa, Alessandra, 2021. "Small Sample Adjustment for Hypotheses Testing on Cointegrating Vectors," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202108, University of Turin.
• Nazlioglu Saban & Lee Junsoo & Karul Cagin & You Yu, 2022. "Testing for stationarity with covariates: more powerful tests with non-normal errors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(2), pages 191-203, April.
• Topcu Guloksuz Cigdem & Kumar Pranesh, 2022. "A new bivariate Archimedean copula with application to the evaluation of VaR," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(2), pages 273-285, April.
• Gogebakan Kemal Caglar, 2022. "A family of nonparametric unit root tests for processes driven by infinite variance innovations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(5), pages 705-721, December.
• Giacomo De Giorgi & Michele Pellizzari & Tomás Rodríguez, 2022. "Network Formation and Peer Effects: Connecting Two Strands of Literature," Revue économique, Presses de Sciences-Po, vol. 73(5), pages 669-681.
• Alex Tian & Tom Coupé & Sayak Khatua & W. Robert Reed & Ben Wood, 2022. "Power to the Researchers: Calculating Power After Estimation," Working Papers in Economics 22/17, University of Canterbury, Department of Economics and Finance.
• Dixon, Huw David & Tian, Maoshan, 2022. "The Confidence Interval of Cross-Sectional Distribution of Durations," Cardiff Economics Working Papers E2022/15, Cardiff University, Cardiff Business School, Economics Section.
• Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2023. "The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 67-74, February.
  • Florian Dorn & Sahamoddin Khailaie & Marc Stöckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & M, 2022. "The Common Interests of Health Protection and the Economy: Evidence from Scenario Calculations of Covid-19 Containment Policies," ifo Working Paper Series 367, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  • Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2022. "The Common Interests of Health Protection and the Economy: Evidence from Scenario Calculations of Covid-19 Containment Policies," CESifo Working Paper Series 9600, CESifo.
• Johannes König & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Tinbergen Institute Discussion Papers 22-038/III, Tinbergen Institute.
  • Johannes König & David I. Stern & Richard S. J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," CESifo Working Paper Series 9780, CESifo.
  • Johannes Koenig & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Working Paper Series 0122, Department of Economics, University of Sussex Business School.
  • Johannes Konig & David I. Stern & Richard S. J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Papers 2206.00004, arXiv.org.
• Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2023. "The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 67-74, February.
  • Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2022. "The Common Interests of Health Protection and the Economy: Evidence from Scenario Calculations of Covid-19 Containment Policies," CESifo Working Paper Series 9600, CESifo.
  • Florian Dorn & Sahamoddin Khailaie & Marc Stöckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & M, 2022. "The Common Interests of Health Protection and the Economy: Evidence from Scenario Calculations of Covid-19 Containment Policies," ifo Working Paper Series 367, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
• Demetrio Lacava & Angelo Ranaldo & Paolo Santucci de Magistris, 2022. "Realized Illiquidity," Swiss Finance Institute Research Paper Series 22-90, Swiss Finance Institute.
• Ivan Lagrosa, 2022. "Income dynamics in dual labor markets," Working Papers wp2022_2209, CEMFI.
• Alfred Galichon & Bernard Salanié, 2022. "Estimating Separable Matching Models," SciencePo Working papers Main hal-03936122, HAL.
  • Salanié, Bernard & Galichon, Alfred, 2022. "Estimating Separable Matching Models," CEPR Discussion Papers 17155, C.E.P.R. Discussion Papers.
  • Alfred Galichon & Bernard Salanié, 2022. "Estimating Separable Matching Models," Working Papers hal-03936122, HAL.
• Shuping Shi & Peter C. B. Phillips, 2022. "Econometric Analysis of Asset Price Bubbles," Cowles Foundation Discussion Papers 2331, Cowles Foundation for Research in Economics, Yale University.
• Julia Bellenbaum & Benjamin Böcker & Thomas Kallabis & Christoph Weber, 2022. "Probabilistic methodology for adequacy assessment under uncertainty for a multi-region system," EWL Working Papers 2205, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised May 2022.
• Rizki Firmansyah Setya Budi & Sarjiya Sarjiya & Sasongko Pramoho Hadi, 2022. "The Prospect of Rooftop Photovoltaic Development Considering Global Horizontal Irradiation Uncertainty and Government Policies: A Case of Java Island, Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 104-116, July.
• Unggul Priyadi & Eko Atmadji & Listya Endang Artiani & Shahrina Md Nordin & Muhammad Ridhuan Tony Lim Abdullah & Mochamad Ali Imron & Muhammad Alkirom Wildan & Rohayu Che Omar, 2022. "Sustainable Energy Economic Policy: Population, Energy Consumption, and Macroeconomic Conditions," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 80-85, November.
• Hailemariam, Abebe & Ivanovski, Kris & Dzhumashev, Ratbek, 2022. "Does R&D investment in renewable energy technologies reduce greenhouse gas emissions?," Applied Energy, Elsevier, vol. 327(C).
• Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
• Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
• Hung, Ying-Shu & Lee, Chingnun & Chen, Pei-Fen, 2022. "China’s monetary policy and global stock markets: A new cointegration approach with smoothing structural changes," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 643-666.
• Chen, Jun-Home & Lian, Yu-Min & Liao, Szu-Lang, 2022. "Pricing catastrophe equity puts with counterparty risks under Markov-modulated, default-intensity processes," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
• Shi, Ruoshi & Zhao, Yanlong & Bao, Ying & Peng, Cheng, 2022. "Sensitivity-based Conditional Value at Risk (SCVaR): An efficient measurement of credit exposure for options," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
• Ozturk, Serda Selin & Demirer, Riza & Gupta, Rangan, 2022. "Climate uncertainty and carbon emissions prices: The relative roles of transition and physical climate risks," Economics Letters, Elsevier, vol. 217(C).
  • Serda Selin Ozturk & Riza Demirer & Rangan Gupta, 2022. "Climate Uncertainty and Carbon Emissions Prices: The Relative Roles of Transition and Physical Climate Risks," Working Papers 202215, University of Pretoria, Department of Economics.
• Hahn, Jinyong & Liu, Xueyuan, 2022. "Jackknife bias reduction for simulated maximum likelihood estimator of discrete choice models," Economics Letters, Elsevier, vol. 219(C).
• Gallant, A. Ronald, 2022. "Nonparametric Bayes subject to overidentified moment conditions," Journal of Econometrics, Elsevier, vol. 228(1), pages 27-38.
• Gallant, A. Ronald & Hong, Han & Leung, Michael P. & Li, Jessie, 2022. "Constrained estimation using penalization and MCMC," Journal of Econometrics, Elsevier, vol. 228(1), pages 85-106.
• Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
  • Juodis, Arturas & Sarafidis, Vasilis, 2020. "An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104906, University Library of Munich, Germany.
• Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
• Dovonon, Prosper & Taamouti, Abderrahim & Williams, Julian, 2022. "Testing the eigenvalue structure of spot and integrated covariance," Journal of Econometrics, Elsevier, vol. 229(2), pages 363-395.
• Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
  • Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
• De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2022. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Journal of Econometrics, Elsevier, vol. 230(2), pages 299-317.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Tinbergen Institute Discussion Papers 20-015/III, Tinbergen Institute.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with anapplication to WALS estimation," EIEF Working Papers Series 2003, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2020.
• Dette, Holger & Golosnoy, Vasyl & Kellermann, Janosch, 2022. "Correcting Intraday Periodicity Bias in Realized Volatility Measures," Econometrics and Statistics, Elsevier, vol. 23(C), pages 36-52.
• Korobilis, Dimitris, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," European Economic Review, Elsevier, vol. 148(C).
  • Dimitris Korobilis, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," Papers 2206.06892, arXiv.org.
• Fianu, Emmanuel Senyo & Ahelegbey, Daniel Felix & Grossi, Luigi, 2022. "Modeling risk contagion in the Italian zonal electricity market," European Journal of Operational Research, Elsevier, vol. 298(2), pages 656-679.
  • Daniel Felix Ahelegbey & Emmanuel Senyo Fianu & Luigi Grossi, 2020. "Modeling Risk Contagion in the Italian Zonal Electricity Market," DEM Working Papers Series 182, University of Pavia, Department of Economics and Management.
• Alexander, Carol & Meng, Xiaochun & Wei, Wei, 2022. "Targeting Kollo skewness with random orthogonal matrix simulation," European Journal of Operational Research, Elsevier, vol. 299(1), pages 362-376.
• Fu, Hsuan & Luger, Richard, 2022. "Multiple testing of the forward rate unbiasedness hypothesis across currencies," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 232-245.
• Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2022. "Mutual fund performance persistence: Factor models and portfolio size," International Review of Financial Analysis, Elsevier, vol. 81(C).
• Smith, Simon C., 2022. "Time-variation, multiple testing, and the factor zoo," International Review of Financial Analysis, Elsevier, vol. 84(C).
• Lim, Hanah, 2022. "Benefit attribution in financial systems with bilateral netting," Finance Research Letters, Elsevier, vol. 45(C).
• Tong, Zhongwen & Chen, Zhanbo & Zhu, Chen, 2022. "Nonlinear dynamics analysis of cryptocurrency price fluctuations based on Bitcoin," Finance Research Letters, Elsevier, vol. 47(PB).
• Hong, Yanran & Xu, Pengfei & Wang, Lu & Pan, Zhigang, 2022. "Relationship between the news-based categorical economic policy uncertainty and US GDP: A mixed-frequency Granger-causality analysis," Finance Research Letters, Elsevier, vol. 48(C).
• Koike, Takaaki & Saporito, Yuri & Targino, Rodrigo, 2022. "Avoiding zero probability events when computing Value at Risk contributions," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 173-192.
  • Takaaki Koike & Yuri F. Saporito & Rodrigo S. Targino, 2020. "Avoiding zero probability events when computing Value at Risk contributions," Papers 2004.13235, arXiv.org, revised Jun 2022.
• Feng, Ben Mingbin & Li, Johnny Siu-Hang & Zhou, Kenneth Q., 2022. "Green nested simulation via likelihood ratio: Applications to longevity risk management," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 285-301.
• Mazza, Paolo & Ruh, Benjamin, 2022. "The performance of corporate legal insider trading in the Korean market," International Review of Law and Economics, Elsevier, vol. 71(C).
• Feng, Qu & Wu, Guiying Laura & Yuan, Mengying & Zhou, Shihao, 2022. "Save lives or save livelihoods? A cross-country analysis of COVID-19 pandemic and economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 221-256.
• Lang, Corey & Pearson-Merkowitz, Shanna, 2022. "Aggregate data yield biased estimates of voter preferences," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
• Smith, Simon C. & Timmermann, Allan, 2022. "Have risk premia vanished?," Journal of Financial Economics, Elsevier, vol. 145(2), pages 553-576.
• Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.
• Lim, Kian Guan, 2022. "Endogeneity of commodity price in freight cost models," Journal of Commodity Markets, Elsevier, vol. 26(C).
• Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
• Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
• Zhang, Xiaoyu & Zhou, Jinlan & Du, Xiaodong, 2022. "Impact of oil price uncertainty shocks on China’s macro-economy," Resources Policy, Elsevier, vol. 79(C).
• Brandão, Lucas G.L. & Ehrl, Philipp, 2022. "The impact of transmission auctions on Brazilian electric power companies," Utilities Policy, Elsevier, vol. 78(C).
• Huang, Jing-Zhi & Ni, Jun & Xu, Li, 2022. "Leverage effect in cryptocurrency markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
• Shen, Shulin & Xia, Le & Shuai, Yulin & Gao, Da, 2022. "Measuring news media sentiment using big data for Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
• Bui, Quynh & Ślepaczuk, Robert, 2022. "Applying Hurst Exponent in pair trading strategies on Nasdaq 100 index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
• Ahelegbey, Daniel Felix & Giudici, Paolo, 2022. "NetVIX — A network volatility index of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
  • Daniel Felix Ahelegbey & Paolo Giudici, 2020. "NetVIX - A Network Volatility Index of Financial Markets," DEM Working Papers Series 192, University of Pavia, Department of Economics and Management.
• Black, Bernard & Hollingsworth, Alex & Nunes, Letícia & Simon, Kosali, 2022. "Simulated power analyses for observational studies: An application to the Affordable Care Act Medicaid expansion," Journal of Public Economics, Elsevier, vol. 213(C).
  • Bernard Black & Alex Hollingsworth & Leticia Nunes & Kosali Simon, 2019. "Simulated Power Analyses for Observational Studies: An Application to the Affordable Care Act Medicaid Expansion," NBER Working Papers 25568, National Bureau of Economic Research, Inc.
• Salisu, Afees A. & Shaik, Muneer, 2022. "Islamic Stock indices and COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 282-293.
• Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2022. "On the volatility of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 62(C).
  • Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "On the volatility of cryptocurrencies," Working Papers 2202, University of Guelph, Department of Economics and Finance.
• Jiménez-Fernández, Eduardo & Sánchez, Angeles & Ortega-Pérez, Mario, 2022. "Dealing with weighting scheme in composite indicators: An unsupervised distance-machine learning proposal for quantitative data," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
• Franke, Reiner, 2022. "An empirical test of a fundamental Harrod-Kaldor business cycle model," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 1-14.
• Issa, Samar & Gevorkyan, Aleksandr V., 2022. "Optimal corporate leverage and speculative cycles: an empirical estimation," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 478-491.
• Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  • Ott, Ingrid & Savin, Ivan & Konop, Chris, 2021. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Kiel Working Papers 2180, Kiel Institute for the World Economy (IfW Kiel).
• Rodríguez-Castelán, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Granguillhome Ochoa, Rogelio, 2022. "Competition reform and household welfare: A microsimulation analysis of the telecommunication sector in Ethiopia," Telecommunications Policy, Elsevier, vol. 46(2).
  • Rodriguez Castelan, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Ochoa, Rogelio Granguillhome, 2021. "Competition Reform and Household Welfare: A Microsimulation Analysis of the Telecommunication Sector in Ethiopia," IZA Discussion Papers 14044, Institute of Labor Economics (IZA).
  • Rodriguez Castelan,Carlos & Malasquez Carbonel,Eduardo Alonso & Granguillhome Ochoa,Rogelio & Araar,Abdelkrim, 2021. "Competition Reform and Household Welfare : A Microsimulation Analysis of the Telecommunication Sector in Ethiopia," Policy Research Working Paper Series 9516, The World Bank.
• Ravan Moret & Andrew G. Chapple, 2022. "Analysis of the effects of adjusting for binary non-confounders in a logistic regression model after all true confounders have been accounted for: A simulation study," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 65(2), pages 1-12.
• Ravan Moret & Andrew G. Chapple, 2022. "Analysis of the effects of adjusting for binary non-confounders in a logistic regression model after all true confounders have been accounted for: A simulation study," EERI Research Paper Series EERI RP 2022/05, Economics and Econometrics Research Institute (EERI), Brussels.
• Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
• José Francisco Martínez-Sánchez & Francisco Venegas-Martínez & Gilberto Pérez-Lechuga, 2022. "Money laundering risk management in multiple-purpose financial institutions in Mexico: a Bayesian network approach," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 26(4), pages 845-861, May.
• Anastasia A. Sozinova & Olesya A. Meteleva, 2022. "Sites of States with a Dynamically Developing Socio-Political Structure and Economy: Analyzing Forms and Methods of Obtaining Competitive Advantages of Transnational (Global) Companies," Research in Economic Anthropology, in: Current Problems of the World Economy and International Trade, volume 42, pages 233-242, Emerald Group Publishing Limited.
• Aldona Migala-Warchol & Agata Surowka, 2022. "Forecasting Macroeconomic Indicators for Selected European Union Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 420-431.
• Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022. "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports 1025, Federal Reserve Bank of New York.
• Anders Rønn-Nielsen & Dorte Kronborg & Mette Asmild, 2022. "Permutation tests on returns to scale and common production frontiers in nonparametric models," IFRO Working Paper 2022/05, University of Copenhagen, Department of Food and Resource Economics.
• Marina Turuntseva & Ekaterina Astafieva & Marina Bayeva & Alexandra Bozhechkova & A. Buzaev & Tatiana Kiblitskaya & Yuri Ponomarev & Anton Skrobotov, 2022. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-29, January.
• Marina Turuntseva & Ekaterina Astafieva & Marina Bayeva & Alexandra Bozhechkova & A. Buzaev & Tatiana Kiblitskaya & Yuri Ponomarev & Anton Skrobotov, 2022. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 2, pages 1-29, February.
• Marina Turuntseva & Ekaterina Astafieva & Marina Bayeva & Alexandra Bozhechkova & A. Buzaev & Tatiana Kiblitskaya & Yuri Ponomarev & Anton Skrobotov, 2022. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-29, March.
• Marina Turuntseva & Ekaterina Astafieva & Marina Bayeva & Alexandra Bozhechkova & A. Buzaev & Tatiana Kiblitskaya & Yuri Ponomarev & Anton Skrobotov, 2022. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-29, April.
• Marina Turuntseva & Ekaterina Astafieva & Marina Bayeva & Alexandra Bozhechkova & A. Buzaev & Tatiana Kiblitskaya & Yuri Ponomarev & Anton Skrobotov, 2022. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-29, May.
• Marina Turuntseva & Ekaterina Astafieva & Marina Bayeva & Alexandra Bozhechkova & A. Buzaev & Tatiana Kiblitskaya & Yuri Ponomarev & Anton Skrobotov, 2022. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-29, June.
• António Portugal Duarte & Fátima Sol Murta, 2022. "Macroeconomic Impacts of the Covid-19 Pandemic in Some European Union Countries: A Counterfactual Analysis," GEE Papers 0161, Gabinete de Estratégia e Estudos, Ministério da Economia, revised May 2022.
  • António Manuel Portugal & Fatima Sol, 2022. "Macroeconomic Impacts of the Covid-19 Pandemic in Some European Union Countries: A Counterfactual Analysis," CeBER Working Papers 2022-05, Centre for Business and Economics Research (CeBER), University of Coimbra.
• Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2022. "On the volatility of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 62(C).
  • Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "On the volatility of cryptocurrencies," Working Papers 2202, University of Guelph, Department of Economics and Finance.
• Alfred Galichon & Bernard Salanié, 2022. "Estimating Separable Matching Models," Working Papers hal-03936122, HAL.
  • Alfred Galichon & Bernard Salanié, 2022. "Estimating Separable Matching Models," SciencePo Working papers Main hal-03936122, HAL.
  • Salanié, Bernard & Galichon, Alfred, 2022. "Estimating Separable Matching Models," CEPR Discussion Papers 17155, C.E.P.R. Discussion Papers.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Victor Champonnois & Olivier Chanel & Costin Protopopescu, 2022. "Quantile Regression Analysis of Censored Data with Selection An Application to Willingness-to-Pay Data," AMSE Working Papers 2214, Aix-Marseille School of Economics, France.
  • Victor Champonnois & Olivier Chanel & Costin Protopopescu, 2022. "Quantile Regression Analysis of Censored Data with Selection An Application to Willingness-to-Pay Data," Working Papers hal-03739861, HAL.
• Alfred Galichon & Bernard Salanié, 2022. "Estimating Separable Matching Models," SciencePo Working papers Main hal-03936122, HAL.
  • Alfred Galichon & Bernard Salanié, 2022. "Estimating Separable Matching Models," Working Papers hal-03936122, HAL.
  • Salanié, Bernard & Galichon, Alfred, 2022. "Estimating Separable Matching Models," CEPR Discussion Papers 17155, C.E.P.R. Discussion Papers.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Bruckmeier, Kerstin & d'Andria, Diego & Wiemers, Jürgen, 2022. "Universal, targeted or both: Effects of different child support policies on labour supply and poverty - A simulation study," IAB-Discussion Paper 202206, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
• Mühlhan, Jannek, 2022. "The ‘German job miracle’ and its impact on income inequality: a decomposition study," IAB-Discussion Paper 202216, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
• Miguel Antonio Alba Suarez & Miguel Ángel Alba Acosta & David Camilo Alba Acosta, 2022. "Estimación bayesiana del modelo de difusión con saltos de Merton," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(2), pages 1-32, Abril - J.
• Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
  • Hai-Anh Dang & Peter Lanjouw, 2022. "Regression-based Imputation for Poverty Measurement in Data Scarce Settings," Working Papers 611, ECINEQ, Society for the Study of Economic Inequality.
• Alessi, Lucia & Di Girolamo, Francesca Erica & Pagano, Andrea & Petracco Giudici, Marco, 2022. "Accounting for climate transition risk in banks' capital requirements," Working Papers 2022-08, Joint Research Centre, European Commission.
• Peter S. Sephton, 2022. "Finite Sample Lag Adjusted Critical Values of the ADF-GLS Test," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 177-183, January.
• Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
• Giovanni Villani, 2022. "A Neural Network Approach to Value R&D Compound American Exchange Option," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 305-324, June.
• Thomas Lux, 2022. "Bayesian Estimation of Agent-Based Models via Adaptive Particle Markov Chain Monte Carlo," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 451-477, August.
• Ugo Santosuosso & Alessio Papini, 2022. "An analysis about the accuracy of geographic profiling in relation to the number of observations and the buffer zone," Journal of Geographical Systems, Springer, vol. 24(4), pages 641-656, October.
• Onur Kemal Tosun & Liang Jin & Richard Taffler & Arman Eshraghi, 2022. "Fund manager skill: selling matters more!," Review of Quantitative Finance and Accounting, Springer, vol. 59(3), pages 969-994, October.
• Juan Menduiña, 2022. "Evolución de la pobreza monetaria en Colombia: Un análisis de descomposiciones," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 68, pages 75-109, January-D.
• António Portugal Duarte & Fátima Sol Murta, 2022. "Macroeconomic Impacts of the Covid-19 Pandemic in Some European Union Countries: A Counterfactual Analysis," GEE Papers 0161, Gabinete de Estratégia e Estudos, Ministério da Economia, revised May 2022.
• Giovanni Gallo & Silvia Granato & michele Raitano, 2022. "Heterogeneous effects of the Covid-19 crisis on Italian workers’ incomes: the role played by jobs routinization and teleworkability," Center for the Analysis of Public Policies (CAPP) 0180, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
• Sascha O. Becker & Yuan Hsiao & Steven J. Pfaff & Jared Rubin, 2022. "Multiplex Network Ties and the Spatial Diffusion of Radical Innovations: Martin Luther's Leadership in the Early Reformation," Monash Economics Working Papers 2022-21, Monash University, Department of Economics.
• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
  • Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
  • Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
• Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
  • Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
  • Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
  • Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
• Lynda Khalaf & Arturo Leccadito & Giovanni Urga, 2022. "Multilevel and Tail Risk Management [Backtesting Expected Shortfall]," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 20(5), pages 839-874.
• Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2022. "Market and model risks: a feasible joint estimate methodology," Risk Management, Palgrave Macmillan, vol. 24(3), pages 187-213, September.
• Istvan Fekete, 2022. "Supporting decision-making with the tools of risk management," Public Finance Quarterly, State Audit Office of Hungary, vol. 67(5), pages 28-47.
• Fekete, István, 2022. "Supporting Decision-Making with the Tools of Risk Management," Public Finance Quarterly, Corvinus University of Budapest, vol. 67(Spec), pages 28-47.
• Haggi, Hamed & M. Fenton, James & Brooker, Paul & Sun, Wei, 2022. "Optimal H2 Production and Consumption for Improved Utility Operations: Path to Net-Zero Emission Energy Production," MPRA Paper 111390, University Library of Munich, Germany.
• Pihnastyi, Oleh & Kozhevnikov, Georgii & Ivanovska, Olha, 2022. "Maxwell-Element Model for Describing Conveyor Belt Stresses," MPRA Paper 112560, University Library of Munich, Germany, revised 01 Jan 2022.
• Ben Salem, Ameni & Safer, Imene & Khefacha, Islem, 2022. "Value-at-Risk (VAR) Estimation Methods: Empirical Analysis based on BRICS Markets," MPRA Paper 113350, University Library of Munich, Germany, revised May 2022.
• Pihnastyi, Oleh & Khodusov, Valery & Kotova, Anna, 2022. "The problem of combined optimal load flow control of main conveyor line," MPRA Paper 113787, University Library of Munich, Germany, revised 05 Jun 2022.
• Koffi, Siméon, 2022. "Prévision de l’inflation en Côte D’ivoire : Analyse Comparée des Modèles Arima, Holt-Winters, et Lstm [Inflation Forecasting in Côte D'Ivoire: A Comparative Analysis of the Arima, Holt-Winters, and," MPRA Paper 113961, University Library of Munich, Germany.
• Barrera, Carlos, 2022. "Characterizing the Anchoring Effects of Official Forecasts on Private Expectations," MPRA Paper 114258, University Library of Munich, Germany.
• Wang, Wenjie, 2022. "Wild bootstrap test of overidentification with many instruments and heteroskedasticity," MPRA Paper 115168, University Library of Munich, Germany.
• Pihnastyi, Oleh & Chernіavska, Svіtlana, 2022. "Improvement of methods for description of a three-bunker collection conveyor," MPRA Paper 115529, University Library of Munich, Germany, revised 15 Oct 2022.
• Pihnastyi, Oleh & Burduk, Anna, 2022. "Analysis of a Dataset for Modeling a Transport Conveyor," MPRA Paper 116161, University Library of Munich, Germany, revised 26 Nov 2022.

2021

• Andreasen, Martin Møller & Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2021. "Why does risk matter more in recessions than in expansions?," Bank of Finland Research Discussion Papers 13/2021, Bank of Finland.
  • Martin M. Andreasen & Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2021. "Why Does Risk Matter More in Recessions than in Expansions?," Economics Working Papers 2021-12, Department of Economics and Business Economics, Aarhus University.
  • Martin M. Andreasen & Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2021. "Why does risk matter more in recessions than in expansions?," CAMA Working Papers 2021-83, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Martin M. Andreasen & Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2021. "Why Does Risk Matter More in Recessions than in Expansions?," CESifo Working Paper Series 9328, CESifo.
  • Martin M. Andreasen & Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2021. "Why Does Risk Matter More in Recessions than in Expansions?," Monash Economics Working Papers 2021-11, Monash University, Department of Economics.
  • Martin M. Andreasen & Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2021. "Why Does Risk Matter More in Recessions than in Expansions?," "Marco Fanno" Working Papers 0275, Dipartimento di Scienze Economiche "Marco Fanno".
• Jessie Li, 2021. "The Proximal Bootstrap for Finite-Dimensional Regularized Estimators," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 616-620, May.
• Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 626-630, May.
  • Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," Papers 2102.10443, arXiv.org.
• Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator," Working Papers 2021.21, Fondazione Eni Enrico Mattei.
  • Drago, Carlo, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator," FEEM Working Papers 313282, Fondazione Eni Enrico Mattei (FEEM).
• Tomasz Antczak & Bartosz Skorupa & Mikolaj Szurlej & Rafal Weron & Jacek Zabawa, 2021. "Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design," WORking papers in Management Science (WORMS) WORMS/21/05, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
• Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
• Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
• Touhami Abdelkhalek & Dorothée Boccanfuso, 2021. "Impact des programmes de protection sociale sur la pauvreté multidimensionnelle : nouvelles approches et application au cas du Maroc," Revue d’économie du développement, De Boeck Université, vol. 29(3), pages 5-48.
  • Touhami Abdelkhalek & Dorothee Boccanfuso, 2021. "Impact de programmes de protection sociale sur la pauvrete multidimensionnelle : Nouvelles approches et application au cas du Maroc," Working Papers 5, Africa Institute for Research in Economics and Social Sciences.
• Galichon, Alfred & Henry, Marc, 2013. "Dilation bootstrap," Journal of Econometrics, Elsevier, vol. 177(1), pages 109-115.
  • Alfred Galichon & Marc Henry, 2021. "Dilation bootstrap," Papers 2102.04457, arXiv.org.
• Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 626-630, May.
  • Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," Papers 2102.10443, arXiv.org.
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
  • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
  • Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
• Mayer, Alexander & Wied, Dominik, 2023. "Estimation and inference in factor copula models with exogenous covariates," Journal of Econometrics, Elsevier, vol. 235(2), pages 1500-1521.
  • Alexander Mayer & Dominik Wied, 2021. "Estimation and Inference in Factor Copula Models with Exogenous Covariates," Papers 2107.03366, arXiv.org, revised Dec 2022.
• M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2020. "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series 8695, CESifo.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2021. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Papers 2109.00321, arXiv.org, revised Jan 2022.
  • Pesaran, M. H. & Yang, C. F., 2020. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Cambridge Working Papers in Economics 20102, Faculty of Economics, University of Cambridge.
• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
  • Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
  • Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
• Igor Matyushenko & Serhii Hlibko & Mariana Petrova & Olena Khanova & Maryna Loktionova & Kamila Trofimchenko, 2021. "Assessment of Technological Competitiveness of Ukraine in Terms of Association with the EU," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 148-176.
• Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
  • Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner P. Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Yihao Lin, 2021. "Machine Learning and Oil Price Point and Density Forecasting," Working Papers Series 544, Central Bank of Brazil, Research Department.
• Marco Fruzzetti & Giulio Gariano & Gerardo Palazzo & Antonio Scalia, 2021. "From SMP to PEPP: a further look at the risk endogeneity of the Central Bank," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 11, Bank of Italy, Directorate General for Markets and Payment System.
• Hernán Rincón-Castro & Pedro Rubiano-López & Lisseth Yaya-Garzón & Héctor M. Zárate-Solano, 2021. "Traspaso de la tasa de cambio a la inflación básica en Colombia: un análisis de parámetros cambiantes en el tiempo," Borradores de Economia 1177, Banco de la Republica de Colombia.
• Luis Armando Galvis-Aponte & Jaime Bonet-Morón & Leonardo Bonilla-Mejía & Andrea Otero-Cortés & Gerson Javier Pérez-Valbuena & Christian Posso & Diana Ricciulli-Marín, 2021. "Desigualdades del ingreso en Colombia: ¿cuáles son sus determinantes y cómo se han afectado por la pandemia del Covid-19?," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 101, pages 1-52, December.
• Luis Armando Galvis-Aponte & Jaime Bonet-Morón & Leonardo Bonilla-Mejía & Andrea Otero-Cortés & Gerson Javier Pérez-Valbuena & Christian Posso & Diana Ricciulli-Marín, 2021. "Desigualdades del ingreso en Colombia: ¿cuáles son sus determinantes y cómo se han afectado por la pandemia del Covid-19?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, issue 101, pages 1-53, December.
  • Luis Armando Galvis-Aponte & Jaime Bonet-Morón & Leonardo Bonilla-Mejía & Andrea Otero-Cortés & Gerson Javier Pérez-Valbuena & Christian Posso & Diana Ricciulli-Marín, 2021. "Desigualdades del ingreso en Colombia: ¿cuáles son sus determinantes y cómo se han afectado por la pandemia del Covid-19?," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 101, pages 1-53, December.
• Amandine Tran, 2021. "Statistical Modelization of Overindebtedness," Working papers 807, Banque de France.
• Jonathan Kearns & Mike Major & David Norman, 2021. "How Risky Is Australian Household Debt?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(3), pages 313-330, September.
  • Jonathan Kearns & Mike Major & David Norman, 2020. "How Risky is Australian Household Debt?," RBA Research Discussion Papers rdp2020-05, Reserve Bank of Australia.
• Emanuel Kohlscheen & Jouchi Nakajima, 2021. "Steady‐state growth," International Finance, Wiley Blackwell, vol. 24(1), pages 40-52, April.
  • Emanuel Kohlscheen & Jouchi Nakajima, 2019. "Steady-state growth," BIS Working Papers 812, Bank for International Settlements.
• Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
  • Paulo M.D.C. Parente & Richard J. Smith, 2018. "Quasi-Maximum Likelihood and the Kernel Block Bootstrap for Nonlinear Dynamic Models," Working Papers REM 2018/59, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  • Paulo Parente & Richard J. Smith, 2019. "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers CWP60/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  • Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
  • James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
• Alexeev Vitali & Ignatieva Katja & Liyanage Thusitha, 2021. "Dependence Modelling in Insurance via Copulas with Skewed Generalised Hyperbolic Marginals," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
• Lahiri Kajal & Yang Liu, 2021. "Construction of leading economic index for recession prediction using vine copulas," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(4), pages 193-212, September.
• Donfack Morvan Nongni & Dufays Arnaud, 2021. "Modeling time-varying parameters using artificial neural networks: a GARCH illustration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 311-343, December.
• Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022. "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
  • Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
• Touhami Abdelkhalek & Dorothée Boccanfuso, 2021. "Impact des programmes de protection sociale sur la pauvreté multidimensionnelle : nouvelles approches et application au cas du Maroc," Revue d’économie du développement, De Boeck Université, vol. 29(3), pages 5-48.
  • Touhami Abdelkhalek & Dorothee Boccanfuso, 2021. "Impact de programmes de protection sociale sur la pauvrete multidimensionnelle : Nouvelles approches et application au cas du Maroc," Working Papers 5, Africa Institute for Research in Economics and Social Sciences.
• Jiarui Tian, 2021. "A Replication of “The effect of the conservation reserve program on rural economies: Deriving a statistical verdict from a null finding” (American Journal of Agricultural Economics, 2019)," Working Papers in Economics 21/12, University of Canterbury, Department of Economics and Finance.
• Yuechen Dai & Tonghui Xu, 2021. "A Lifecycle Approach to Insurance Solvency," Working Papers in Economics 21/13, University of Canterbury, Department of Economics and Finance.
• Luis Armando Galvis-Aponte & Jaime Bonet-Morón & Leonardo Bonilla-Mejía & Andrea Otero-Cortés & Gerson Javier Pérez-Valbuena & Christian Posso & Diana Ricciulli-Marín, 2021. "Desigualdades del ingreso en Colombia: ¿cuáles son sus determinantes y cómo se han afectado por la pandemia del Covid-19?," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 101, pages 1-53, December.
  • Luis Armando Galvis-Aponte & Jaime Bonet-Morón & Leonardo Bonilla-Mejía & Andrea Otero-Cortés & Gerson Javier Pérez-Valbuena & Christian Posso & Diana Ricciulli-Marín, 2021. "Desigualdades del ingreso en Colombia: ¿cuáles son sus determinantes y cómo se han afectado por la pandemia del Covid-19?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, issue 101, pages 1-53, December.
• Fafchamps, Marcel & Hess, Simon, 2021. "Altruism and the Topology of Transfer Networks," CEPR Discussion Papers 16561, C.E.P.R. Discussion Papers.
• Mirta VUOTTO & Alfonso ESTRAGÓ, 2021. "About Statistics on Cooperatives in Argentina," CIRIEC Working Papers 2108, CIRIEC - Université de Liège.
• Zied Akrout & Hamid Bachouch & Salim Moualdi, 2021. "Co-integration between Corruption and Economic Growth through Investment Channels: Empirical Evidence using the ARDL Bound Testing Approach for the Tunisian Case," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 26-33.
• Sana Zidi & Boutheina Regaieg & Nessrine Hamzaoui, 2021. "The Determinants of the European Banking Crisis," International Journal of Economics and Financial Issues, Econjournals, vol. 11(4), pages 115-122.
• Faten Al-Jabsheh & Sulayman Al-Qudsi & Mohammed A. Hajeeh, 2021. "Investment and Sustainable Economic Growth: Empirical Perspective on Kuwait’s Dual Challenge During the COVID-19 Pandemic and Beyond," International Journal of Economics and Financial Issues, Econjournals, vol. 11(4), pages 41-52.
• Tarek Bouazizi & Mongi Lassoued & Zouhaier Hadhek, 2021. "Oil Price Volatility Models during Coronavirus Crisis: Testing with Appropriate Models Using Further Univariate GARCH and Monte Carlo Simulation Models," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 281-292.
• Mohammed Kharbach & Adnan Belakhdar & Tarik Chfadi, 2021. "A Growth Curve Model for CO2 Emissions in G19 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 365-368.
• Sameh Asim Ajlouni & Moh'd Taleb Alodat, 2021. "Gaussian Process Regression for Forecasting Gasoline Prices in Jordan," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 502-509.
• Gangopadhyay, Kausik & Mondal, Debasis, 2021. "Productivity, relative sectoral prices, and total factor productivity: Theory and evidence," Economic Modelling, Elsevier, vol. 100(C).
• Lagomarsino, Elena, 2021. "Which nesting structure for the CES? A new selection approach based on input separability," Economic Modelling, Elsevier, vol. 102(C).
• Mnasri, Ayman & Nechi, Salem, 2021. "New nonlinear estimators of the gravity equation," Economic Modelling, Elsevier, vol. 95(C), pages 192-202.
• Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
• Wei, Lili & Zhang, Chunli & Su, Jen-Je & Yang, Lixiong, 2021. "Panel threshold spatial Durbin models with individual fixed effects," Economics Letters, Elsevier, vol. 201(C).
• Kiviet, Jan F. & Kripfganz, Sebastian, 2021. "Instrument approval by the Sargan test and its consequences for coefficient estimation," Economics Letters, Elsevier, vol. 205(C).
• Donayre, Luiggi & Panovska, Irina, 2021. "Recession-specific recoveries: L’s, U’s and everything in between," Economics Letters, Elsevier, vol. 209(C).
• Juodis, Artūras & Karabiyik, Hande & Westerlund, Joakim, 2021. "On the robustness of the pooled CCE estimator," Journal of Econometrics, Elsevier, vol. 220(2), pages 325-348.
• Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
  • Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2018. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," ISER Discussion Paper 1019r, Institute of Social and Economic Research, Osaka University, revised Apr 2019.
  • Milda Norkute & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2019. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," Monash Econometrics and Business Statistics Working Papers 32/19, Monash University, Department of Econometrics and Business Statistics.
• Khalaf, Lynda & Kichian, Maral & Saunders, Charles J. & Voia, Marcel, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Journal of Econometrics, Elsevier, vol. 220(2), pages 589-605.
  • Lynda Khalaf & Maral Kichian & Charles Saunders & Marcel Voia, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Post-Print hal-03528880, HAL.
• Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
  • Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
• Hong, Han & Li, Huiyu & Li, Jessie, 2021. "BLP estimation using Laplace transformation and overlapping simulation draws," Journal of Econometrics, Elsevier, vol. 222(1), pages 56-72.
• Ahsan, Md. Nazmul & Dufour, Jean-Marie, 2021. "Simple estimators and inference for higher-order stochastic volatility models," Journal of Econometrics, Elsevier, vol. 224(1), pages 181-197.
• Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 18-25/R, Federal Reserve Bank of Philadelphia.
  • Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 2018-13, FEDEA.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
• Arsova, Antonia & Karaman Örsal, Deniz Dilan, 2021. "A panel cointegrating rank test with structural breaks and cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 17(C), pages 107-129.
  • Karaman Örsal, Deniz Dilan & Arsova, Antonia, 2016. "A panel cointegration rank test with structural breaks and cross-sectional dependence," VfS Annual Conference 2016 (Augsburg): Demographic Change 145822, Verein für Socialpolitik / German Economic Association.
• Hecq, Alain & Voisin, Elisa, 2021. "Forecasting bubbles with mixed causal-noncausal autoregressive models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 29-45.
  • Voisin, Elisa & Hecq, Alain, 2019. "Forecasting bubbles with mixed causal-noncausal autoregressive models," MPRA Paper 92734, University Library of Munich, Germany.
• Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2021. "Family ties and child obesity in Italy," Economics & Human Biology, Elsevier, vol. 40(C).
  • Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.
• Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2021. "Option pricing with conditional GARCH models," European Journal of Operational Research, Elsevier, vol. 289(1), pages 350-363.
• Kontosakos, Vasileios E. & Mendonca, Keegan & Pantelous, Athanasios A. & Zuev, Konstantin M., 2021. "Pricing discretely-monitored double barrier options with small probabilities of execution," European Journal of Operational Research, Elsevier, vol. 290(1), pages 313-330.
• Cheng, Tingting & Yan, Cheng & Yan, Yayi, 2021. "Improved inference for fund alphas using high-dimensional cross-sectional tests," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 57-81.
• Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
  • Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner P. Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Yihao Lin, 2021. "Machine Learning and Oil Price Point and Density Forecasting," Working Papers Series 544, Central Bank of Brazil, Research Department.
• Smith, Simon C., 2021. "International stock return predictability," International Review of Financial Analysis, Elsevier, vol. 78(C).
• Chen, Wen & Minney, Aaron & Toscas, Peter & Koo, Bonsoo & Zhu, Zili & Pantelous, Athanasios A., 2021. "Personalised drawdown strategies and partial annuitisation to mitigate longevity risk," Finance Research Letters, Elsevier, vol. 39(C).
• Song, Lingfeng & Zhang, Yinsainan, 2021. "Banking network structure and transnational systemic risk contagion—The case of the European Union," Finance Research Letters, Elsevier, vol. 39(C).
• Alfonsi, Aurélien & Cherchali, Adel & Infante Acevedo, Jose Arturo, 2021. "Multilevel Monte-Carlo for computing the SCR with the standard formula and other stress tests," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 234-260.
• Makam, Vaishno Devi & Millossovich, Pietro & Tsanakas, Andreas, 2021. "Sensitivity analysis with χ2-divergences," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 372-383.
• Kirkby, J. Lars & Nguyen, Duy, 2021. "Equity-linked Guaranteed Minimum Death Benefits with dollar cost averaging," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 408-428.
• Brignone, Riccardo & Kyriakou, Ioannis & Fusai, Gianluca, 2021. "Moment-matching approximations for stochastic sums in non-Gaussian Ornstein–Uhlenbeck models," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 232-247.
• Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
• Mazza, Paolo & Wang, Shiyu, 2021. "Corporate legal insider trading in China: Performance and determinants," International Review of Law and Economics, Elsevier, vol. 68(C).
• Ohno, Taro & Sakamaki, Junpei & Kojima, Daizo & Imahori, Tomotsugu, 2021. "Effects of deductions on the tax burden reduction and the redistribution of the income and resident taxes," Japan and the World Economy, Elsevier, vol. 60(C).
• Hagströmer, Björn, 2021. "Bias in the effective bid-ask spread," Journal of Financial Economics, Elsevier, vol. 142(1), pages 314-337.
• Alperovych, Yan & Cumming, Douglas & Czellar, Veronika & Groh, Alexander, 2021. "M&A rumors about unlisted firms," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1324-1339.
• Rubio, Jeniffer & Pérez, Bryan & Arroyo, John, 2021. "Risk monitoring in Ecuador's payment system: Implementation of a network topology study," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
• Lian, Yu-Min & Chen, Jun-Home & Liao, Szu-Lang, 2021. "Cojump risks and their impacts on option pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 399-410.
• Abanto-Valle, Carlos A. & Rodríguez, Gabriel & Garrafa-Aragón, Hernán B., 2021. "Stochastic Volatility in Mean: Empirical evidence from Latin-American stock markets using Hamiltonian Monte Carlo and Riemann Manifold HMC methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 272-286.
• Gerth, Florian & Temnov, Grigory, 2021. "New Ways of Modeling Loan-to-Income Distributions and their Evolution in Time - A Probability Copula Approach," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 217-236.
• Lian, Yu-Min & Chen, Jun-Home, 2021. "Pricing virtual currency-linked derivatives with time-inhomogeneity," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 424-439.
• Abakah, Emmanuel Joel Aikins & Caporale, Guglielmo Maria & Gil-Alana, Luis Alberiko, 2021. "Economic policy uncertainty: Persistence and cross-country linkages," Research in International Business and Finance, Elsevier, vol. 58(C).
  • Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
• Cristina Arancibia & Franklin Macas, 2021. "Política social y reactivación económica ante el COVID-19: Bolivia y su apuesta por los bonos," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, vol. 4(1), pages 111-134, Junio.
• Fawzia Mohammed Idris & Mehdi Seraj & Huseyin Ozdeser, 2021. "Assessing the possibility of financing social health insurance from zakat, case of Sudan: ARDL bounds approach," Journal of Islamic Accounting and Business Research, Emerald Group Publishing Limited, vol. 13(2), pages 264-276, October.
• Zoumpoulidis Vassilios, 2021. "The Relationship between Taxation Levels and Economic Growth in Greece: Comparison with Selected Countries," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 321-343.
• Christian Niemeier & Richard Pospisil, 2021. "The Effects of User Tracking and Behavioral Management on Online Prices: A Theoretical Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 386-398.
• Malgorzata Michalcewicz-Kaniowska & Bartosz Mickiewicz & Anna Murawska & Monika Odlanicka-Poczobutt & Małgorzata Zajdel, 2021. "The Gender Polarization of Education and Employment in the European Union Countries (in 2005-2019): Practical Implications," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 787-809.
• Agnieszka Surowiec & Tomasz Warowny, 2021. "Covid-19 Death Risk Estimation Using VaR Method," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 368-379.
• Antonio López Velarde Loera & José Antonio Núñez Mora & M. Beatriz Mota Aragón, 2021. "Modelling Crude Oil and Refined Petroleum Product Spreads: An Alternative Tool for Risk Quantification," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 54(1), pages 109-136, Enero-Jun.
• Blazej Kochanski, 2021. "A Simulation Model for Risk and Pricing Competition in the Retail Lending Market," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(2), pages 96-118, October.
• Petr Jansky & Natalia Li, 2021. "Improving the Corruption Perceptions Index: Additional Data Sources and Their Effects," Working Papers IES 2021/16, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2021.
• Casoli, Chiara & Lucchetti, Riccardo (Jack), 2021. "Permanent-Transitory decomposition of cointegrated time series via Dynamic Factor Models, with an application to commodity prices," FEEM Working Papers 312367, Fondazione Eni Enrico Mattei (FEEM).
  • Davide Bazzana & Francesco Menoncin & Sergio Vergalli, 2021. "The day after tomorrow: mitigation and adaptation policies to deal with uncertainty," Working Papers 2021.22, Fondazione Eni Enrico Mattei.
• Drago, Carlo, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator," FEEM Working Papers 313282, Fondazione Eni Enrico Mattei (FEEM).
  • Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator," Working Papers 2021.21, Fondazione Eni Enrico Mattei.
• Marcin Hitczenko, 2021. "Improved Estimation of Poisson Rate Distributions through a Multi-Mode Survey Design," FRB Atlanta Working Paper 2021-10, Federal Reserve Bank of Atlanta.
• Pallavi Basu & Luella Fu & Alessio Saretto & Wenguang Sun, 2021. "Empirical Bayes Control of the False Discovery Exceedance," Working Papers 2115, Federal Reserve Bank of Dallas.
• Thomas R. Cook & Greg Gupton & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
  • Siddhartha Chib & Minchul Shin & Fei Tan, 2021. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Working Papers 21-02, Federal Reserve Bank of Philadelphia.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-28, January.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 10, pages 1-29, October.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 11, pages 1-27, November.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 12, pages 1-29, December.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 2, pages 1-28, February.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-28, March.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-28, March.
• Turuntseva Marina & Astafieva Ekaterina & Bozhechkova Alexandra & Baeva Marina & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-28, April.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-29, April.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-29, May.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-28, June.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-27, July.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 8, pages 1-29, August.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2021. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-28, September.
• Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
  • Drago, Carlo, 2020. "The Analysis and the Measurement of Poverty: An Interval Based Composite Indicator Approach," MPRA Paper 104462, University Library of Munich, Germany.
  • Drago, Carlo, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," MPRA Paper 109307, University Library of Munich, Germany.
• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
  • Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
  • Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Khalaf, Lynda & Kichian, Maral & Saunders, Charles J. & Voia, Marcel, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Journal of Econometrics, Elsevier, vol. 220(2), pages 589-605.
  • Lynda Khalaf & Maral Kichian & Charles Saunders & Marcel Voia, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Post-Print hal-03528880, HAL.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
• Bodnar, Olha & Bodnar, Taras, 2021. "Objective Bayesian meta-analysis based on generalized multivariate random effects model," Working Papers 2021:5, Örebro University, School of Business.
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
  • Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
  • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
• Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
• David Conaly Martínez Vázquez & Christian Bucio Pacheco & Alejandra Cabello Rosales, 2021. "Proyección Markoviana para 2020 y 2021 de las Calificaciones Corporativas en México," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-21, Enero - M.
• Carlos Cristian De la Rosa Flores & Ana Isabel Ordóñez Parada & Cristina Cabrera Ramos & Viviana Berroterán Martínez, 2021. "Estadística multivariada aplicada a la clasificación de empresas que cotizan en la Bolsa Mexicana de Valores," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-23, Enero - M.
• David Conaly Martínez Vázquez & Christian Bucio Pacheco & Alejandra Cabello Rosales, 2021. "Proyección Markoviana para 2020 y 2021 de las Calificaciones Corporativas en México," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-21, Enero - M.
• Carlos Cristian De la Rosa Flores & Ana Isabel Ordóñez Parada & Cristina Cabrera Ramos & Viviana Berroterán Martínez, 2021. "Estadística multivariada aplicada a la clasificación de empresas que cotizan en la Bolsa Mexicana de Valores," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-23, Enero - M.
• Guillermo Benavides, 2021. "Asymmetric Volatility Relevance in Risk Management: An Empirical Analysis using Stock Index Futures," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-18, Septiembr.
• Hai-Anh H. Dang & Paolo Verme, 2023. "Estimating poverty for refugees in data-scarce contexts: an application of cross-survey imputation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 653-679, April.
  • Hai-Anh Dang & Paolo Verme, 2021. "Estimating Poverty for Refugees in Data-scarce Contexts: An Application of Cross-Survey Imputation," Working Papers 578, ECINEQ, Society for the Study of Economic Inequality.
• Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
  • Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
• Rodriguez Castelan,Carlos & Araar,Abdelkrim & Malasquez Carbonel,Eduardo Alonso & Olivieri,Sergio Daniel & Vishwanath,Tara, 2019. "Distributional Effects of Competition : A Simulation Approach," Policy Research Working Paper Series 8838, The World Bank.
  • Rodriguez Castelan, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Olivieri, Sergio & Vishwanath, Tara, 2021. "Distributional Effects of Competition: A Simulation Approach," IZA Discussion Papers 14043, Institute of Labor Economics (IZA).
• Rodríguez-Castelán, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Granguillhome Ochoa, Rogelio, 2022. "Competition reform and household welfare: A microsimulation analysis of the telecommunication sector in Ethiopia," Telecommunications Policy, Elsevier, vol. 46(2).
  • Rodriguez Castelan,Carlos & Malasquez Carbonel,Eduardo Alonso & Granguillhome Ochoa,Rogelio & Araar,Abdelkrim, 2021. "Competition Reform and Household Welfare : A Microsimulation Analysis of the Telecommunication Sector in Ethiopia," Policy Research Working Paper Series 9516, The World Bank.
  • Rodriguez Castelan, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Ochoa, Rogelio Granguillhome, 2021. "Competition Reform and Household Welfare: A Microsimulation Analysis of the Telecommunication Sector in Ethiopia," IZA Discussion Papers 14044, Institute of Labor Economics (IZA).
• Kseniya Abanokova & Hai-Anh H. Dang, 2023. "Poverty in Russia: a bird’s-eye view of trends and dynamics in the past quarter of a century," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 58, pages 627-635, Edward Elgar Publishing.
  • Abanokova, Kseniya & Dang, Hai-Anh H., 2021. "Poverty in Russia: A Bird's-Eye View of Trends and Dynamics in the Past Quarter of Century," GLO Discussion Paper Series 880, Global Labor Organization (GLO).
  • Abanokova, Kseniya & Dang, Hai-Anh, 2021. "Poverty in Russia: A Bird's-Eye View of Trends and Dynamics in the past Quarter of Century," IZA Discussion Papers 14544, Institute of Labor Economics (IZA).
• Theresa Beltramo & Hai-Anh H. Dang & Ibrahima Sarr & Paolo Verme, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," Working Papers 536, ECINEQ, Society for the Study of Economic Inequality.
  • Beltramo, Theresa & Dang, Hai-Anh & Sarr, Ibrahima & Verme, Paolo, 2021. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," IZA Discussion Papers 14606, Institute of Labor Economics (IZA).
  • Beltramo, Theresa & Dang, Hai-Anh H. & Sarr, Ibrahima & Verme, Paolo, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," GLO Discussion Paper Series 538, Global Labor Organization (GLO).
  • Beltram,Theresa & Dang,Hai-Anh H. & Sarr,Ibrahima-000535387 & Verme,Paolo, 2020. "Estimating Poverty among Refugee Populations : A Cross-Survey Imputation Exercise for Chad," Policy Research Working Paper Series 9222, The World Bank.
• Dang, Hai-Anh H. & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," GLO Discussion Paper Series 904, Global Labor Organization (GLO).
  • Dang, Hai-Anh & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).
• Giovanni Bernardo & Irene Brunetti & Mehmet Pinar & Thanasis Stengos, 2021. "Measuring the presence of organized crime across Italian provinces: a sensitivity analysis," European Journal of Law and Economics, Springer, vol. 51(1), pages 31-95, February.
• A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
• Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
  • Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
  • Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
  • Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
• Stefano Boscolo & Giovanni Gallo, 2021. "The Struggle of Being Poor and Claimant: Evidence on the Non-Take-Up of Social Policies in Italy," Center for the Analysis of Public Policies (CAPP) 0174, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
• Andrew Y. Chen & Fabian Winkler & Rebecca Wasyk, 2021. "In Full-Information Estimates, Long-Run Risks Explain at Most a Quarter of P/D Variance, and Habit Explains Even Less," Critical Finance Review, now publishers, vol. 10(3), pages 329-381, August.
• Claus Puhr & Martin Schneider, 2021. "Have mitigating measures helped prevent insolvencies in Austria amid the COVID-19 pandemic?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 20/Q4-21/, pages 77-110.
• Claus Puhr & Martin Schneider, 2021. "Have mitigating measures helped prevent insolvencies in Austria amid the COVID-19 pandemic?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20-Q1/, pages 77-110.
• Karsten Schweikert, 2021. "Bootstrap Confidence Intervals and Hypothesis Testing for Market Information Shares [Price Discovery and Common Factor Models]," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 19(5), pages 934-959.
• Mary Tian, 2021. "Firm Characteristics and Empirical Factor Models: A Model Mining Experiment [Beta matrix and common factors in stock returns]," Review of Financial Studies, Society for Financial Studies, vol. 34(12), pages 6087-6125.
• Simon C Smith & Allan Timmermann & Stijn Van Nieuwerburgh, 2021. "Break Risk [Maximum likelihood estimation of the equity premium]," Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 2045-2100.
• Ilie Margareta & Ilie Constantin, 2021. "Management Based on Data Analysis. Part One. Data Visualization Analysis," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 749-757, December.
• Pesce, Gabriela & Milanesi, Gastón & El Alabi, Emilio & Menna, Joaquín, 2021. "Valoración de un seguro de vida mediante opciones exóticas || Life insurance valuation using exotic options," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 214-240, December.
• Jesús Mur, 2021. "A Simple Test of Spatial Autocorrelation for Centered Variables," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 44(87), pages 41-55.
• Carlos A. Abanto-Valle & Gabriel Rodríguez & Luis M. Castro Cepero & Hernán B. Garrafa-Aragón, 2021. "Approximate Bayesian Estimation of Stochastic Volatility in Mean Models using Hidden Markov Models: Empirical Evidence from Stock Latin American Markets," Documentos de Trabajo / Working Papers 2021-502, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Jackson, Emerson Abraham & Tamuke, Edmund, 2021. "The Science and Art of Communicating Fan Chart Uncertainty: The case of Inflation Outcome in Sierra Leone," MPRA Paper 105892, University Library of Munich, Germany, revised 05 Jan 2021.
• Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
• BENSALMA, Ahmed, 2021. "Fractional Dickey-Fuller test with or without prehistorical influence," MPRA Paper 107408, University Library of Munich, Germany.
• Sandoval Paucar, Giovanny, 2021. "A Conditional Correlation Analysis For The Colombian Stock Market," MPRA Paper 107963, University Library of Munich, Germany.
• Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
  • Drago, Carlo, 2020. "The Analysis and the Measurement of Poverty: An Interval Based Composite Indicator Approach," MPRA Paper 104462, University Library of Munich, Germany.
  • Drago, Carlo, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," MPRA Paper 109307, University Library of Munich, Germany.
• Vîntu, Denis, 2021. "Fiscal Reform in the Republic of Moldova. Stochastic Dynamic General Equilibrium (SDGE) simulation," MPRA Paper 110113, University Library of Munich, Germany, revised 03 May 2021.
• Pihnastyi, Oleh & Khodusov, Valery & Kozhevnikov, Georgii & Bondarenko, Tetiana, 2021. "Analysis of dynamic mechanic belt stresses of the magistral conveyor," MPRA Paper 110216, University Library of Munich, Germany, revised 05 Feb 2021.
• Nahmadova, Firuza, 2021. "Azerbaijan's integration in the BRI Middle Corridor: Is WTO accession needed," MPRA Paper 110331, University Library of Munich, Germany.
• Asaduzzaman, Md, 2021. "Relationship between threshold level of inflation and economic growth in Bangladesh- a multivariate quadratic regression analysis," MPRA Paper 110333, University Library of Munich, Germany, revised 02 Feb 2021.
• Pihnastyi, Oleh & Ivanovska, Olha, 2021. "Using a two-level dynamic PDE model to synchronize the performance of technological equipment of a production line," MPRA Paper 111138, University Library of Munich, Germany, revised Sep 2021.
• Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
  • Korobilis, Dimitris & Shimizu, Kenichi, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," MPRA Paper 111631, University Library of Munich, Germany.
  • Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Paper series 22-02, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers 2112.11751, arXiv.org.
• Pihnastyi, Oleh & Chernіavska, Svіtlana, 2021. "Using the asymptotic approximation of the maxwell element model for the analysis of stress in a conveyor belt," MPRA Paper 111831, University Library of Munich, Germany, revised 22 Dec 2021.
• Morales-Oñate, Víctor & Morales-Oñate, Bolívar, 2021. "MTest: a bootstrap test for multicollinearity," MPRA Paper 112332, University Library of Munich, Germany.
• G.K., Chetan Kumar & K.B., Rangappa & S., Suchitra, 2021. "Analyzing Interlinkages between Financial and Real Estate Sector in the aftermath of COVID-19's Second wave: An Econometric Approach using VECM model," MPRA Paper 112440, University Library of Munich, Germany.
• Bradrania, Reza & Pirayesh Neghab, Davood, 2021. "State-dependent asset allocation using neural networks," MPRA Paper 115254, University Library of Munich, Germany.
• Abdeljalil Settar & Nadia Idrissi Fatmi & Mohammed Badaoui, 2021. "New Approach in Dealing with the Non-Negativity of the Conditional Variance in the Estimation of GARCH Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 55-74, March.
• Janusz Jabłonowski, 2021. "MPC out of Augmented Wealth in Poland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(3), pages 253-286, September.
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
  • Matthew D. Webb & James MacKinnon & Morten Nielsen, 2021. "Cluster–robust inference: A guide to empirical practice," Economics Virtual Symposium 2021 6, Stata Users Group.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
  • James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
• MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
  • James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
• Jesús Otero & Theodore Panagiotidis & Georgios Papapanagiotou, 2021. "Testing for exuberance in house prices using data sampled at different frequencies," Working Paper series 21-13, Rimini Centre for Economic Analysis.
• Karen Poghosyan & Ruben Poghosyan, 2021. "On the Applicability of Dynamic Factor Models for Forecasting Real GDP Growth in Armenia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(1), pages 52-79, June.
  • Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
• Dimitriadou, Athanasia & Agrapetidou, Anna & Gogas, Periklis & Papadimitriou, Theophilos, 2021. "Credit Rating Agencies: Evolution or Extinction?," DUTH Research Papers in Economics 9-2021, Democritus University of Thrace, Department of Economics.
• Lee, Hojin, 2021. "A Study on Dynamic Asset Allocation Strategy for Optimal Portfolio Selection," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 25(3), pages 310-336, September.
• Anvari, Ebrahim & Farazmand, Hassan & Ahmadi, Atefe, 2021. "Application of Marshallian Cluster Model in Identifying and Creating Industrial Clusters in Bushehr Province," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 8(3), pages 55-84, December.
• Shi, Shuping & Yu, Jun, 2021. "Different Strokes for Different Folks: Long Memory and Roughness," Economics and Statistics Working Papers 7-2021, Singapore Management University, School of Economics.
• Fatemeh SALIMIANRAD & Vali BORIMNEJAD & Sahar DEHYUORI, 2021. "Investigating the Relationship between Natural Capital and Sustainable Economic Growth using the General Equilibrium Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 120-139, June.
• George Daniel Mateescu, 2021. "Simulation of the Covid-19 pandemic data series," Working Papers of Institute for Economic Forecasting 210925, Institute for Economic Forecasting.
• Alessia Naccarato & Andrea Pierini & Giovanna Ferraro, 2021. "Markowitz portfolio optimization through pairs trading cointegrated strategy in long-term investment," Annals of Operations Research, Springer, vol. 299(1), pages 81-99, April.
• Daniel Jacob, 2021. "CATE meets ML," Digital Finance, Springer, vol. 3(2), pages 99-148, June.
• Yushu Li & Fredrik N. G. Andersson, 2021. "A simple wavelet-based test for serial correlation in panel data models," Empirical Economics, Springer, vol. 60(5), pages 2351-2363, May.
  • Li, Yushu & Andersson, Fredrik N. G., 2013. "A Simple Wavelet-Based Test for Serial Correlation in Panel Data Models," Working Papers 2013:39, Lund University, Department of Economics.
  • Li, Yushu & Andersson, Fredrik N. G., 2014. "A simple wavelet-based test for serial correlation in panel data models," Discussion Papers 2014/11, Norwegian School of Economics, Department of Business and Management Science.
• Zhanshou Chen & Yanting Xiao & Fuxiao Li, 2021. "Monitoring memory parameter change-points in long-memory time series," Empirical Economics, Springer, vol. 60(5), pages 2365-2389, May.
• Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
  • Monschang, Verena & Wilfling, Bernd, 2019. "Sup-ADF-style bubble detection methods under test," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203568, Verein für Socialpolitik / German Economic Association.
  • Verena Monschang & Bernd Wilfling, 2019. "Sup-ADF-style bubble-detection methods under test," CQE Working Papers 7819, Center for Quantitative Economics (CQE), University of Muenster.
• Yongchen Zhao, 2021. "The robustness of forecast combination in unstable environments: a Monte Carlo study of advanced algorithms," Empirical Economics, Springer, vol. 61(1), pages 173-199, July.
• Ngo Thai Hung, 2021. "Financial connectedness of GCC emerging stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 753-773, December.
• Xun Zhang & Fengbin Lu & Rui Tao & Shouyang Wang, 2021. "The time-varying causal relationship between the Bitcoin market and internet attention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
• Benjamin Cabrera & Björn Ross & Daniel Röchert & Felix Brünker & Stefan Stieglitz, 2021. "The influence of community structure on opinion expression: an agent-based model," Journal of Business Economics, Springer, vol. 91(9), pages 1331-1355, November.
• Aldin Ardian & Mustafa Kumral, 2021. "Enhancing mine risk assessment through more accurate reproduction of correlations and interactions between uncertain variables," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(3), pages 411-425, October.
• Ousmane Traoré, 2021. "The relationship between health poverty and income poverty in Sub-Saharan African countries: evidence from index correlations," SN Business & Economics, Springer, vol. 1(10), pages 1-19, October.
• W. A. Razzak, 2021. "Measuring the effect of negative interest rate on New Zealand banks," SN Business & Economics, Springer, vol. 1(3), pages 1-23, March.
  • Weshah Razzak, 2020. "Measuring the Effect of Negative Interest Rate on New Zealand Banks," Discussion Papers 2008, School of Economics and Finance, Massey University, New Zealand.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
• Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," Working Papers hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," LEM Papers Series 2021/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," SciencePo Working papers Main halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International Trade And Technological Competition In Markets With Dynamic Increasing Returns," Working Papers halshs-03509092, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main hal-03370650, HAL.
  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
• Demosthenes Tambakis, 2021. "A Markov chain measure of systemic banking crisis frequency," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1351-1356, September.
  • Tambakis, D., 2020. "A Markov-Chain Measure of Systemic Banking Crisis Frequency," Cambridge Working Papers in Economics 2083, Faculty of Economics, University of Cambridge.
• Luis A. Gil-Alana & OlaOluwa S. Yaya, 2021. "Testing fractional unit roots with non-linear smooth break approximations using Fourier functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(13-15), pages 2542-2559, November.
  • Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "Testing Fractional Unit Roots with Non-linear Smooth Break Approximations using Fourier functions," MPRA Paper 90516, University Library of Munich, Germany.
• Haroon Mumtaz & Alberto Musso, 2021. "The Evolving Impact of Global, Region-Specific, and Country-Specific Uncertainty," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 466-481, March.
  • Mumtaz, Haroon & Musso, Alberto, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Paper Series 2147, European Central Bank.
  • Haroon Mumtaz & Alberto Musso, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Papers 866, Queen Mary University of London, School of Economics and Finance.
• James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
  • James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2020. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Working Paper series 20-27, Rimini Centre for Economic Analysis.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
• Marina Friedrich & Yicong Lin & Pavitram Ramdaras & Sean Telg & Bernhard van der Sluis, 2021. "Time-varying effects of housing attributes and economic environment on housing prices," Tinbergen Institute Discussion Papers 23-039/III, Tinbergen Institute.
• Caravello, Tomas E. & Psaradakis, Zacharias & Sola, Martin, 2023. "Rational bubbles: Too many to be true?," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
  • Tomás Caravello & Zacharias Psaradakis & Martín Sola, 2021. "Rational Bubbles: Too Many to be True?," Department of Economics Working Papers 2021_06, Universidad Torcuato Di Tella.
  • Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
• Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
  • Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities," Papers 1612.04932, arXiv.org, revised Dec 2021.
  • Demian Pouzo & Zacharias Psaradakis & Martín Sola, 2021. "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities," Department of Economics Working Papers 2021_07, Universidad Torcuato Di Tella.
• Canepa Alessandra, 2022. "Small Sample Adjustment for Hypotheses Testing on Cointegrating Vectors," Journal of Time Series Econometrics, De Gruyter, vol. 14(1), pages 51-85, January.
  • Canepa, Alessandra, 2021. "Small Sample Adjustment for Hypotheses Testing on Cointegrating Vectors," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202108, University of Turin.
• Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020. "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers 2012.14693, arXiv.org.
  • Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021. "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers 2021:03, Department of Economics, University of Venice "Ca' Foscari".
• Ylenia Brilli, 2022. "Mother’s Time Allocation, Childcare, and Child Cognitive Development," Journal of Human Capital, University of Chicago Press, vol. 16(2), pages 233-272.
  • Brilli, Ylenia, 2015. "Mother's Time Allocation, Child Care and Child Cognitive Development," Economics Working Papers MWP2015/03, European University Institute.
  • Ylenia Brilli, 2021. "Mother's time allocation, child care and child cognitive development," Working Papers 2021: 30, Department of Economics, University of Venice "Ca' Foscari".
  • Brilli, Ylenia, 2017. "Mother’s Time Allocation, Child Care and Child Cognitive Development," Working Papers in Economics 695, University of Gothenburg, Department of Economics.
  • Ylenia Brilli, 2017. "Mother's Time Allocation, Child Care and Child Cognitive Development," CHILD Working Papers Series 59 JEL Classification: D1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
• Akkal Fatima & Kadiri Nadia & Rabhi Abbes, 2021. "Asymptotic Normality of Conditional Density and Conditional Mode in the Functional Single Index Model," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(1), pages 1-24, March.
• Stachurski Tomasz, 2021. "Small area quantile estimation based on distribution function using linear mixed models," Economics and Business Review, Sciendo, vol. 7(2), pages 97-114, June.
• Dzicher Mateusz, 2021. "Sampling methods for investment portfolio formulation procedure at increased market volatility," Journal of Economics and Management, Sciendo, vol. 43(1), pages 70-89, January.
• Ghalehteimouri Kamran Jafarpour & Rahimzadeh Azad & Parizadi Taher & Sasanpour Farzaneh, 2021. "Qualitative and Quantitative Analysis of Housing Indices at the Neighborhood Level: Case Study of Region 6 of Tehran Municipality," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 1-15, June.
• Rodríguez-Castelán, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Granguillhome Ochoa, Rogelio, 2022. "Competition reform and household welfare: A microsimulation analysis of the telecommunication sector in Ethiopia," Telecommunications Policy, Elsevier, vol. 46(2).
  • Rodriguez Castelan, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Ochoa, Rogelio Granguillhome, 2021. "Competition Reform and Household Welfare: A Microsimulation Analysis of the Telecommunication Sector in Ethiopia," IZA Discussion Papers 14044, Institute of Labor Economics (IZA).
  • Rodriguez Castelan,Carlos & Malasquez Carbonel,Eduardo Alonso & Granguillhome Ochoa,Rogelio & Araar,Abdelkrim, 2021. "Competition Reform and Household Welfare : A Microsimulation Analysis of the Telecommunication Sector in Ethiopia," Policy Research Working Paper Series 9516, The World Bank.
• Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
  • Dang, Hai-Anh & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," IZA Discussion Papers 15873, Institute of Labor Economics (IZA).
  • Dang, Hai-Anh H. & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," GLO Discussion Paper Series 1226, Global Labor Organization (GLO).
• Thu Pham-Gia, 2021. "The Multivariate Normal Distribution:Theory and Applications," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 12237.
• Pham-Gia Thu, 2021. "Review," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 1, pages 1-10, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "The Univariate Normal Distribution," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 2, pages 11-34, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Limit Theorems," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 3, pages 35-52, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Distributions Derived from the Normal," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 4, pages 53-79, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Applications of the Univariate Normal Distribution," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 5, pages 81-124, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Bayes Approach in Applied Probability," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 6, pages 125-154, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Bivariate and Trivariate Normal Distributions," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 7, pages 155-245, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Probability, Historical Survey, and Discussion," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 8, pages 247-272, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Normal Theory in Rp," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 9, pages 273-310, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Some Applications of the Multivariate Normal Distribution in Science and Engineering," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 10, pages 311-345, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Functions of Matrices and Jacobians of Transformations," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 11, pages 347-376, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Matrix Variate Distributions," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 12, pages 377-398, World Scientific Publishing Co. Pte. Ltd..
• Pham-Gia Thu, 2021. "Complements and Supplementary Information," World Scientific Book Chapters, in: THE MULTIVARIATE NORMAL DISTRIBUTION Theory and Applications, chapter 13, pages 399-435, World Scientific Publishing Co. Pte. Ltd..
• Taining Wang & Feng Yao, 2021. "A Varying Coefficient Model with Two-way Fixed Effects and Different Smoothing Variables," Working Papers 21-01, Department of Economics, West Virginia University.
• Kseniya Abanokova & Hai-Anh H. Dang, 2023. "Poverty in Russia: a bird’s-eye view of trends and dynamics in the past quarter of a century," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 58, pages 627-635, Edward Elgar Publishing.
  • Abanokova, Kseniya & Dang, Hai-Anh, 2021. "Poverty in Russia: A Bird's-Eye View of Trends and Dynamics in the past Quarter of Century," IZA Discussion Papers 14544, Institute of Labor Economics (IZA).
  • Abanokova, Kseniya & Dang, Hai-Anh H., 2021. "Poverty in Russia: A Bird's-Eye View of Trends and Dynamics in the Past Quarter of Century," GLO Discussion Paper Series 880, Global Labor Organization (GLO).
• Dang, Hai-Anh & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," IZA Discussion Papers 14631, Institute of Labor Economics (IZA).
  • Dang, Hai-Anh H. & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," GLO Discussion Paper Series 904, Global Labor Organization (GLO).
• Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  • Ott, Ingrid & Savin, Ivan & Konop, Chris, 2021. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Kiel Working Papers 2180, Kiel Institute for the World Economy (IfW Kiel).

2020

• Michal Vyskoèil, 2020. "Scenario Analysis Approach for Operational Risk in Insurance Companies," ACTA VSFS, University of Finance and Administration, vol. 14(2), pages 153-165.
• Luís Martins, 2020. "Imputation of the Portuguese Household Finance and Consumption Survey," Working Papers o202002, Banco de Portugal, Economics and Research Department.
• MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Testing for the appropriate level of clustering in linear regression models," Working Paper 1428, Economics Department, Queen's University.
  • James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
• Obafemi Philippe Koutchade & Alain Carpentier & Fabienne Femenia, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers hal-02983249, HAL.
  • Obafèmi Philippe Koutchadé & Alain Carpentier & Fabienne Féménia, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers SMART 20-09, INRAE UMR SMART.
  • Koutchadé, Obafèmi Philippe & Carpentier, Alain & Féménia, Fabienne, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers 307209, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
• Jonathan Kearns & Mike Major & David Norman, 2021. "How Risky Is Australian Household Debt?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(3), pages 313-330, September.
  • Jonathan Kearns & Mike Major & David Norman, 2020. "How Risky is Australian Household Debt?," RBA Research Discussion Papers rdp2020-05, Reserve Bank of Australia.
• Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Papers 2020_21, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Paper series 20-09, Rimini Centre for Economic Analysis.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2020. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Working Paper series 20-27, Rimini Centre for Economic Analysis.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
• Dufour, Jean-Marie & Farhat, Abdeljelil & Khalaf, Lynda, 2020. "Tests multiples simulés et tests de normalité basés sur plusieurs moments dans les modèles de régression," L'Actualité Economique, Société Canadienne de Science Economique, vol. 96(4), pages 545-566, Décembre.
  • Dufour, Jean-Marie & Farhat, Abdeljelil & Khalaf, Lynda & Dufour, Jean-Marie, 2004. "Tests multiples simulés et tests de normalité basés sur plusieurs moments dans les modèles de régression," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 501-522, Juin-Sept.
  • DUFOUR, Jean-Marie & FARHAT, Abdeljelil & KHALAF, Lynda, 2005. "Tests multiples simulés et tests de normalité basés sur plusieurs moments dans les modèles de régression," Cahiers de recherche 07-2005, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • DUFOUR, Jean-Marie & FARHAT, Abdekjelik & KHALAF, Lynda, 2005. "Tests multiples simulés et tests de normalité basés sur plusieurs moments dans les modèles de régression," Cahiers de recherche 2005-07, Universite de Montreal, Departement de sciences economiques.
• MacKinnon, James G., 2020. "Wild cluster bootstrap confidence intervals," L'Actualité Economique, Société Canadienne de Science Economique, vol. 96(4), pages 721-743, Décembre.
  • MacKinnon , James G., 2015. "Wild Cluster Bootstrap Confidence Intervals," L'Actualité Economique, Société Canadienne de Science Economique, vol. 91(1-2), pages 11-33, Mars-Juin.
  • James G. MacKinnon, 2014. "Wild Cluster Bootstrap Confidence Intervals," Working Paper 1329, Economics Department, Queen's University.
• Selmi, Refk & Bouoiyour, Jamal & Hammoudeh, Shawkat, 2020. "Common and Country-Specific Uncertainty Fluctuations in Major Oil-Producing Countries: A Comparative Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 35(4), pages 724-750.
• Firmiano, Marilia & Irffi, Guilherme, 2020. "O Desastre Ambiental na Barragem de Fundão em Mariana–MG e seus Efeitos Econômicos e Sociais em Minas Gerais e no Espírito Santo," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 14(3), pages 392-419.
• Liu, Xiaobin & Shi, Shuping & Yu, Jun, 2020. "Persistent and Rough Volatility," Economics and Statistics Working Papers 23-2020, Singapore Management University, School of Economics.
• Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020. "The Time-series Linkages between US Fiscal Policy and Asset Prices," Public Finance Review, , vol. 48(3), pages 303-339, May.
  • Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2015. "The Time-Series Linkages between US Fiscal Policy and Asset Prices," Working Papers 201519, University of Pretoria, Department of Economics.
  • Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2016. "The time-series linkages between US fiscal policy and asset prices," Working papers 2016-15, University of Connecticut, Department of Economics.
• Martínez Vázquez, David Conaly & Bucio Pacheco, Christian & Olivares Aguayo, Héctor Alonso, 2020. "Dependencia en el modelo colectivo de riesgo de una compañía de seguros en México / Dependence in the Collective Risk Model of an Insurance Company in Mexico," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 10(1), pages 5-26, enero-jun.
• Martínez Vázquez, David Conaly & Pérez Avila, Héctor, 2020. "Proyección Markoviana de riesgos hidrometeorológicos para el cálculo actuarial en México al 2020 / Markovian projection of hydrometeorological risks for actuarial calculation in Mexico up to 2020," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 10(2), pages 163-194, julio-dic.
• Klaudia Jarno & £ukasz Smaga, 2020. "The use of the bootstrap method for the assessment of investment effectiveness and risk – the case of confidence intervals estimation for the Sharpe ratio and TailVaR," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(13), pages 40-50, June.
• Kim, Seong Hee & Kim, Byung-Yeon, 2020. "Migration and trust: Evidence from West Germany after unification," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 425-441.
  • Seong Hee Kim & Byung-Yeon Kim, 2020. "Migration And Trust: Evidence From West Germany After Unification," Working Paper Series no139, Institute of Economic Research, Seoul National University.
• Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2020. "Skewness-adjusted bootstrap confidence intervals and confidence bands for impulse response functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 5-32, March.
  • Grabowski, Daniel & Staszewska-Bystrova, Anna, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181590, Verein für Socialpolitik / German Economic Association.
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," Lodz Economics Working Papers 1/2018, University of Lodz, Faculty of Economics and Sociology.
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," MAGKS Papers on Economics 201810, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Tobias Schoch & André Müller, 2020. "Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in Switzerland," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(3), pages 267-304, December.
• Arianna Agosto & Paolo Giudici, 2020. "COVID-19 contagion and digital finance," Digital Finance, Springer, vol. 2(1), pages 159-167, September.
• M. Chudý & S. Karmakar & W. B. Wu, 2020. "Long-term prediction intervals of economic time series," Empirical Economics, Springer, vol. 58(1), pages 191-222, January.
• Kristian Jönsson, 2020. "Real-time US GDP gap properties using Hamilton’s regression-based filter," Empirical Economics, Springer, vol. 59(1), pages 307-314, July.
• Andrés Ramírez-Hassan, 2020. "Dynamic variable selection in dynamic logistic regression: an application to Internet subscription," Empirical Economics, Springer, vol. 59(2), pages 909-932, August.
• Vadim Kufenko, 2020. "Hide-and-Seek with time-series filters: a model-based Monte Carlo study," Empirical Economics, Springer, vol. 59(5), pages 2335-2361, November.
• Marián Vávra, 2020. "Assessing distributional properties of forecast errors for fan-chart modelling," Empirical Economics, Springer, vol. 59(6), pages 2841-2858, December.
  • Marian Vavra, 2018. "Assessing Distributional Properties of Forecast Errors," Working and Discussion Papers WP 3/2018, Research Department, National Bank of Slovakia.
• Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
• James R. Bland, 2020. "Heterogeneous trembles and model selection in the strategy frequency estimation method," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 113-124, December.
• Ricardo Crespo & Ignacio Hernandez, 2020. "On the spatially explicit Gini coefficient: the case study of Chile—a high-income developing country," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 37-47, April.
• Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.
• Charle Augusto Londoño Henao, 2020. "Cost-Efficiency Index of the Development Plan of Medellín, 2015," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 335-367, November.
• Orkideh Gharehgozli, 2020. "A Monte Carlo Analysis of Robustness of the Synthetic Control Method and Dynamic Panel Estimation: A Comparative Case Study of a Policy Intervention," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(1), pages 1-4.
• Alessandro Palandri, 2020. "Size-Dependent Probability Bounds for t-Tests," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(3), pages 1-1.
• Dr. Ä°lker MET & Ayfer ERKOÇ & Himmet AKSOY & Hacer Özge ÖZER, 2020. "Hidden Power of Communication: Understanding Organizational Structure in Bank Branches: Ziraat Bank Example," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(4), pages 1-1.
• Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
  • Edward Knotek & Saeed Zaman, 2020. "Real-time density nowcasts of US inflation: a model-combination approach," Working Papers 2015, University of Strathclyde Business School, Department of Economics.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
• De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2022. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Journal of Econometrics, Elsevier, vol. 230(2), pages 299-317.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with anapplication to WALS estimation," EIEF Working Papers Series 2003, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2020.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Tinbergen Institute Discussion Papers 20-015/III, Tinbergen Institute.
• Damian Clarke & Joseph P. Romano & Michael Wolf, 2020. "The Romano–Wolf multiple-hypothesis correction in Stata," Stata Journal, StataCorp LP, vol. 20(4), pages 812-843, December.
  • Clarke, Damian & Romano, Joseph P. & Wolf, Michael, 2019. "The Romano-Wolf Multiple Hypothesis Correction in Stata," IZA Discussion Papers 12845, Institute of Labor Economics (IZA).
• Daliseth Rojas-Rendón & Lenin Guerra & Marling Rojas Rivas, 2020. "Venezuela’s Development Plans: Analyzing the Design Mechanisms," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 45(49), pages 229-266, january-d.
• Claudia Santiago, 2020. "Impact of the 2008 Financial Crisis on the Main Economies of the World," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 45(49), pages 35-59, january-d.
• Riccardo De Santis & Lucio Barabesi & Gianni Betti, 2020. "Variance estimation techniques for poverty and inequality measures from complex surveys: a simulation study," Department of Economics University of Siena 829, Department of Economics, University of Siena.
• Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2021. "Family ties and child obesity in Italy," Economics & Human Biology, Elsevier, vol. 40(C).
  • Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.
• Ansel Schiavone, 2020. "Essentially Unemployed: Potential Implications of the COVID-19 Crisis on Wage Inequality," Working Paper Series, Department of Economics, University of Utah 2020_06, University of Utah, Department of Economics.
• Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," School of Economics and Public Policy Working Papers 2020-03, University of Adelaide, School of Economics and Public Policy.
  • Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," Economics Discussion / Working Papers 20-06, The University of Western Australia, Department of Economics.
  • Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," CAMA Working Papers 2020-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Hans R. ISAKSON & Mark D. ECKER & Lee KENNEDY, 2020. "Principles For Calculating Avm Performance Metrics," The Valuation Journal, The National Association of Authorized Romanian Valuers, vol. 16(2), pages 38-69.
• Krzciuk Małgorzata K., 2020. "On Empirical Best Linear Unbiased Predictor Under a Linear Mixed Model with Correlated Random Effects," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(2), pages 17-29, June.
• Latoszek Michał & Ślepaczuk Robert, 2020. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Economics and Business Review, Sciendo, vol. 6(1), pages 46-81, March.
  • Michał Latoszek & Robert Ślepaczuk, 2019. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers 2019-14, Faculty of Economic Sciences, University of Warsaw.
• Stec Małgorzata, 2020. "The Influence of the Accuracy of Statistical Data on the Results of a Classification of Eu Countries in Terms of Innovation," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 408-420, June.
• Trzcińska Kamila, 2020. "Analysis of Household Income in Poland Based on the Zenga Distribution and Selected Income Inequality Measure," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 421-436, June.
• Florêncio Lutemberg & de Alencar Claudio Tavares, 2020. "Protected Collateral Value: An Approach to Valuation of Commercial Properties for Loan Guarantees," Real Estate Management and Valuation, Sciendo, vol. 28(3), pages 1-11, September.
• Oleh Bilyk & Paweł Sakowski & Robert Ślepaczuk, 2020. "Investing in VIX futures based on rolling GARCH models forecasts," Working Papers 2020-10, Faculty of Economic Sciences, University of Warsaw.
• Bartłomiej Bollin & Robert Ślepaczuk, 2020. "Variance Gamma Model in Hedging Vanilla and Exotic Options," Working Papers 2020-31, Faculty of Economic Sciences, University of Warsaw.
• Quynh Bui & Robert Ślepaczuk, 2020. "Applying Hurst Exponent in Pair Trading Strategies," Working Papers 2020-39, Faculty of Economic Sciences, University of Warsaw.
• Theresa Beltramo & Hai-Anh H. Dang & Ibrahima Sarr & Paolo Verme, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," Working Papers 536, ECINEQ, Society for the Study of Economic Inequality.
  • Beltramo, Theresa & Dang, Hai-Anh & Sarr, Ibrahima & Verme, Paolo, 2021. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," IZA Discussion Papers 14606, Institute of Labor Economics (IZA).
  • Beltram,Theresa & Dang,Hai-Anh H. & Sarr,Ibrahima-000535387 & Verme,Paolo, 2020. "Estimating Poverty among Refugee Populations : A Cross-Survey Imputation Exercise for Chad," Policy Research Working Paper Series 9222, The World Bank.
  • Beltramo, Theresa & Dang, Hai-Anh H. & Sarr, Ibrahima & Verme, Paolo, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," GLO Discussion Paper Series 538, Global Labor Organization (GLO).
• Dang, Hai-Anh H. & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," GLO Discussion Paper Series 535, Global Labor Organization (GLO).
  • Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.
  • Hai-Anh H. Dang & Peter F. Lanjouw, 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," Working Papers 540, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," IZA Discussion Papers 13215, Institute of Labor Economics (IZA).
• Cathal O'Donoghue & Denisa M. Sologon & Iryna Kyzyma & John McHale, 2020. "Modelling the Distributional Impact of the COVID‐19 Crisis," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 321-336, June.
  • O'Donoghue, Cathal & Sologon, Denisa Maria & Kyzyma, Iryna & McHale, John, 2020. "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers 13235, Institute of Labor Economics (IZA).
• Jia Chen & Yongcheol Shin & Chaowen Zheng, 2020. "Estimation and Inference in Heterogeneous Spatial Panel Data Models with a Multifactor Error Structure," Discussion Papers 20/03, Department of Economics, University of York.
• Lux, Thomas, 2020. "Bayesian estimation of agent-based models via adaptive particle Markov chain Monte Carlo," Economics Working Papers 2020-01, Christian-Albrechts-University of Kiel, Department of Economics.
• Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
• Sallam, Walid & Ahmed, Osama, 2020. "The socio-economic assessment to evaluate the potentiality of developing the rural community in Upper Egypt," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(2), pages 143-165.
• Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.
  • Dang, Hai-Anh H. & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," GLO Discussion Paper Series 535, Global Labor Organization (GLO).
  • Hai-Anh H. Dang & Peter F. Lanjouw, 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," Working Papers 540, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," IZA Discussion Papers 13215, Institute of Labor Economics (IZA).
• Theresa Beltramo & Hai-Anh H. Dang & Ibrahima Sarr & Paolo Verme, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," Working Papers 536, ECINEQ, Society for the Study of Economic Inequality.
  • Beltramo, Theresa & Dang, Hai-Anh & Sarr, Ibrahima & Verme, Paolo, 2021. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," IZA Discussion Papers 14606, Institute of Labor Economics (IZA).
  • Beltramo, Theresa & Dang, Hai-Anh H. & Sarr, Ibrahima & Verme, Paolo, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," GLO Discussion Paper Series 538, Global Labor Organization (GLO).
  • Beltram,Theresa & Dang,Hai-Anh H. & Sarr,Ibrahima-000535387 & Verme,Paolo, 2020. "Estimating Poverty among Refugee Populations : A Cross-Survey Imputation Exercise for Chad," Policy Research Working Paper Series 9222, The World Bank.
• Cai, Zhengyu, 2020. "Imperfect Mobility," GLO Discussion Paper Series 623, Global Labor Organization (GLO).
• Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-14.
  • Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics Discussion Papers 2020-5, Kiel Institute for the World Economy (IfW Kiel).
• Poncela, Pilar & Ruiz, Esther, 2020. "A comment on the dynamic factor model with dynamic factors," Economics Discussion Papers 2020-7, Kiel Institute for the World Economy (IfW Kiel).
• Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-14.
  • Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics Discussion Papers 2020-5, Kiel Institute for the World Economy (IfW Kiel).
• Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2020. "Bootstrap methods for inference in the Parks model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-18.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2016. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 16/22, University of Canterbury, Department of Economics and Finance.
  • Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019. "Bootstrap methods for inference in the Parks model," Economics Discussion Papers 2019-39, Kiel Institute for the World Economy (IfW Kiel).
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2018. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 18/13, University of Canterbury, Department of Economics and Finance.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2017. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 17/09, University of Canterbury, Department of Economics and Finance.
• Chen, Siyan & Desiderio, Saul, 2020. "Job duration and inequality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-27.
  • Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
• Tödter, Karl-Heinz, 2020. "Ein SIRD-Modell zur Infektionsdynamik mit endogener Behandlungskapazität und Lehren für Corona-Statistiken," IMFS Working Paper Series 141, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Farkas, Mátyás & Tatar, Balint, 2020. "Bayesian estimation of DSGE models with Hamiltonian Monte Carlo," IMFS Working Paper Series 144, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203609, Verein für Socialpolitik / German Economic Association.
  • Ettmeier, Stephanie & Kriwoluzky, Alexander, 2020. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," Working Papers 17, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
• Steen Nielsen, 2020. "Management accounting and the idea of machine learning," Economics Working Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
• James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
  • James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
• Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," Economics Discussion / Working Papers 20-06, The University of Western Australia, Department of Economics.
  • Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," School of Economics and Public Policy Working Papers 2020-03, University of Adelaide, School of Economics and Public Policy.
  • Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," CAMA Working Papers 2020-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
• Obafèmi Philippe Koutchadé & Alain Carpentier & Fabienne Féménia, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers SMART 20-09, INRAE UMR SMART.
  • Koutchadé, Obafèmi Philippe & Carpentier, Alain & Féménia, Fabienne, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers 307209, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
  • Obafemi Philippe Koutchade & Alain Carpentier & Fabienne Femenia, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers hal-02983249, HAL.
• Subrata Roy, 2020. "Gold & Stock Relation: Investors’ Reaction During Covid-19 Outbreak," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 26, pages 29-52, December.
• Ștefania-Mihaela Ozun & Vladimir-Sergiu Bobleanță & Denis Braica, 2020. "Analysis Of The Correlation Between Profitability And Risk In The Metallurgical Romanian Industry," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(48), pages 64-75, December.
• M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA 2020021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Orsi, Renzo & Mouchart, Michel & Wunsch, Guillaume, 2022. "Causality in Econometric Modeling : From Theory to Structural Causal Modeling," LIDAM Reprints ISBA 2022024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers CORE 2020003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Léopold Simar & Valentin Zelenyuk, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," CEPA Working Papers Series WP072018, School of Economics, University of Queensland, Australia.
  • Simar, Leopold & Zelenyuk, Valentin, 2020. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Reprints ISBA 2020002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Simar, Leopold & Zelenyuk, Valentin, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Discussion Papers ISBA 2018020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Ngo Thai Hung, 2020. "Does volatility transmission between stock market returns of Central and Eastern European countries vary from normal to turbulent periods?," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 70(3), pages 449-468, September.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023. "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, vol. 235(1), pages 65-81.
  • La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
  • Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers 2001.04867, arXiv.org, revised Jan 2022.
  • Davide La Vecchia & Alban Moor & O. Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Swiss Finance Institute Research Paper Series 20-01, Swiss Finance Institute.
• Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
  • Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.
  • Carlos Lamarche & Thomas Parker, 2022. "Wild Bootstrap Inference For Penalized Quantile Regression For Longitudinal Data," Working Papers 22003 Classification-C15,, University of Waterloo, Department of Economics.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Business School.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
• Koike, Takaaki & Saporito, Yuri & Targino, Rodrigo, 2022. "Avoiding zero probability events when computing Value at Risk contributions," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 173-192.
  • Takaaki Koike & Yuri F. Saporito & Rodrigo S. Targino, 2020. "Avoiding zero probability events when computing Value at Risk contributions," Papers 2004.13235, arXiv.org, revised Jun 2022.
• Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020. "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers 2012.14693, arXiv.org.
  • Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021. "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers 2021:03, Department of Economics, University of Venice "Ca' Foscari".
• Pham Thi Nga & Tristan Nguyen, 2020. "The Impact of Financial Structure on Profitability: Empirical Evidence from Vietnam’s Construction Sector," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(9), pages 1028-1036, September.
• Nicola Curci & Pietro Rizza & Marzia Romanelli & Marco Savegnago, 2020. "Irpef: (Un)Fairness and (in)efficiency. A structural analysis based on the BIMic microsimulation model," Questioni di Economia e Finanza (Occasional Papers) 546, Bank of Italy, Economic Research and International Relations Area.
• Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
• Nicola Curci & Giuseppe Grasso & Pasquale Recchia & Marco Savegnago, 2020. "Anti-poverty measures in Italy: a microsimulation analysis," Temi di discussione (Economic working papers) 1298, Bank of Italy, Economic Research and International Relations Area.
• Benavides Guillermo, 2020. "Asymmetric Volatility Effects in Risk Management: An Empirical Analysis using a Stock Index Futures," Working Papers 2020-10, Banco de México.
• Sajad Ahmad Bhat & Javed Ahmad Bhat & Taufeeq Ajaz, 2020. "The Public–Private Investment Nexus In India: Evidence From A Policy Simulation Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 65(224), pages 101-128, January –.
• Vladimir Boyko & Nadezhda Kislyak & Mikhail Nikitin & Oleg Oborin, 2020. "Methods for Estimating the Gross Regional Product Leading Indicator," Russian Journal of Money and Finance, Bank of Russia, vol. 79(3), pages 3-29, September.
• Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2020. "Is real per capita state personal income stationary? New nonlinear, asymmetric panel‐data evidence," Bulletin of Economic Research, Wiley Blackwell, vol. 72(1), pages 50-62, January.
  • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2014. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working Papers 201462, University of Pretoria, Department of Economics.
  • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2016. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2016-20, University of Connecticut, Department of Economics.
  • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2015. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2015-02, University of Connecticut, Department of Economics.
• Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
  • Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
• ROY Subrata, 2020. "Gold & Stock Relation: Investors Reaction During Covid-19 Outbreak," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 72(3), pages 103-126, November.
• MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers CORE 2020003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Orsi, Renzo & Mouchart, Michel & Wunsch, Guillaume, 2022. "Causality in Econometric Modeling : From Theory to Structural Causal Modeling," LIDAM Reprints ISBA 2022024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA 2020021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Graziano Moramarco, 2020. "Measuring Global Macroeconomic Uncertainty," Working Papers wp1148, Dipartimento Scienze Economiche, Universita' di Bologna.
• Dungey Mardi & Martin Vance L. & Tang Chrismin & Tremayne Andrew, 2020. "A threshold mixed count time series model: estimation and application," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-18, April.
• Ahmad Yamin S & Paya Ivan, 2020. "Temporal aggregation of random walk processes and implications for economic analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Business School.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
• Andy Wilson & William J Nuttall & Bartek A Glowacki, 2020. "Techno-economic study of output-flexible light water nuclear reactor systems with cryogenic energy storage," Working Papers EPRG2001, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  • Wilson, A. & Nuttall, W. & Glowacki, B., 2020. "Techno-economic study of output-flexible light water nuclear reactor systems with cryogenic energy storage," Cambridge Working Papers in Economics 2001, Faculty of Economics, University of Cambridge.
• Linton, O. & Seo, M. & Whang, Y-J., 2020. "Testing Stochastic Dominance with Many Conditioning Variables," Cambridge Working Papers in Economics 2004, Faculty of Economics, University of Cambridge.
• M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2020. "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series 8695, CESifo.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2021. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Papers 2109.00321, arXiv.org, revised Jan 2022.
  • Pesaran, M. H. & Yang, C. F., 2020. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Cambridge Working Papers in Economics 20102, Faculty of Economics, University of Cambridge.
• Demosthenes Tambakis, 2021. "A Markov chain measure of systemic banking crisis frequency," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1351-1356, September.
  • Tambakis, D., 2020. "A Markov-Chain Measure of Systemic Banking Crisis Frequency," Cambridge Working Papers in Economics 2083, Faculty of Economics, University of Cambridge.
• W. Robert Reed, 2020. "A Note on the Use of Partial Correlation Coefficients in Meta-Analyses," Working Papers in Economics 20/08, University of Canterbury, Department of Economics and Finance.
• Sanghyun Hong & W. Robert Reed, 2020. "Using Monte Carlo Experiments to Select Meta-Analytic Estimators," Working Papers in Economics 20/10, University of Canterbury, Department of Economics and Finance.
• Rafael S. M. Ribeiro, 2020. "Previsões a partir do Modelo Epidemiológico SIR para os Casos de Infecção pelo COVID-19: uma aplicação para os estados brasileiros," Notas Técnicas Cedeplar-UFMG 005, Cedeplar, Universidade Federal de Minas Gerais.
• Leonardo Costa Ribeiro & Américo Tristão Bernardes, 2020. "Estimate of underreporting of COVID-19 in Brazil by Acute Respiratory Syndrome hospitalization reports," Notas Técnicas Cedeplar-UFMG 010, Cedeplar, Universidade Federal de Minas Gerais.
• Baba, Amina & Creti, Anna & Massol, Olivier, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, vol. 89(C).
  • Amina-Feriel Baba & Anna Creti & O. Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Post-Print hal-03550802, HAL.
  • Amina Baba & Anna Cretti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Working Papers 2004, Chaire Economie du climat.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG Imbroglio ?," Working Papers hal-03192881, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio ?," Post-Print hal-02955119, HAL.
• Abakah, Emmanuel Joel Aikins & Caporale, Guglielmo Maria & Gil-Alana, Luis Alberiko, 2021. "Economic policy uncertainty: Persistence and cross-country linkages," Research in International Business and Finance, Elsevier, vol. 58(C).
  • Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
• M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
  • Pesaran, M. H. & Yang, C. F., 2020. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Cambridge Working Papers in Economics 20102, Faculty of Economics, University of Cambridge.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2020. "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series 8695, CESifo.
  • M. Hashem Pesaran & Cynthia Fan Yang, 2021. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Papers 2109.00321, arXiv.org, revised Jan 2022.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023. "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, vol. 235(1), pages 65-81.
  • Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers 2001.04867, arXiv.org, revised Jan 2022.
  • Davide La Vecchia & Alban Moor & O. Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Swiss Finance Institute Research Paper Series 20-01, Swiss Finance Institute.
  • La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
• Giovanny Sandoval Paucar, 2020. "Efectos de propagación de los mercados financieros estadounidenses en los colombianos," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 39(81), pages 667-702, July.
• M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
  • MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers CORE 2020003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Orsi, Renzo & Mouchart, Michel & Wunsch, Guillaume, 2022. "Causality in Econometric Modeling : From Theory to Structural Causal Modeling," LIDAM Reprints ISBA 2022024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA 2020021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• UMBA, Gilles Bertrand, 2017. "Estimation bayésienne d'un modèle DSGE pour une petite économie ouverte : Cas de la RD Congo [Bayesian estimation of a DSGE model for a small open economy: Case of DR Congo]," MPRA Paper 81324, University Library of Munich, Germany.
  • Umba, Gilles Bertrand, 2020. "Estimation bayésienne d’un modèle DSGE pour une petite économie ouverte : Cas de la RD Congo," Dynare Working Papers 57, CEPREMAP.
• Oliver de Groot & Alexander W. Richter & Nathaniel A. Throckmorton, 2022. "Valuation risk revalued," Quantitative Economics, Econometric Society, vol. 13(2), pages 723-759, May.
  • Oliver de Groot & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "Valuation Risk Revalued," Working Papers 1808, Federal Reserve Bank of Dallas.
  • de Groot, Oliver & Richter, Alexander W. & Throckmorton, Nathaniel, 2020. "Valuation Risk Revalued," CEPR Discussion Papers 14588, C.E.P.R. Discussion Papers.
  • Oliver de Groot & Alexander W. Richter & Nathanial A. Throckmorton, 2019. "Valuation Risk Revalued," Working Papers 201904, University of Liverpool, Department of Economics.
• Pellizzari, Michele & De Giorgi, Giacomo & Rodríguez Barraquer, Tomás, 2020. "An Estimable Model of Production Interactions in Endogenous Networks," CEPR Discussion Papers 15461, C.E.P.R. Discussion Papers.
• Stephanie Ettmeier & Alexander Kriwoluzky, 2020. "Active, or Passive? Revisiting the Role of Fiscal Policy in the Great Inflation," Discussion Papers of DIW Berlin 1872, DIW Berlin, German Institute for Economic Research.
• Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
  • Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
  • Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
  • Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
• Chia-Cheng Chen & Chun-Hung Chen & Ting-Yin Liu, 2020. "Investment Performance of Machine Learning: Analysis of S&P 500 Index," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 59-66.
• Dmitry Kulikov & Nicolas Reigl, 2020. "Inflation expectations in Phillips Curves models for the euro area," Bank of Estonia Working Papers wp2019-8, Bank of Estonia, revised 29 Jan 2020.
• Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
  • Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
• Han, Jong-Suk & Hur, Joonyoung, 2020. "Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach," Economic Modelling, Elsevier, vol. 89(C), pages 142-152.
• Chen, Shou & Jiang, Xiangqian & He, Hongbo & Zhou, Xi, 2020. "A pricing model with dynamic repayment flows for guaranteed consumer loans," Economic Modelling, Elsevier, vol. 91(C), pages 1-11.
• Lian, Yu-Min & Chen, Jun-Home, 2020. "Joint dynamic modeling and option pricing in incomplete derivative-security market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
• Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020. "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
• Tang, Zhenpeng & Ran, Meng & Zhao, Yongxiang, 2020. "Stock trading dynamics and pedestrian counterflows: Analogies and differences," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
• Hounyo, Ulrich & Varneskov, Rasmus T., 2020. "Inference for local distributions at high sampling frequencies: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 215(1), pages 1-34.
• Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
• Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
  • Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory," Cahiers de recherche 14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Firmin Doko Tchatoka & Jean-Marie Dufour, 2016. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: invariance and finite-sample distributional theory," CIRANO Working Papers 2016s-62, CIRANO.
• Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.
• Davidson, Russell & Trokić, Mirza, 2020. "The fast iterated bootstrap," Journal of Econometrics, Elsevier, vol. 218(2), pages 451-475.
  • Russell Davidson & Mirza Trokić, 2020. "The fast iterated bootstrap," Post-Print hal-02965001, HAL.
• Haddad, Hedi Ben & Mezghani, Imed & Al Dohaiman, Mohammed, 2020. "Common shocks, common transmission mechanisms and time-varying connectedness among Dow Jones Islamic stock market indices and global risk factors," Economic Systems, Elsevier, vol. 44(2).
• Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).
• Tranberg, Bo & Hansen, Rasmus Thrane & Catania, Leopoldo, 2020. "Managing volumetric risk of long-term power purchase agreements," Energy Economics, Elsevier, vol. 85(C).
• Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020. "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, vol. 87(C).
• Baba, Amina & Creti, Anna & Massol, Olivier, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, vol. 89(C).
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio ?," Post-Print hal-02955119, HAL.
  • Amina Baba & Anna Cretti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Working Papers 2004, Chaire Economie du climat.
  • Amina-Feriel Baba & Anna Creti & O. Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Post-Print hal-03550802, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG Imbroglio ?," Working Papers hal-03192881, HAL.
• Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020. "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, vol. 91(C).
• Qin, Ping. & Chen, Peilin. & Zhang, Xiao-Bing. & Xie, Lunyu., 2020. "Coal taxation reform in China and its distributional effects on residential consumers," Energy Policy, Elsevier, vol. 139(C).
• Nivelleau De La Brunière, Stanislas & Haye, Jean-Come & Mazza, Paolo, 2020. "The performance of corporate legal insiders on the French stock market," International Review of Law and Economics, Elsevier, vol. 61(C).
• Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020. "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, vol. 118(C).
• Škare, Marinko & Porada-Rochoń, Małgorzata, 2020. "Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018," Journal of Business Research, Elsevier, vol. 112(C), pages 567-575.
• Lankester-Campos, Valerie & Loaiza-Marín, Kerry & Monge-Badilla, Carlos, 2020. "Assessing public debt sustainability for Costa Rica using the fiscal reaction function," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
• Agbeyegbe, Terence D., 2020. "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
  • Konstantinos Theodoridis & Haroon Mumtaz, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 101219932, Lancaster University Management School, Economics Department.
  • Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers E2018/21, Cardiff University, Cardiff Business School, Economics Section.
  • Haroon Mumtaz & Konstantinos Theodoridis, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 760, Queen Mary University of London, School of Economics and Finance.
• Huang, Jinbo & Ding, Ashley & Li, Yong & Lu, Dong, 2020. "Increasing the risk management effectiveness from higher accuracy: A novel non-parametric method," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
• Wang, Haoyu & Di, Junpeng & Yang, Zhaojun & Han, Qing, 2020. "Assessment of mutual fund performance based on Ensemble Empirical Mode Decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
• Silveira, Douglas & Vasconcelos, Silvinha, 2020. "Essays on duopoly competition with asymmetric firms: Is profit maximization always an evolutionary stable strategy?," International Journal of Production Economics, Elsevier, vol. 225(C).
• Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
• Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
• Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," Economics Discussion / Working Papers 20-06, The University of Western Australia, Department of Economics.
  • Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," CAMA Working Papers 2020-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Firmin Doko Tchatoka & Qazi Haque, 2020. "On bootstrapping tests of equal forecast accuracy for nested models," School of Economics and Public Policy Working Papers 2020-03, University of Adelaide, School of Economics and Public Policy.
• De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2022. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Journal of Econometrics, Elsevier, vol. 230(2), pages 299-317.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Tinbergen Institute Discussion Papers 20-015/III, Tinbergen Institute.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with anapplication to WALS estimation," EIEF Working Papers Series 2003, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2020.
• Luis M. Abadie & Marek Smid, 2020. "Climate change and heatwaves in the main coastal cities of the Basque Country," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 97(01), pages 165-189.
• Yu-Wei Hsieh & Matthew Shum, 2020. "Bayesian Estimation of Linear Sum Assignment Problems," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 323-339, Emerald Group Publishing Limited.
• Xiu Wei Yeap & Hooi Hooi Lean & Marius Galabe Sampid & Haslifah Mohamad Hasim, 2020. "The dependence structure and portfolio risk of Malaysia's foreign exchange rates: the Bayesian GARCH–EVT–copula model," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 16(5), pages 952-974, October.
• Bhushan Praveen Jangam & Badri Narayan Rath, 2020. "Does productivity drive the real exchange rate movements? A re-examination of the Balassa–Samuelson hypothesis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(5), pages 1093-1118, June.
• Washington Martins Silva & Osvaldo Candido, 2020. "Assessing Brazilian electric power transmission auctions," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(1), pages 182-199, February.
• Wilson, A. & Nuttall, W. & Glowacki, B., 2020. "Techno-economic study of output-flexible light water nuclear reactor systems with cryogenic energy storage," Cambridge Working Papers in Economics 2001, Faculty of Economics, University of Cambridge.
  • Andy Wilson & William J Nuttall & Bartek A Glowacki, 2020. "Techno-economic study of output-flexible light water nuclear reactor systems with cryogenic energy storage," Working Papers EPRG2001, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
• Krzysztof Dmytrow, 2020. "Impact of the Method of Criteria Normalisation on the Order Picking Route and Time," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 834-851.
• Grzegorz Przekota, 2020. "Application of the Surface Division Method to Segregate Investments in Capital Markets for Shares‘ Portfolio," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 883-896.
• Alenka Guzmán & Marco Antonio Pérez, 2020. "Extensión de la pandemia Covid-19 frente al acceso a la vacuna y las capacidades tecnológicas y de innovación del sector biofarmacéutico de México," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 0(2), pages 69-98, Diciembre.
• Lubomira Gertler & Kristina Janovicova-Bognarova & Lukas Majer, 2020. "Explaining Corporate Credit Default Rates with Sector Level Detail," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 70(2), pages 96-120, August.
• Edward Knotek & Saeed Zaman, 2020. "Real-time density nowcasts of US inflation: a model-combination approach," Working Papers 2015, University of Strathclyde Business School, Department of Economics.
  • Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
• Enrique Martinez-Garcia & Efthymios Pavlidis & Kostas Vasilopoulos, 2020. "exuber: Recursive Right-Tailed Unit Root Testing with R," Globalization Institute Working Papers 383, Federal Reserve Bank of Dallas, revised 19 Oct 2021.
• Tyler Atkinson & Michael Plante & Alexander Richter & Nathaniel Throckmorton, 2022. "Complementarity and Macroeconomic Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 225-243, April.
  • Tyler Atkinson & Michael D. Plante & Alexander W. Richter & Nathaniel A. Throckmorton, 2020. "Complementarity and Macroeconomic Uncertainty," Working Papers 2009, Federal Reserve Bank of Dallas.
• Tyler Atkinson & Jim Dolmas & Christoffer Koch & Evan F. Koenig & Karel Mertens & Anthony Murphy & Kei-Mu Yi, 2020. "Mobility and Engagement Following the SARS-Cov-2 Outbreak," Working Papers 2014, Federal Reserve Bank of Dallas.
• Christopher Otrok & B. Ravikumar, 2020. "Asset Pricing Through the Lens of the Hansen-Jagannathan Bound," Review, Federal Reserve Bank of St. Louis, vol. 102(3), pages 255-269, July.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
• Turuntseva Marina & Astafieva Ekaterina & Bozhechkova Alexandra & Baeva Marina & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-28, January.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-28, January.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 10, pages 1-29, October.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 11, pages 1-29, November.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 12, pages 1-29, December.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 2, pages 1-28, February.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-28, March.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-28, April.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-28, May.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-29, June.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-29, July.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 8, pages 1-29, August.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 8, pages 1-29, August.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-29, August.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-29, September.
• Katsuto Tanaka & Weilin Xiao & Jun Yu, 2020. "Maximum Likelihood Estimation for the Fractional Vasicek Model," Econometrics, MDPI, vol. 8(3), pages 1-28, August.
  • Tanaka, Katsuto & Xiao, Weilin & Yu, Jun, 2019. "Maximum Likelihood Estimation for the Fractional Vasicek Model," Economics and Statistics Working Papers 8-2019, Singapore Management University, School of Economics.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Business School.
• Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Paper series 20-09, Rimini Centre for Economic Analysis.
  • Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Papers 2020_21, Business School - Economics, University of Glasgow.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023. "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, vol. 235(1), pages 65-81.
  • Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers 2001.04867, arXiv.org, revised Jan 2022.
  • La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
  • Davide La Vecchia & Alban Moor & O. Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Swiss Finance Institute Research Paper Series 20-01, Swiss Finance Institute.
• Baba, Amina & Creti, Anna & Massol, Olivier, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, vol. 89(C).
  • Amina-Feriel Baba & Anna Creti & O. Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Post-Print hal-03550802, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio ?," Post-Print hal-02955119, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG Imbroglio ?," Working Papers hal-03192881, HAL.
  • Amina Baba & Anna Cretti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Working Papers 2004, Chaire Economie du climat.
• Davidson, Russell & Trokić, Mirza, 2020. "The fast iterated bootstrap," Journal of Econometrics, Elsevier, vol. 218(2), pages 451-475.
  • Russell Davidson & Mirza Trokić, 2020. "The fast iterated bootstrap," Post-Print hal-02965001, HAL.
• Baba, Amina & Creti, Anna & Massol, Olivier, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, vol. 89(C).
  • Amina Baba & Anna Cretti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Working Papers 2004, Chaire Economie du climat.
  • Amina-Feriel Baba & Anna Creti & O. Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Post-Print hal-03550802, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG Imbroglio ?," Working Papers hal-03192881, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio ?," Post-Print hal-02955119, HAL.
• Obafèmi Philippe Koutchadé & Alain Carpentier & Fabienne Féménia, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers SMART 20-09, INRAE UMR SMART.
  • Obafemi Philippe Koutchade & Alain Carpentier & Fabienne Femenia, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers hal-02983249, HAL.
  • Koutchadé, Obafèmi Philippe & Carpentier, Alain & Féménia, Fabienne, 2020. "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers 307209, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
• Baba, Amina & Creti, Anna & Massol, Olivier, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, vol. 89(C).
  • Amina-Feriel Baba & Anna Creti & O. Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Post-Print hal-03550802, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG Imbroglio ?," Working Papers hal-03192881, HAL.
  • Amina Baba & Anna Creti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio ?," Post-Print hal-02955119, HAL.
  • Amina Baba & Anna Cretti & Olivier Massol, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Working Papers 2004, Chaire Economie du climat.
• Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
  • Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
• Karlsson, Sune & Mazur, Stepan, 2020. "Flexible Fat-tailed Vector Autoregression," Working Papers 2020:5, Örebro University, School of Business.
• Tsunetada HIROBE, 2020. "Is Stability For Regional Disparities Of Unemployment Rates Truly Mysterious? An Analysis From Statistical Approach," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 253-260, June.
• Lankester Campos, Valerie & Loaiza Marín, Kerry & Monge Badilla, Carlos, 2020. "Primary Balance: Sustainability Analysis under Uncertainty," IDB Publications (Working Papers) 10780, Inter-American Development Bank.
• Zaafri Ananto Husodo & Sigit Sulistyo Wibowo & Muhammad Budi Prasetyo & Usman Arief & Maulana Harris Muhajir, 2020. "Estimating A Joint Probability Of Default Index For Indonesian Banks: A Copula Approach," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(3), pages 387-410.
• Paula Beatriz Morales Bañuelos, 2020. "Selección del modelo de mejor estimación del Valor Razonable en un mercado emergente," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 15(1), pages 81-103, Enero - M.
• Carlos Guerrero de Lizardi, 2020. "Granger revisited: t values and the empirical OLS bias with stationary and non-stationary time series using Monte Carlo simulations," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 15(SNEA), pages 577-588, Agosto 20.
• Beltram,Theresa & Dang,Hai-Anh H. & Sarr,Ibrahima-000535387 & Verme,Paolo, 2020. "Estimating Poverty among Refugee Populations : A Cross-Survey Imputation Exercise for Chad," Policy Research Working Paper Series 9222, The World Bank.
  • Beltramo, Theresa & Dang, Hai-Anh & Sarr, Ibrahima & Verme, Paolo, 2021. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," IZA Discussion Papers 14606, Institute of Labor Economics (IZA).
  • Theresa Beltramo & Hai-Anh H. Dang & Ibrahima Sarr & Paolo Verme, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," Working Papers 536, ECINEQ, Society for the Study of Economic Inequality.
  • Beltramo, Theresa & Dang, Hai-Anh H. & Sarr, Ibrahima & Verme, Paolo, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," GLO Discussion Paper Series 538, Global Labor Organization (GLO).
• Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.
  • Hai-Anh H. Dang & Peter F. Lanjouw, 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," Working Papers 540, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," IZA Discussion Papers 13215, Institute of Labor Economics (IZA).
  • Dang, Hai-Anh H. & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," GLO Discussion Paper Series 535, Global Labor Organization (GLO).
• Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.
  • Dang, Hai-Anh & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," IZA Discussion Papers 13215, Institute of Labor Economics (IZA).
  • Hai-Anh H. Dang & Peter F. Lanjouw, 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," Working Papers 540, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh H. & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," GLO Discussion Paper Series 535, Global Labor Organization (GLO).
• Cathal O'Donoghue & Denisa M. Sologon & Iryna Kyzyma & John McHale, 2020. "Modelling the Distributional Impact of the COVID‐19 Crisis," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 321-336, June.
  • O'Donoghue, Cathal & Sologon, Denisa Maria & Kyzyma, Iryna & McHale, John, 2020. "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers 13235, Institute of Labor Economics (IZA).
• Janys, Lena, 2020. "Evidence for a Two-Women Quota in University Departments across Disciplines," IZA Discussion Papers 13372, Institute of Labor Economics (IZA).
• Hyeong-Ohk Bae & Seung-Yeal Ha & Yongsik Kim & Hyuncheul Lim & Jane Yoo, 2020. "Volatility Flocking by Cucker–Smale Mechanism in Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(3), pages 387-414, September.
• Murat Midiliç, 2020. "Estimation of STAR–GARCH Models with Iteratively Weighted Least Squares," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 87-117, January.
• Heni Boubaker, 2020. "Wavelet Estimation Performance of Fractional Integrated Processes with Heavy-Tails," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 473-498, February.
• Dimitrios Koutmos & Bochen Wu & Qi Zhang, 2020. "In search of winning mutual funds in the Chinese stock market," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 589-616, February.
• Robina Iqbal & Ghulam Sorwar & Rose Baker & Taufiq Choudhry, 2020. "Multiday expected shortfall under generalized t distributions: evidence from global stock market," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 803-825, October.
• Boros, Péter, 2020. "A hitelminősítői bejelentések fertőző hatásai és a hitelértékelési kiigazítás [Rating migration, credit risk contagion and Credit Valuation Adjustment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 140-163.
• Losoncz, Miklós & Czelleng, Ádám, 2020. "A jövedelemegyenlőtlenség makrogazdasági hatásai szimulációs megközelítésben [Some macroeconomic effects of income inequalities in a simulation approach]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 495-511.
• Giuseppe Cavaliere & Heino Bohn Nielsen & Anders Rahbek, 2020. "An Introduction To Bootstrap Theory In Time Series Econometrics," Discussion Papers 20-02, University of Copenhagen. Department of Economics.
• Vahidin Jeleskovic & Mirko Meloni & Zahid Irshad Younas, 2020. "Cryptocurrencies: A Copula Based Approach for Asymmetric Risk Marginal Allocations," MAGKS Papers on Economics 202034, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• W. A. Razzak, 2021. "Measuring the effect of negative interest rate on New Zealand banks," SN Business & Economics, Springer, vol. 1(3), pages 1-23, March.
  • Weshah Razzak, 2020. "Measuring the Effect of Negative Interest Rate on New Zealand Banks," Discussion Papers 2008, School of Economics and Finance, Massey University, New Zealand.
• S. Broda & Juan Carlos Arismendi-Zambrano, 2020. "On Quadratic Forms in Multivariate Generalized Hyperbolic Random Vectors∗," Economics Department Working Paper Series n302-20.pdf, Department of Economics, National University of Ireland - Maynooth.
• Taro Ohno & Junpei Sakamaki & Daizo Kojima, 2020. "Factor decomposition of changes in the tax base for income tax," Discussion papers ron331, Policy Research Institute, Ministry of Finance Japan.
• Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
• Svetlana Litvinova & Mervyn J. Silvapulle, 2020. "Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index," Monash Econometrics and Business Statistics Working Papers 15/20, Monash University, Department of Econometrics and Business Statistics.
• Hillebrand, Eric & Lukas, Manuel & Wei, Wei, 2021. "Bagging weak predictors," International Journal of Forecasting, Elsevier, vol. 37(1), pages 237-254.
  • Manuel Lukas & Eric Hillebrand, 2014. "Bagging Weak Predictors," CREATES Research Papers 2014-01, Department of Economics and Business Economics, Aarhus University.
  • Eric Hillebrand & Manuel Lukas & Wei Wei, 2020. "Bagging Weak Predictors," Monash Econometrics and Business Statistics Working Papers 16/20, Monash University, Department of Econometrics and Business Statistics.
• Artūras Juodis & Vasilis Sarafidis, 2022. "A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 1-15, January.
  • Arturas Juodis & Vasilis Sarafidis, 2020. "A Linear Estimator for FactorAugmented Fixed-T Panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 5/20, Monash University, Department of Econometrics and Business Statistics.
• Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
• Beth Ann Griffin & Megan S. Schuler & Elizabeth A. Stuart & Stephen Patrick & Elizabeth McNeer & Rosanna Smart & David Powell & Bradley Stein & Terry Schell & Rosalie Liccardo Pacula, 2020. "Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of State-Level Opioid Policies on Opioid-Related Mortality," NBER Working Papers 27029, National Bureau of Economic Research, Inc.
• Donald A. Berry & Scott Berry & Peter Hale & Leah Isakov & Andrew W. Lo & Kien Wei Siah & Chi Heem Wong, 2020. "A Cost/Benefit Analysis of Clinical Trial Designs for COVID-19 Vaccine Candidates," NBER Working Papers 27882, National Bureau of Economic Research, Inc.
• Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
  • CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
  • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
• Halkos, George & Skouloudis, Antonis, 2020. "Revisiting the Dynamics of Forest Area Change: A Panel Data Assessment," Journal of Forest Economics, now publishers, vol. 35(2-3), pages 107-127, March.
• Nico Keilman, 2020. "Evaluating Probabilistic Population Forecasts," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 520-521, pages 49-64.
• HARCSA Imre Milán & KOVÁCS Sándor & NÁBRÁDI András, 2020. "Economic Analysis Of Subcontract Distilleries By Simulation Modeling Method," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 50-63, July.
• Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
• Simon C Smith & George Bulkley & David S Leslie, 2020. "Equity Premium Forecasts with an Unknown Number of Structural Breaks [Tests for Parameter Instability and Structural Change with Unknown Change Point]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 59-94.
• Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2020. "Identification and Estimation in Non-Fundamental Structural VARMA Models," Review of Economic Studies, Oxford University Press, vol. 87(4), pages 1915-1953.
  • Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Identification and Estimation in Non-Fundamental Structural VARMA Models," Working Papers 2017-08, Center for Research in Economics and Statistics.
• Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2020. "Welfare Dynamics and Inequality in the Russian Federation During 1994–2015," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(4), pages 812-846, September.
• Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
• Fianu, Emmanuel Senyo & Ahelegbey, Daniel Felix & Grossi, Luigi, 2022. "Modeling risk contagion in the Italian zonal electricity market," European Journal of Operational Research, Elsevier, vol. 298(2), pages 656-679.
  • Daniel Felix Ahelegbey & Emmanuel Senyo Fianu & Luigi Grossi, 2020. "Modeling Risk Contagion in the Italian Zonal Electricity Market," DEM Working Papers Series 182, University of Pavia, Department of Economics and Management.
• Daniel Felix Ahelegbey & Paolo Giudici, 2020. "Market Risk, Connectedness and Turbulence: A Comparison of 21st Century Financial Crises," DEM Working Papers Series 188, University of Pavia, Department of Economics and Management.
• Ahelegbey, Daniel Felix & Giudici, Paolo, 2022. "NetVIX — A network volatility index of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
  • Daniel Felix Ahelegbey & Paolo Giudici, 2020. "NetVIX - A Network Volatility Index of Financial Markets," DEM Working Papers Series 192, University of Pavia, Department of Economics and Management.
• Daniel Felix Ahelegbey, 2020. "A Statistical Measure of Global Equity Market Risk," DEM Working Papers Series 194, University of Pavia, Department of Economics and Management.
• Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2020. "Modeling Turning Points In Global Equity Market," DEM Working Papers Series 195, University of Pavia, Department of Economics and Management.
• Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
  • Gary Koop & Dimitris Korobilis, 2018. "Bayesian dynamic variable selection in high dimensions," Papers 1809.03031, arXiv.org, revised May 2020.
  • Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
  • Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
• Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
  • Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
  • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Business School.
• Pihnastyi, Oleh & Khodusov, Valery, 2020. "Neural model of conveyor type transport system," MPRA Paper 101527, University Library of Munich, Germany, revised 01 May 2020.
• Aknouche, Abdelhakim & Almohaimeed, Bader & Dimitrakopoulos, Stefanos, 2020. "Forecasting transaction counts with integer-valued GARCH models," MPRA Paper 101779, University Library of Munich, Germany, revised 11 Jul 2020.
• Maulana, Ardian & Situngkir, Hokky, 2020. "Divided Information Space: Media Polarization on Twitter during 2019 Indonesian Election," MPRA Paper 101957, University Library of Munich, Germany.
• Jemio Hurtado, Valeria, 2020. "Monetary rules in an open economy with distortionary subsidies and inefficient shocks: A DSGE approach for Bolivia," MPRA Paper 102374, University Library of Munich, Germany, revised 14 Jul 2020.
• Hendriks, Johannes Jurgens & Bonga-Bonga, Lumengo, 2020. "Sectoral dependence and contagion in the BRICS grouping: an application of the R-Vine copulas," MPRA Paper 102473, University Library of Munich, Germany.
• Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
  • Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
  • Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
  • Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
• Van, Germinal G., 2020. "Modeling and Forecasting Economic Growth in Sub-Saharan Africa in the Post-Covid Era," MPRA Paper 103153, University Library of Munich, Germany.
• Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.
• Pihnastyi, Oleh & Khodusov, Valery & Subbotin, Sergey, 2020. "Linear Regression Model of the Conveyor Type Transport System," MPRA Paper 103881, University Library of Munich, Germany, revised 26 Sep 2020.
• Sinha, Pankaj & Verma, Aniket & Shah, Purav & Singh, Jahnavi & Panwar, Utkarsh, 2020. "Prediction for the 2020 United States Presidential Election using Machine Learning Algorithm: Lasso Regression," MPRA Paper 103889, University Library of Munich, Germany, revised 31 Oct 2020.
• Pihnastyi, Oleh & Yemelianova, Daria & Lysytsia, Dmytro, 2020. "Using PDE-model and system dynamics model for describing multi-operation production lines," MPRA Paper 103975, University Library of Munich, Germany, revised 31 Aug 2020.
• Nartikoev, Alan & Peresetsky, Anatoly, 2020. "Эндогенная Классификация Домохозяйств В Регионах России [Endogenous household classification: Russian regions]," MPRA Paper 104351, University Library of Munich, Germany.
• Pihnastyi, Oleh & Khodusov, Valery, 2020. "The stabilization problem the flow parameters of the production line," MPRA Paper 104528, University Library of Munich, Germany, revised 14 Sep 2020.
• Pihnastyi, Oleh & Khodusov, Valery, 2020. "Development of the controlling speed algorithm of the conveyor belt based on TOU-tariffs," MPRA Paper 104681, University Library of Munich, Germany, revised 12 Nov 2020.
• Wang, Wenjie, 2020. "On Bootstrap Validity for the Test of Overidentifying Restrictions with Many Instruments and Heteroskedasticity," MPRA Paper 104858, University Library of Munich, Germany.
• Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
  • Juodis, Arturas & Sarafidis, Vasilis, 2020. "An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104906, University Library of Munich, Germany.
• Juodis, Arturas & Sarafidis, Vasilis, 2020. "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104908, University Library of Munich, Germany.
• Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2020. "On an integer-valued stochastic intensity model for time series of counts," MPRA Paper 105406, University Library of Munich, Germany.
• Pihnastyi, Oleh & Kozhevnikov, Georgii, 2020. "Control of a Conveyor Based on a Neural Network," MPRA Paper 111950, University Library of Munich, Germany, revised 09 Oct 2021.
• Onour, Ibrahim, 2020. "Modeling the impact of economic sanctions on a small open economy: A dynamic approach," MPRA Paper 116005, University Library of Munich, Germany.

2019

• Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
  • Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
  • Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
• Gabriela Pesce & Gastón Milanesi & Emilio El Alabi & Joaquín Menna, 2019. "Valuación de un seguro de vida mediante opciones exóticas," Asociación Argentina de Economía Política: Working Papers 4189, Asociación Argentina de Economía Política.
• Ryan Kruger & Chun-Sung Huang & Kanshukan Rajaratnam & Chun-Kai Huang, 2019. "A Comparative Analysis of Aggregational Gaussianity Across Different Market Capitalisations for JSE-listed Shares and Indices," The African Finance Journal, Africagrowth Institute, vol. 21(2), pages 24-35.
• Vladan Pavlović & Goranka Knežević & Marijana Joksimović & Dušan Joksimović, 2019. "Fraud Detection in Financial Statements Applying Benford’s Law with Monte Carlo Simulation," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(2), pages 217-239, June.
• Jessica Bracco, Leonardo Gasparini, Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 65, pages 69-124, January-D.
  • Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 65, pages 69-124, January-D.
  • Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," CEDLAS, Working Papers 0245, CEDLAS, Universidad Nacional de La Plata.
• Arne Melchior, 2019. "Russia in world trade: Between globalism and regionalism," Russian Journal of Economics, ARPHA Platform, vol. 5(4), pages 354-384, December.
• Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
  • Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
• Slavko Bezeredi, 2019. "The Impact Of Tax And Social Benefit System Reforms On Work Incentives In Croatia: 2013-2018," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(2), pages 613-638, december.
• Nicola Curci & Marco Savegnago, 2019. "Shifting taxes from labour to consumption: the efficiency-equity trade-off," Temi di discussione (Economic working papers) 1244, Bank of Italy, Economic Research and International Relations Area.
• Jitka Pomenkova & Eva Klejmova & Zuzana Kucerova, 2019. "Cyclicality in lending activity of Euro area in pre- and post- 2008 crisis: a local-adaptive-based testing of wavelets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 155-175.
• Emanuel Kohlscheen & Jouchi Nakajima, 2021. "Steady‐state growth," International Finance, Wiley Blackwell, vol. 24(1), pages 40-52, April.
  • Emanuel Kohlscheen & Jouchi Nakajima, 2019. "Steady-state growth," BIS Working Papers 812, Bank for International Settlements.
• Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
  • Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
  • Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
  • Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
• Daniel Buncic, 2019. "Identification and Estimation Issues in Exponential Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 667-685, June.
  • Buncic, Daniel, 2017. "Identification and Estimation issues in Exponential Smooth Transition Autoregressive Models," Working Paper Series 344, Sveriges Riksbank (Central Bank of Sweden).
• Gary Koop & Dimitris Korobilis, 2019. "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
  • Gary Koop & Dimitris Korobilis, 2015. "Forecasting With High Dimensional Panel VARs," Working Papers 2015_25, Business School - Economics, University of Glasgow.
  • Koop, G & Korobilis, D, 2018. "Forecasting with High-Dimensional Panel VARs," Essex Finance Centre Working Papers 21329, University of Essex, Essex Business School.
  • Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
  • Koop, Gary & Korobilis, Dimitris, 2015. "Forecasting with High-Dimensional Panel VARs," MPRA Paper 84275, University Library of Munich, Germany, revised 31 Jan 2018.
• Taras Bodnar & Stepan Mazur & Nestor Parolya, 2019. "Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix‐variate location mixture of normal distributions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 46(2), pages 636-660, June.
  • Bodnar, Taras & Mazur, Stepan & Parolya, Nestor, 2017. "Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions," Working Papers 2017:5, Örebro University, School of Business.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzollo & Herman K. van Dijk, 2019. "Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 19-025/III, Tinbergen Institute.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2019. "Forecast density combinations with dynamic learning for large data sets in economics and finance," Working Paper 2019/7, Norges Bank.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2020. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1092-1110, July.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
  • Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers No 01/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• Shakeeb Khan & Denis Nekipelov, 2013. "On Uniform Inference in Nonlinear Models with Endogeneity," Working Papers 13-16, Duke University, Department of Economics.
  • Shakeeb Khan & Denis Nekipelov, 2019. "On Uniform Inference in Nonlinear Models with Endogeneity," Boston College Working Papers in Economics 986, Boston College Department of Economics.
• Tsakas Nikolas, 2019. "On Decay Centrality," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-18, January.
  • Nikolas Tsakas, 2016. "On decay centrality," University of Cyprus Working Papers in Economics 04-2016, University of Cyprus Department of Economics.
• Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
• Zuzana Mucka, 2019. "The mirror does not lie: Endogenous fiscal limits for Slovakia," Working Papers Working Paper No. 2/2019, Council for Budget Responsibility.
• Sanghyun Hong & W. Robert Reed, 2019. "A Performance Analysis of Some New Meta-Analysis Estimators Designed to Correct Publication Bias," Working Papers in Economics 19/04, University of Canterbury, Department of Economics and Finance.
• Sanghyun Hong & W. Robert Reed, 2019. "Towards an Experimental Framework for Assessing Meta-Analysis Methods, with a Focus on Andrews-Kasy Estimators," Working Papers in Economics 19/13, University of Canterbury, Department of Economics and Finance.
• Hajivassiliou, Vassilis & Savignac, Frédérique, 2019. "Novel approaches to coherency conditions in dynamic LDV models: quantifying financing constraints and a firm's decision and ability to innovate," LSE Research Online Documents on Economics 102544, London School of Economics and Political Science, LSE Library.
  • V A Hajivassiliou & Frédérique Savignac & Frédérique Savignac, 2019. "Novel Approaches to Coherency Conditions in Dynamic LDV Models: Quantifying Financing Constraints and a Firm's Decision and Ability to Innovate," STICERD - Econometrics Paper Series 606, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• Hajivassiliou, Vassilis, 2019. "Estimation and specification testing of panel data models with non-ignorable persistent heterogeneity, contemporaneous and intertemporal simultaneity and observable and unobservable dynamics," LSE Research Online Documents on Economics 102843, London School of Economics and Political Science, LSE Library.
  • V A Hajivassiliou, 2019. "Estimation and Specification Testing of Panel Data Models with Non-Ignorable Persistent Heterogeneity, Contemporaneous and Intertemporal Simultaneity, and Observable and Unobservable Dynamics," STICERD - Econometrics Paper Series 609, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• V A Hajivassiliou, 2019. "Switching Regressions with Imperfect Regime Classification Information: Theory and Applications," STICERD - Econometrics Paper Series 610, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• Elisabeth Christen & Michael Pfaffermayr & Yvonne Wolfmayr, 2019. "Trade Costs in Services. Firm Survival, Firm Growth and Implied Changes in Employment," WIFO Working Papers 593, WIFO.
  • Elisabeth Christen & Michael Pfaffermayr & Yvonne Wolfmayr, 2019. "Trade Costs in Services: Firm Survival, Firm Growth and Implied Changes in Employment," CESifo Working Paper Series 8008, CESifo.
• Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
  • Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
  • Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
  • Advani, Arun & Kitagawa, Toru & Słoczyński, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," The Warwick Economics Research Paper Series (TWERPS) 1192, University of Warwick, Department of Economics.
• Morales González, Kenkin & Manjarrés de Ávila, William & Cruz Almanza, Sadan de la, 2019. "Evaluación del Servicio Público de Empleo: sus efectos en la inserción laboral formal en el Área Metropolitana de Barranquilla, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 91, pages 211-239, July.
• Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
  • Monschang, Verena & Wilfling, Bernd, 2019. "Sup-ADF-style bubble detection methods under test," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203568, Verein für Socialpolitik / German Economic Association.
  • Verena Monschang & Bernd Wilfling, 2019. "Sup-ADF-style bubble-detection methods under test," CQE Working Papers 7819, Center for Quantitative Economics (CQE), University of Muenster.
• Guillaume MAROIS & Patrick SABOURIN & Alain BÉLANGER, 2019. "Forecasting Human Capital of EU Member Countries Accounting for Sociocultural Determinants," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 85(3), pages 231-269, September.
• Xiao, Weilin & Yu, Jun, 2019. "Asymptotic Theory For Estimating Drift Parameters In The Fractional Vasicek Model," Econometric Theory, Cambridge University Press, vol. 35(1), pages 198-231, February.
  • Xiao, Weilin & Yu, Jun, 2017. "Asymptotic Theory for Estimating Drift Parameters in the Fractional Vasicek Model," Economics and Statistics Working Papers 8-2017, Singapore Management University, School of Economics.
• Kyriacou, Maria & Phillips, Peter C.B. & Rossi, Francesca, 2023. "Continuously Updated Indirect Inference In Heteroskedastic Spatial Models," Econometric Theory, Cambridge University Press, vol. 39(1), pages 107-145, February.
  • Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Working Papers 15/2019, University of Verona, Department of Economics.
  • Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Cowles Foundation Discussion Papers 2208, Cowles Foundation for Research in Economics, Yale University.
• Jessica Bracco, Leonardo Gasparini, Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 65, pages 69-124, January-D.
  • Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 65, pages 69-124, January-D.
  • Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," CEDLAS, Working Papers 0245, CEDLAS, Universidad Nacional de La Plata.
• Julia Bellenbaum & Benjamin Böcker & Thomas Kallabis & Christoph Weber, 2019. "Probabilistic methodology for adequacy assessment under uncertainty for a multi-region system," EWL Working Papers 1912, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Dec 2019.
• Chin-Sheng Huang & Yi-Sheng Liu, 2019. "Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 189-201.
• Sirilius Seran, 2019. "Social Economic Status to the Number of Life Expectancy," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 166-171.
• Nidhi Malhotra & Saumya Gupta, 2019. "Volatility Spillovers and Correlation Between Cryptocurrencies and Asian Equity Market," International Journal of Economics and Financial Issues, Econjournals, vol. 9(6), pages 208-215.
• Groll, Andreas & Hambuckers, Julien & Kneib, Thomas & Umlauf, Nikolaus, 2019. "LASSO-type penalization in the framework of generalized additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, vol. 140(C), pages 59-73.
  • Andreas Groll & Julien Hambuckers & Thomas Kneib & Nikolaus Umlauf, 2018. "LASSO-Type Penalization in the Framework of Generalized Additive Models for Location, Scale and Shape," Working Papers 2018-16, Faculty of Economics and Statistics, Universität Innsbruck.
• Lee, Junsoo & Tieslau, Margie, 2019. "Panel LM unit root tests with level and trend shifts," Economic Modelling, Elsevier, vol. 80(C), pages 1-10.
• Ji, Jingru & Wang, Donghua & Xu, Dinghai, 2019. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Economic Modelling, Elsevier, vol. 80(C), pages 383-391.
  • Dinghai Xu & Jingru Ji & Donghua Wang, 2018. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Working Papers 1806, University of Waterloo, Department of Economics, revised 09 Jan 2018.
• Fasolo, Angelo Marsiglia, 2019. "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
  • Angelo Marsiglia Fasolo, 2018. "Monetary Policy Volatility Shocks in Brazil," Working Papers Series 480, Central Bank of Brazil, Research Department.
• Xiao, Weilin & Yu, Jun, 2019. "Asymptotic theory for rough fractional Vasicek models," Economics Letters, Elsevier, vol. 177(C), pages 26-29.
  • Xiao, Weilin & Yu, Jun, 2018. "Asymptotic Theory for Rough Fractional Vasicek Models," Economics and Statistics Working Papers 7-2018, Singapore Management University, School of Economics.
• Cheng, Tingting & Gao, Jiti & Yan, Yayi, 2019. "Regime switching panel data models with interactive fixed effects," Economics Letters, Elsevier, vol. 177(C), pages 47-51.
  • Tingting Cheng & Jiti Gao & Yayi Yan, 2018. "Regime switching panel data models with interative fixed effects," Monash Econometrics and Business Statistics Working Papers 21/18, Monash University, Department of Econometrics and Business Statistics.
• Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy, 2019. "Time-varying impact of uncertainty shocks on the US housing market," Economics Letters, Elsevier, vol. 180(C), pages 15-20.
  • Christina Christou & Rangan Gupta & Wendy Nyakabawo, 2018. "Time-Varying Impact of Uncertainty Shocks on the US Housing Market," Working Papers 201870, University of Pretoria, Department of Economics.
• Yao, Xingzhi & Izzeldin, Marwan & Li, Zhenxiong, 2019. "Modelling systems with a mixture of I(d) and I(0) variables using the fractionally co-integrated VAR model," Economics Letters, Elsevier, vol. 181(C), pages 160-163.
• Mykland, Per A. & Zhang, Lan & Chen, Dachuan, 2019. "The algebra of two scales estimation, and the S-TSRV: High frequency estimation that is robust to sampling times," Journal of Econometrics, Elsevier, vol. 208(1), pages 101-119.
• Richard, Patrick, 2019. "Residual bootstrap tests in linear models with many regressors," Journal of Econometrics, Elsevier, vol. 208(2), pages 367-394.
• McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
• Herbst, Edward & Schorfheide, Frank, 2019. "Tempered particle filtering," Journal of Econometrics, Elsevier, vol. 210(1), pages 26-44.
  • Edward P. Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," Finance and Economics Discussion Series 2016-072, Board of Governors of the Federal Reserve System (U.S.).
  • Edward Herbst & Frank Schorfheide, 2016. "Tempered Particle Filtering," PIER Working Paper Archive 16-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Oct 2016.
  • Edward Herbst & Frank Schorfheide, 2017. "Tempered Particle Filtering," NBER Working Papers 23448, National Bureau of Economic Research, Inc.
• Bianchi, Daniele & Billio, Monica & Casarin, Roberto & Guidolin, Massimo, 2019. "Modeling systemic risk with Markov Switching Graphical SUR models," Journal of Econometrics, Elsevier, vol. 210(1), pages 58-74.
  • Daniele Bianchi & Monica Billio & Roberto Casarin & Massimo Guidolin, 2018. "Modeling Systemic Risk with Markov Switching Graphical SUR Models," Working Papers 626, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Chen, Qihui & Fang, Zheng, 2019. "Inference on functionals under first order degeneracy," Journal of Econometrics, Elsevier, vol. 210(2), pages 459-481.
• Guo, Shaojun & Li, Dong & Li, Muyi, 2019. "Strict stationarity testing and GLAD estimation of double autoregressive models," Journal of Econometrics, Elsevier, vol. 211(2), pages 319-337.
• Bergamelli, Michele & Bianchi, Annamaria & Khalaf, Lynda & Urga, Giovanni, 2019. "Combining p-values to test for multiple structural breaks in cointegrated regressions," Journal of Econometrics, Elsevier, vol. 211(2), pages 461-482.
• Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
• Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
  • Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
  • Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
• Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019. "Indirect inference with a non-smooth criterion function," Journal of Econometrics, Elsevier, vol. 212(2), pages 623-645.
  • David T. Frazier & Tatsushi Oka & Dan Zhu, 2017. "Indirect Inference with a Non-Smooth Criterion Function," Papers 1708.02365, arXiv.org, revised Jul 2019.
• Boldea, Otilia & Cornea-Madeira, Adriana & Hall, Alastair R., 2019. "Bootstrapping structural change tests," Journal of Econometrics, Elsevier, vol. 213(2), pages 359-397.
  • Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2017. "Bootstrapping Structural Change Tests," Economics Discussion Paper Series 1704, Economics, The University of Manchester.
  • Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.
• Liu, Tuo & Lee, Lung-fei, 2019. "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, vol. 213(2), pages 434-458.
• Beare, Brendan K. & Shi, Xiaoxia, 2019. "An improved bootstrap test of density ratio ordering," Econometrics and Statistics, Elsevier, vol. 10(C), pages 9-26.
  • beare, brendan & shi, xiaoxia, 2015. "An improved bootstrap test of density ratio ordering," MPRA Paper 74772, University Library of Munich, Germany.
• Al-Sadoon, Majid M., 2019. "Testing subspace Granger causality," Econometrics and Statistics, Elsevier, vol. 9(C), pages 42-61.
  • Majid M. Al-Sadoon, 2015. "Testing subspace Granger causality," Economics Working Papers 1495, Department of Economics and Business, Universitat Pompeu Fabra.
  • Majid M. Al-Sadoon, 2016. "Testing Subspace Granger Causality," Working Papers 850, Barcelona School of Economics.
• Galuščák, Kamil & Kátay, Gábor, 2019. "Tax-benefit systems and differences in aggregate labour force participation: Comparative evidence from the Czech Republic and Hungary," Economic Systems, Elsevier, vol. 43(3).
• Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
  • Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
• Yan, Cheng & Cheng, Tingting, 2019. "In search of the optimal number of fund subgroups," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 78-92.
• Al-Zoubi, Haitham A., 2019. "Bond and option prices with permanent shocks," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 272-290.
• Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019. "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, vol. 84(C).
• Lin, Yuehao & Lehnert, Thorsten & Wolff, Christian, 2019. "Skewness risk premium: Theory and empirical evidence," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 174-185.
  • Wolff, Christian & Lehnert, Thorsten & Lin, Yuehao, 2013. "Skewness Risk Premium: Theory and Empirical Evidence," CEPR Discussion Papers 9349, C.E.P.R. Discussion Papers.
  • Christian Wolff & Thorsten Lehnert & Yuehao Lin, 2014. "Skewness Risk Premium: Theory and Empirical Evidence," LSF Research Working Paper Series 14-05, Luxembourg School of Finance, University of Luxembourg.
• Philippas, Dionisis & Rjiba, Hatem & Guesmi, Khaled & Goutte, Stéphane, 2019. "Media attention and Bitcoin prices," Finance Research Letters, Elsevier, vol. 30(C), pages 37-43.
  • Dionisis Philippas & Hatem Rjiba & Khaled Guesmi & Stéphane Goutte, 2019. "Media attention and Bitcoin prices," Post-Print halshs-02148912, HAL.
• Bezemer, Dirk & Zhang, Lu, 2019. "Credit composition and the severity of post-crisis recessions," Journal of Financial Stability, Elsevier, vol. 42(C), pages 52-66.
• Parrado-Martínez, Purificación & Gómez-Fernández-Aguado, Pilar & Partal-Ureña, Antonio, 2019. "Factors influencing the European bank’s probability of default: An application of SYMBOL methodology," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 223-240.
• O’Hara, Michael, 2019. "Teaching hypothesis testing with simulated distributions," International Review of Economics Education, Elsevier, vol. 30(C), pages 1-1.
• Lazar, Emese & Zhang, Ning, 2019. "Model risk of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 74-93.
• Wegener, Christoph & Kruse, Robinson & Basse, Tobias, 2019. "The walking debt crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 382-402.
  • Tobias Basse & Robinson Kruse & Christoph Wegener, 2017. "The Walking Debt Crisis," CREATES Research Papers 2017-06, Department of Economics and Business Economics, Aarhus University.
• Carson, Richard T. & Czajkowski, Mikołaj, 2019. "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 57-61.
  • Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.
• Kilgarriff, Paul & Charlton, Martin & Foley, Ronan & O'Donoghue, Cathal, 2019. "The impact of housing consumption value on the spatial distribution of welfare," Journal of Housing Economics, Elsevier, vol. 43(C), pages 118-130.
• Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019. "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 197-218.
• Seip, Knut L., 2019. "Does tax reduction have an effect on gross domestic product? An empirical investigation," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1128-1143.
• Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
• Kosc, Krzysztof & Sakowski, Paweł & Ślepaczuk, Robert, 2019. "Momentum and contrarian effects on the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 691-701.
  • Krzysztof Kość & Paweł Sakowski & Robert Ślepaczuk, 2018. "Momentum and contrarian effects on the cryptocurrency market," Working Papers 2018-09, Faculty of Economic Sciences, University of Warsaw.
• Sun, Chao & Wang, Chao & Lai, Weike, 2019. "Gait analysis and recognition prediction of the human skeleton based on migration learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C), pages 1-1.
• Rathgeber, A.W. & Stadler, J. & Stöckl, S., 2019. "Financial modelling applying multivariate Lévy processes: New insights into estimation and simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
• He, Yi & Wu, Shan & Tong, Mu, 2019. "Systemic risk and liquidity rescue in complex financial networks: Pit hole and black hole of liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
• Landini, S. & Uberti, M. & Casellina, S., 2019. "Credit risk migration rates modelling as open systems II: A simulation model and IFRS9-baseline principles," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 175-189.
• V A Hajivassiliou & Frédérique Savignac & Frédérique Savignac, 2019. "Novel Approaches to Coherency Conditions in Dynamic LDV Models: Quantifying Financing Constraints and a Firm's Decision and Ability to Innovate," STICERD - Econometrics Paper Series 606, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  • Hajivassiliou, Vassilis & Savignac, Frédérique, 2019. "Novel approaches to coherency conditions in dynamic LDV models: quantifying financing constraints and a firm's decision and ability to innovate," LSE Research Online Documents on Economics 102544, London School of Economics and Political Science, LSE Library.
• V A Hajivassiliou, 2019. "Estimation and Specification Testing of Panel Data Models with Non-Ignorable Persistent Heterogeneity, Contemporaneous and Intertemporal Simultaneity, and Observable and Unobservable Dynamics," STICERD - Econometrics Paper Series 609, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  • Hajivassiliou, Vassilis, 2019. "Estimation and specification testing of panel data models with non-ignorable persistent heterogeneity, contemporaneous and intertemporal simultaneity and observable and unobservable dynamics," LSE Research Online Documents on Economics 102843, London School of Economics and Political Science, LSE Library.
• V A Hajivassiliou, 2019. "Switching Regressions with Imperfect Regime Classification Information: Theory and Applications," STICERD - Econometrics Paper Series 610, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  • Hajivassiliou, Vassilis, 2019. "Switching regressions with imperfect regime classification information: theory and applications," LSE Research Online Documents on Economics 103119, London School of Economics and Political Science, LSE Library.
• Franco Peracchi & Claudio Rossetti, 2022. "A nonlinear dynamic factor model of health and medical treatment," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1046-1066, June.
  • Franco Peracchi & Claudio Rossetti, 2019. "A Nonlinear Dynamic Factor Model of Health and Medical Treatment," CSEF Working Papers 524, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Franco Peracchi & Claudio Rossetti, 2019. "A nonlinear dynamic factor model of health and medical treatment," EIEF Working Papers Series 1901, Einaudi Institute for Economics and Finance (EIEF), revised Feb 2019.
• Jorge Miguel Bravo, 2019. "Funding for longer lives. Retirement wallet and risk-sharing annuities," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 96(02), pages 268-291.
• Md. Nazmul Ahsan & Jean-Marie Dufour, 2019. "A Simple Efficient Moment-based Estimator for the Stochastic Volatility Model," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 157-201, Emerald Group Publishing Limited.
• Bayuk O.A. & Denezhkina I.E. & Zadadaev S.A., 2019. "Visualization of the Decision Criteria in Testing Statistical Hypotheses on Programming in R (Rstudio)," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 2), pages 289-296.
• Gazaryan V.A. & Guryanova I.E. & Melekhina T.L., 2019. "Statistical Models and the Theory of Hypothesis Testing in Medicine," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 2), pages 334-342.
• Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
  • Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
• Jiri Witzany & Milan Ficura, 2019. "Sequential Gibbs Particle Filter Algorithm with Applications to Stochastic Volatility and Jumps Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(5), pages 463-488, October.
• Luca Farnia, 2019. "On the Use of Spectral Value Decomposition for the Construction of Composite Indices," Working Papers 2019.08, Fondazione Eni Enrico Mattei.
• Imad Chahboun & Nathaniel Hoover, 2019. "Variable Annuities: Underlying Risks and Sensitivities," Supervisory Research and Analysis Working Papers RPA 19-1, Federal Reserve Bank of Boston.
• Edward S. Knotek, 2010. "The roles of price points and menu costs in price rigidity," Research Working Paper RWP 10-18, Federal Reserve Bank of Kansas City.
  • Edward S. Knotek, 2019. "The Roles of Price Points and Menu Costs in Price Rigidity," Working Papers 19-23, Federal Reserve Bank of Cleveland.
  • Edward Knotek II, 2016. "The Roles of Price Points and Menu Costs in Price Rigidity," 2016 Meeting Papers 1563, Society for Economic Dynamics.
• Han Hong & Huiyu Li & Jessie Li, 2019. "BLP Estimation Using Laplace Transformation and Overlapping Simulation Draws," Working Paper Series 2019-24, Federal Reserve Bank of San Francisco.
• Richard K. Crump & Nikolay Gospodinov, 2019. "Deconstructing the yield curve," Staff Reports 884, Federal Reserve Bank of New York.
• Ion Stancu & Dragoş Haşeganu & Alexandra Darmaz-Guzun, 2019. "Proiecții privind sustenabilitatea sistemului de pensii în România," Journal of Financial Studies, Institute of Financial Studies, vol. 6(4), pages 50-67, June.
• Ion Stancu & Dragos Haseganu & Alexandra Darmaz-Guzun, 2019. "Projections on the sustainability of the pension system in Romania," Scientific Papers 0028, Institute of Financial Studies.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-29, January.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 10, pages 1-29, October.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 11, pages 1-29, November.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 12, pages 1-28, December.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-28, August.
• Turuntseva Marina & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-28, April.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-28, May.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-28, September.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-28, June.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-29, July.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-29, July.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 8, pages 1-29, August.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-29, August.
• Astafieva Ekaterina & Drobyshevsky Sergey & Idrisov Georgy & Kaukin Andrey & Zyamalov Vadim & Miller Evgenia & Pavlov Pavel & Sinelnikov-Murylev Sergey & Turuntseva Marina, 2019. "Approaches to Modeling Selected Macroeconomic Indicators," Research Paper Series, Gaidar Institute for Economic Policy, issue 179P, pages 307-307.
• Ana Margarida Monteiro & António Alberto Ferreira Santos, 2019. "Kernel density estimation using local cubic polynomials through option prices applied to intraday data," CeBER Working Papers 2019-02, Centre for Business and Economics Research (CeBER), University of Coimbra.
• Rachidi Kotchoni & Marine Carrasco, 2019. "The Continuum-GMM Estimation: Theory and Application," Post-Print hal-02435760, HAL.
• Philippas, Dionisis & Rjiba, Hatem & Guesmi, Khaled & Goutte, Stéphane, 2019. "Media attention and Bitcoin prices," Finance Research Letters, Elsevier, vol. 30(C), pages 37-43.
  • Dionisis Philippas & Hatem Rjiba & Khaled Guesmi & Stéphane Goutte, 2019. "Media attention and Bitcoin prices," Post-Print halshs-02148912, HAL.
• Mazur, Stepan & Otryakhin, Dmitry, 2019. "Linear Fractional Stable Motion with the RLFSM R Package," Working Papers 2019:9, Örebro University, School of Business.
• Gunawan, David & Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc, 2019. "Subsampling Sequential Monte Carlo for Static Bayesian Models," Working Paper Series 371, Sveriges Riksbank (Central Bank of Sweden).
• Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019. "Hamiltonian Monte Carlo with Energy Conserving Subsampling," Working Paper Series 372, Sveriges Riksbank (Central Bank of Sweden).
• Boris Sokolov, 2019. "Sensitivity Of Goodness Of Fit Indices To Lack Of Measurement Invariance With Categorical Indicators And Many Groups," HSE Working papers WP BRP 86/SOC/2019, National Research University Higher School of Economics.
• Mario Aceves Mejia & Rufina Georgina Hernandez Contreras & Luis Alejandro Louvier Hernandez & Jose Francisco Tenorio Martinez & Cesar Daniel Nolasco Perez, 2019. "Impulse-Response Relationship Between Economic Growth And Sectorial Stock Market Dynamic, Mexico 1998-2018 Relacion Impulso-Respuesta Entre Crecimiento Economico Y Dinamica Bursatil Sectorial, Mexico ," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 12(1), pages 21-40.
• Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
• Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
  • Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
• Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
  • Paulo M.D.C. Parente & Richard J. Smith, 2018. "Quasi-Maximum Likelihood and the Kernel Block Bootstrap for Nonlinear Dynamic Models," Working Papers REM 2018/59, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  • Paulo Parente & Richard J. Smith, 2019. "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers CWP60/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Maria Jouste & Pia Rattenhuber, 2019. "A Role for Universal Pension? Simulating Universal Pensions in Ecuador, Ghana, Tanzania and South Africa," International Journal of Microsimulation, International Microsimulation Association, vol. 12(1), pages 13-51.
• Sven Schreiber, 2019. "On (bootstrapped) cointegration tests in partial systems," IMK Working Paper 199-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
• Araceli Matías González & María Teresa Verónica Martínez-Palacios & Ambrosio Ortiz-Ramírez, 2019. "Consumo e inversión óptimos y valuación de opciones asiáticas en un entorno estocástico con fundamentos microeconómicos y simulación Monte Carlo," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(3), pages 397-414, Julio - S.
• Dang,Hai-Anh H. & Lokshin,Michael M. & Abanokova,Ksenia & Bussolo,Maurizio, 2018. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," Policy Research Working Paper Series 8629, The World Bank.
  • Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2019. "Inequality and welfare dynamics in the Russian Federation during 1994-2015," Working Papers 484, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh H. & Lokshin, Michael M. & Abanokova, Kseniya & Bussolo, Maurizio, 2019. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," GLO Discussion Paper Series 297, Global Labor Organization (GLO).
• Hai-Anh H. Dang, 2019. "To impute or not to impute, and how? A review of alternative poverty estimation methods in the context of unavailable consumption data," Working Papers 507, ECINEQ, Society for the Study of Economic Inequality.
• Dang, Hai-Anh H. & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," GLO Discussion Paper Series 429, Global Labor Organization (GLO).
  • Dang, Hai-Anh & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," IZA Discussion Papers 12822, Institute of Labor Economics (IZA).
  • Dang,Hai-Anh H. & Verme,Paolo, 2019. "Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity ?," Policy Research Working Paper Series 9076, The World Bank.
• Damian Clarke & Joseph P. Romano & Michael Wolf, 2020. "The Romano–Wolf multiple-hypothesis correction in Stata," Stata Journal, StataCorp LP, vol. 20(4), pages 812-843, December.
  • Clarke, Damian & Romano, Joseph P. & Wolf, Michael, 2019. "The Romano-Wolf Multiple Hypothesis Correction in Stata," IZA Discussion Papers 12845, Institute of Labor Economics (IZA).
• Christoph Strumann, 2019. "Hodges–Lehmann Estimation of Static Panel Models with Spatially Correlated Disturbances," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 141-168, January.
• Konon, Alexander & Kritikos, Alexander S., 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(1), pages 1-20.
  • Alexander Konon & Alexander S. Kritikos, 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," Small Business Economics, Springer, vol. 53(1), pages 1-20, June.
  • Alexander Konon & Alexander Kritikos, 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," Discussion Papers of DIW Berlin 1763, DIW Berlin, German Institute for Economic Research.
  • Konon, Alexander & Kritikos, Alexander S., 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," IZA Discussion Papers 11880, Institute of Labor Economics (IZA).
• Juhász, Péter & Száz, János & Misik, Sándor, 2019. "Ellátási láncok versenyképessége és finanszírozása - gondolatok az optimumról [Competitiveness and finance of supply: thinking about the optimum]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 53-71.
• Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 65, pages 69-124, January-D.
  • Jessica Bracco, Leonardo Gasparini, Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 65, pages 69-124, January-D.
  • Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," CEDLAS, Working Papers 0245, CEDLAS, Universidad Nacional de La Plata.
• Kenkin Morales-González & William Manjarrés de Ávila & Sadan de la Cruz Almanza, 2019. "Assessing the Employment Public Service: its effects on formal labour insertion in the metropolitan area of Barranquilla, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 91, pages 211-239, Julio - D.
• Nusrat Fatema, 2019. "Women Empowerment or Gender Equality: Which One Should Come First for Augmenting Satisfaction and Performance of Female Employees: A study on the Ready-made Garment Sector of Bangladesh," International Journal of Business and Social Research, LAR Center Press, vol. 9(1), pages 08-21, January.
• Naimy, Viviane & Bou Zeidan, Melissa, 2019. "FORECASTING VALUE AT RISK (VAR) FOR EMERGING AND DEVELOPED MARKETS/Previsio?n del valor en riesgo (VaR) para mercados emergentes y desarrollados," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 37, pages 133-154, Septiembr.
• Giancarlo MANZI & Ahmed Alsayed, 2019. "A Simulation Study for Monotonic Dependence in the Presence of Outliers," Departmental Working Papers 2019-04, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
• Nusrat Fatema, 2019. "Women Empowerment or Gender Equality: Which One Should Come First for Augmenting Satisfaction and Performance of Female Employees: A study on the Ready-made Garment Sector of Bangladesh," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 9(1), pages 08-21, January.
• Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
  • Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2018. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," ISER Discussion Paper 1019r, Institute of Social and Economic Research, Osaka University, revised Apr 2019.
  • Milda Norkute & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2019. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," Monash Econometrics and Business Statistics Working Papers 32/19, Monash University, Department of Econometrics and Business Statistics.
• Antoine Arnoud & Fatih Guvenen & Tatjana Kleineberg, 2019. "Benchmarking Global Optimizers," NBER Working Papers 26340, National Bureau of Economic Research, Inc.
• Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
  • Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
• Kozyk Vasyl & Vorobets Stepan & Musiiovska Oksana, 2019. "Research of the place of Ukraine in implementation of the goals of the sustainable development model," Technology audit and production reserves, 3(47) 2019, Socionet;Technology audit and production reserves, vol. 3(4(47)), pages 19-27.
• Can Tongur, 2019. "Inflation Measurement with Scanner Data and an Ever-Changing Fixed Basket," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 509, pages 31-47.
• Dimitar Dimitrov & Tsvetan Tsvetkov & Georgi Penchev & Konstantin Poudin, 2019. "Tobacco Products Contraband & Counterfeit Risk Identification," Godishnik na UNSS, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 123-146, December.
• Clara De Luigi & Florian Huber & Josef Schreiner, 2019. "The impact of labor cost growth on inflation in selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/19, pages 56-78.
• Daniela Pordea & Dorel Mates, 2019. "DETERMINANTS OF ACCOUNTING CREATIVITY: EMPIRICAL ANALYSIS ON ROMANIAN SMEs IN CONSTRUCTION INDUSTRY," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 4(Special), pages 7-18, May.
• Zheng Fang & Andres Santos, 2019. "Inference on Directionally Differentiable Functions," Review of Economic Studies, Oxford University Press, vol. 86(1), pages 377-412.
• Dávila Aragón, Griselda & Ortiz Arango, Francisco, 2019. "Cálculo del Valor en Riesgo Operacional de una Empresa Aseguradora Mediante Redes Bayesianas || Calculation of Operational Value at Risk of an Insurance Company through Bayesian Networks," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 30-54, June.
• Boada, Antonio José & Mayorca, Rómulo, 2019. "Valoración estadística - financiera para medio plazo del sector bancario en países con economías emergentes. El caso de Colombia || Statistical - financial value for the medium term of the banking sec," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 28(1), pages 95-112, December.
• Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Umbral de modelos de volatilidad estocástica con colas pesadas: un enfoque bayesiano," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
• Micha³ Bernard Pietrzak, 2019. "Modifiable Areal Unit Problem: the issue of determining the relationship between microparameters and a macroparameter," Oeconomia Copernicana, Institute of Economic Research, vol. 10(3), pages 393-417, September.
• Pihnastyi, Oleh & Kozhevnikov, Georgii & Bondarenko, Tetiana, 2019. "The information controlling model transport system during transient conditions," MPRA Paper 101908, University Library of Munich, Germany, revised 11 Oct 2019.
• Asaduzzaman, Md, 2019. "FDI as an Opportunity for Economic growth of Bangladesh: A VECM Analysis," MPRA Paper 110328, University Library of Munich, Germany, revised 05 Dec 2019.
• MAO TAKONGMO, Charles Olivier, 2019. "Keynesian Models, Detrending, and the Method of Moments," MPRA Paper 91709, University Library of Munich, Germany.
• Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos & Touche, Nassim, 2019. "Integer-valued stochastic volatility," MPRA Paper 91962, University Library of Munich, Germany, revised 04 Feb 2019.
• Pihnastyi, Oleh, 2019. "Optimal Control of the Parameters of the Production Line," MPRA Paper 92495, University Library of Munich, Germany, revised 02 Feb 2019.
• Пигнастый, Олег & Koжевников, Георгий, 2019. "Распределенная Динамическая Pde-Модель Программного Управления Загрузкой Технологического Оборудования Производственной Линии [Distributed dynamic PDE-model of a program control by utilization of t," MPRA Paper 93278, University Library of Munich, Germany, revised 02 Feb 2019.
• Mnasri, Ayman & Nechi, Salem, 2019. "New Approach to Estimating Gravity Models with Heteroscedasticity and Zero Trade Values," MPRA Paper 93426, University Library of Munich, Germany.
• Kounetas, Konstantinos & Polemis, Michael & Tzeremes, Nickolaos, 2019. "An alternative probabilistic frontier analysis to the measurement of eco-efficiency," MPRA Paper 93686, University Library of Munich, Germany.
• Shah, Syed Sibghatullah, 2019. "On Trust Dynamics of Economic Growth," MPRA Paper 94095, University Library of Munich, Germany, revised 30 May 2019.
• Pellecchia, Marco & Perciaccante, Giovambattista, 2019. "The calculation of Solvency Capital Requirement using Copulas," MPRA Paper 94213, University Library of Munich, Germany.
• Dmitriy, Skrypnik & Marina, Shakleina, 2019. "Counter sanctions and well-being population of Russia: econometric analyses," MPRA Paper 94478, University Library of Munich, Germany.
• Пигнастый, Олег & Koжевников, Георгий, 2019. "Дискретно-Событийная Модель Расчета Продолжительного Производственного Цикла Изготовления Партии Деталей [Discrete-Eventing Model Of Calculation Of The Duration Of The Production Cycle Of Manufactu," MPRA Paper 94898, University Library of Munich, Germany, revised 02 Jul 2019.
• Pihnastyi, Oleh & Khodusov, Valery, 2019. "The optimal control problem for output material flow on a conveyor belt with input accumulating bunker," MPRA Paper 95928, University Library of Munich, Germany, revised 07 Jan 2019.
• Riveros Gavilanes, John Michael, 2019. "Low sample size and regression: A Monte Carlo approach," MPRA Paper 97017, University Library of Munich, Germany.
• Khodusov, Valery & Pihnastyi, Oleh, 2019. "The statement of the task of optimal control of the production line using the additional time of equipment operation," MPRA Paper 97076, University Library of Munich, Germany, revised 10 Sep 2019.
• Muratova, Anna & Islam, Robiul & Mitrofanova, Ekaterina S. & Ignatov, Dmitry I., 2019. "Searching for Interpretable Demographic Patterns," MPRA Paper 97305, University Library of Munich, Germany, revised 23 Sep 2019.
• Muteba Mwamba, John Weirstrass & Mhlophe, Bongani, 2019. "Modelling Asset Correlations of Revolving Loan Defaults in South Africa," MPRA Paper 97340, University Library of Munich, Germany.
• Jan Hrevuš & Luboš Marek, 2019. "Exposure Modelling in Property Reinsurance," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(2), pages 129-154.
• Manveer Kaur Mangat & Erhard Reschenhofer, 2019. "Testing for Long-Range Dependence in Financial Time Series," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(2), pages 93-106, June.
• James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
  • James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
• James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
• Alejandro Mosino & Laura Andrea Salomon-Nunez & Alejandro Tatsuo Moreno-Okuno, 2019. "Estudio empirico sobre el tipo de cambio MXN/USD movimiento browniano geometrico versus proceso varianza-gamma," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 16(1), pages 33-56, Enero-Jun.
• Yoshino, Naoyuki & Gupta, Prachi, 2019. "How to Avoid Household Debt Overhang? An Analytical Framework and Analysis for India," ADBI Working Papers 975, Asian Development Bank Institute.
• Lee, Hojin, 2019. "Data-Mining Bootstrap Procedure with Potential Predictors in Forecasting Models: Evidence from Eight Countries in the Asia-Pacific Stock Markets," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 23(4), pages 333-351, December.
• Goldoost, Mohammad Jalal & Najafizadeh, Seyed Abbas & fakhrhosseini, Seyed Fakhreddin & Sarlak, Ahamad, 2019. "Resilience of macroeconomic variables of the Iranian economy against monetary policy shock based on the DSGE mode," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 6(2), pages 1-28, August.
• Xu, Yuhong & Yang, Zhenlin, 2019. "Specification Tests for Temporal Heterogeneity in Spatial Panel Models with Fixed Effects," Economics and Statistics Working Papers 5-2019, Singapore Management University, School of Economics.
• Katsuto Tanaka & Weilin Xiao & Jun Yu, 2020. "Maximum Likelihood Estimation for the Fractional Vasicek Model," Econometrics, MDPI, vol. 8(3), pages 1-28, August.
  • Tanaka, Katsuto & Xiao, Weilin & Yu, Jun, 2019. "Maximum Likelihood Estimation for the Fractional Vasicek Model," Economics and Statistics Working Papers 8-2019, Singapore Management University, School of Economics.
• Wang, Xiaohu & Xiao, Weilin & Yu, Jun, 2019. "Estimation and Inference of Fractional Continuous-Time Model with Discrete-Sampled Data," Economics and Statistics Working Papers 17-2019, Singapore Management University, School of Economics.
• Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
  • van Hasselt, Martijn & Bollinger, Christopher & Bray, Jeremy, 2019. "A Bayesian Approach to Account for Misclassification in Prevalence and Trend Estimation," UNCG Economics Working Papers 19-13, University of North Carolina at Greensboro, Department of Economics.
• Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
• Franco Peracchi & Claudio Rossetti, 2022. "A nonlinear dynamic factor model of health and medical treatment," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1046-1066, June.
  • Franco Peracchi & Claudio Rossetti, 2019. "A nonlinear dynamic factor model of health and medical treatment," EIEF Working Papers Series 1901, Einaudi Institute for Economics and Finance (EIEF), revised Feb 2019.
  • Franco Peracchi & Claudio Rossetti, 2019. "A Nonlinear Dynamic Factor Model of Health and Medical Treatment," CSEF Working Papers 524, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
• Sandra Obiora & Yong Zeng, 2019. "Factors Affecting the Adoption of Alternative Financing Methods for Startups by Africans in China," Proceedings of International Academic Conferences 9010883, International Institute of Social and Economic Sciences.
• Ali Bendob & Naima Bentouir, 2019. "Options Pricing by Monte Carlo Simulation, Binomial Tree and BMS Model: a comparative study of Nifty50 options index," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(11), pages 79-95, January.
• Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2019. "Computation of the corrected Cornish–Fisher expansion using the response surface methodology: application to VaR and CVaR," Annals of Operations Research, Springer, vol. 281(1), pages 423-453, October.
  • Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2017. "Computation of the Corrected Cornish-Fisher Expansion using the Response Surface Methodology: Application to V aR and CV aR," THEMA Working Papers 2017-21, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
• Thorsten Lehnert, 2019. "Big moves of mutual funds," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-27, March.
• Christina C. Bartenschlager & Jens O. Brunner, 2019. "Reaching for the stars: attention to multiple testing problems and method recommendations using simulation for business research," Journal of Business Economics, Springer, vol. 89(4), pages 447-479, June.
• Abdelkader Derbali & Lamia Jamel, 2019. "Dependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Case of Greek Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 711-733, June.
  • Abdelkader Derbali & Lamia Jamel, 2018. "Dependence of default probability and recovery rate in structural credit risk models: Case of Greek banks," Post-Print hal-01695998, HAL.
• Nisar Ahmad & Michael Svarer & Amjad Naveed, 2019. "The Effect of Active Labour Market Programmes and Benefit Sanctions on Reducing Unemployment Duration," Journal of Labor Research, Springer, vol. 40(2), pages 202-229, June.
• Lisa Crosato & Luigi Grossi, 2019. "Correcting outliers in GARCH models: a weighted forward approach," Statistical Papers, Springer, vol. 60(6), pages 1939-1970, December.
• Sayabek Ziyadin & Nataliya Shash & Tatyana Levchenko & Saltanat Khudaibergenova & Gulmira Yessenova, 2019. "Modeling of resultant effects in assessment of innovative activity of the hotel organizations," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2180-2193, June.
• Irina Maslova & Boris Maslov & Irina Korostelkina & Liudmila Popova, 2019. "Model of statistical economic profile of innovative biomedical product value formation and update," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 471-483, September.
• Yamin Ahmad & Ming Chien Lo & Olena Staveley-O’Carroll, 2019. "Nonlinearities in the real exchange rates: new evidence from developed and developing countries," Applied Economics, Taylor & Francis Journals, vol. 51(25), pages 2731-2743, May.
• Firat Bilgel & Burhan Can Karahasan, 2019. "Thirty Years of Conflict and Economic Growth in Turkey: A Synthetic Control Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(5), pages 609-631, July.
  • Fırat Bilgel & Burhan Can Karahasan, 2016. "Thirty Years of Conflict and Economic Growth in Turkey: A Synthetic Control Approach," LEQS – LSE 'Europe in Question' Discussion Paper Series 112, European Institute, LSE.
• Zacharias Psaradakis & Marián Vávra, 2019. "Portmanteau tests for linearity of stationary time series," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 248-262, February.
  • Marian Vavra, 2012. "Testing Non-linearity Using a Modified Q Test," Birkbeck Working Papers in Economics and Finance 1204, Birkbeck, Department of Economics, Mathematics & Statistics.
  • Zacharias Psaradakis & Marian Vavra, 2016. "Portmanteau Tests for Linearity of Stationary Time Series," Working and Discussion Papers WP 1/2016, Research Department, National Bank of Slovakia.
  • Zacharias Psaradakis & Marián Vávra, 2015. "Portmanteau Tests for Linearity of Stationary Time Series," Birkbeck Working Papers in Economics and Finance 1514, Birkbeck, Department of Economics, Mathematics & Statistics.
• Sven Schreiber, 2019. "The estimation uncertainty of permanent-transitory decompositions in co-integrated systems," Econometric Reviews, Taylor & Francis Journals, vol. 38(3), pages 279-300, March.
  • Sven Schreiber, 2011. "The estimation uncertainty of permanent-transitory decompositions in cointegrated systems," IMK Working Paper 3-2011, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
  • Schreiber, Sven, 2014. "The estimation uncertainty of permanent-transitory decompositions in co-integrated systems," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100582, Verein für Socialpolitik / German Economic Association.
• Andrés Ramírez Hassan & Santiago Montoya Blandón, 2019. "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Econometric Reviews, Taylor & Francis Journals, vol. 38(3), pages 301-318, March.
  • Andr´es Ramírez Hassan & Santiago Montoya Blandón, 2015. "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Documentos de Trabajo CIEF 13678, Universidad EAFIT.
• Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.
  • Arnaud Dufays & Jeroen V.K. Rombouts, 2016. "Sparse Change-point HAR Models for Realized Variance," Cahiers de recherche 1607, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
• Stephan Smeekes & Joakim Westerlund, 2019. "Robust block bootstrap panel predictability tests," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1089-1107, October.
  • Westerlund, J. & Smeekes, S., 2013. "Robust block bootstrap panel predictability tests," Research Memorandum 060, Maastricht University, Graduate School of Business and Economics (GSBE).
• Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019. "Speeding Up MCMC by Efficient Data Subsampling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 831-843, April.
  • Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015. "Speeding Up Mcmc By Efficient Data Subsampling," Working Paper Series 297, Sveriges Riksbank (Central Bank of Sweden).
  • Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016. "Speeding up MCMC by Efficient Data Subsampling," Working Papers 2123/16205, University of Sydney Business School, Discipline of Business Analytics.
• Tingting Cheng & Jiti Gao & Xibin Zhang, 2019. "Bayesian Bandwidth Estimation in Nonparametric Time-Varying Coefficient Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 1-12, January.
  • Tingting Cheng & Jiti Gao & Xibin Zhang, 2015. "Bayesian Bandwidth Estimation In Nonparametric Time-Varying Coefficient Models," Monash Econometrics and Business Statistics Working Papers 3/15, Monash University, Department of Econometrics and Business Statistics.
• M. Bee & J. Hambuckers & L. Trapin, 2019. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1255-1266, August.
  • Marco Bee & Julien Hambuckers & Luca Trapin, 2018. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," DEM Working Papers 2018/08, Department of Economics and Management.
• Francisco (F.) Blasques & Marc Nientker, 2019. "Transformed Perturbation Solutions for Dynamic Stochastic General Equilibrium Models," Tinbergen Institute Discussion Papers 19-012/III, Tinbergen Institute, revised 09 Feb 2020.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2019. "Forecast density combinations with dynamic learning for large data sets in economics and finance," Working Paper 2019/7, Norges Bank.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzollo & Herman K. van Dijk, 2019. "Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 19-025/III, Tinbergen Institute.
• Kleijnen, Jack & van Beers, W.C.M., 2019. "Statistical Tests for Cross-Validation of Kriging Models," Other publications TiSEM 35fba511-2931-47d5-a9ba-3, Tilburg University, School of Economics and Management.
  • Kleijnen, Jack & van Beers, W.C.M., 2019. "Statistical Tests for Cross-Validation of Kriging Models," Discussion Paper 2019-022, Tilburg University, Center for Economic Research.
• Martin Burda & Louis Belisle, 2019. "Copula Multivariate GARCH Model with Constrained Hamiltonian Monte Carlo," Working Papers tecipa-638, University of Toronto, Department of Economics.
• Marco Bee & Julien Hambuckers & Luca Trapin, 2019. "An improved approach for estimating large losses in insurance analytics and operational risk using the g-and-h distribution," DEM Working Papers 2019/11, Department of Economics and Management.
• David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
  • David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018. "Fast And Wild: Bootstrap Inference In Stata Using Boottest," Working Paper 1406, Economics Department, Queen's University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & David Roodman & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," CREATES Research Papers 2018-34, Department of Economics and Business Economics, Aarhus University.
• Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
  • Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
• Eckhard Platen & Renata Rendek, 2019. "Dynamics of a Well-Diversified Equity Index," Research Paper Series 398, Quantitative Finance Research Centre, University of Technology, Sydney.
• Kylie-Anne Richards & William T. M. Dunsmuir & Gareth W. Peters, 2019. "Score Test for Marks in Hawkes Processes," Research Paper Series 405, Quantitative Finance Research Centre, University of Technology, Sydney.
• Kyriacou, Maria & Phillips, Peter C.B. & Rossi, Francesca, 2023. "Continuously Updated Indirect Inference In Heteroskedastic Spatial Models," Econometric Theory, Cambridge University Press, vol. 39(1), pages 107-145, February.
  • Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Cowles Foundation Discussion Papers 2208, Cowles Foundation for Research in Economics, Yale University.
  • Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019. "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Working Papers 15/2019, University of Verona, Department of Economics.
• Gričar Sergej & Baldigara Tea, 2019. "An explorative study of tourism time series: Evidence from Slovenia and Croatia," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 5(2), pages 101-116, December.
• Berezka Kateryna & Kovalchuk Olha, 2019. "Modelling Factors Connected with the Effect of International Migration for Security and Economy," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(4), pages 30-42, December.
• Mościbrodzka Monika & Homa Magdalena, 2019. "The efficiency of an investing in investment funds in the context of a longevity," Journal of Economics and Management, Sciendo, vol. 38(4), pages 107-128, December.
• Barańska Anna, 2019. "Linear and Nonlinear Weighing of Property Features," Real Estate Management and Valuation, Sciendo, vol. 27(1), pages 59-68, March.
• Ślepaczuk Robert & Zenkova Maryna, 2018. "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Central European Economic Journal, Sciendo, vol. 5(52), pages 186-205, January.
  • Maryna Zenkova & Robert Ślepaczuk, 2019. "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Working Papers 2019-02, Faculty of Economic Sciences, University of Warsaw.
• Latoszek Michał & Ślepaczuk Robert, 2020. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Economics and Business Review, Sciendo, vol. 6(1), pages 46-81, March.
  • Michał Latoszek & Robert Ślepaczuk, 2019. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers 2019-14, Faculty of Economic Sciences, University of Warsaw.
• Kamil Korzeń & Robert Ślepaczuk, 2019. "Hybrid Investment Strategy Based on Momentum and Macroeconomic Approach," Working Papers 2019-17, Faculty of Economic Sciences, University of Warsaw.
• Rodriguez Castelan,Carlos & Araar,Abdelkrim & Malasquez Carbonel,Eduardo Alonso & Olivieri,Sergio Daniel & Vishwanath,Tara, 2019. "Distributional Effects of Competition : A Simulation Approach," Policy Research Working Paper Series 8838, The World Bank.
  • Rodriguez Castelan, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Olivieri, Sergio & Vishwanath, Tara, 2021. "Distributional Effects of Competition: A Simulation Approach," IZA Discussion Papers 14043, Institute of Labor Economics (IZA).
• Dang, Hai-Anh H. & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," GLO Discussion Paper Series 429, Global Labor Organization (GLO).
  • Dang,Hai-Anh H. & Verme,Paolo, 2019. "Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity ?," Policy Research Working Paper Series 9076, The World Bank.
  • Dang, Hai-Anh & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," IZA Discussion Papers 12822, Institute of Labor Economics (IZA).
• Elisabeth Christen & Michael Pfaffermayr & Yvonne Wolfmayr, 2019. "Trade Costs in Services: Firm Survival, Firm Growth and Implied Changes in Employment," CESifo Working Paper Series 8008, CESifo.
  • Elisabeth Christen & Michael Pfaffermayr & Yvonne Wolfmayr, 2019. "Trade Costs in Services. Firm Survival, Firm Growth and Implied Changes in Employment," WIFO Working Papers 593, WIFO.
• James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
  • James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
  • James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Working Paper 1413, Economics Department, Queen's University.
• Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
  • Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
• Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
  • Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79756, Verein für Socialpolitik / German Economic Association.
  • Schwarz, Claudia & Kripfganz, Sebastian, 2015. "Estimation of linear dynamic panel data models with time-invariant regressors," Working Paper Series 1838, European Central Bank.
  • Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of linear dynamic panel data models with time-invariant regressors," Discussion Papers 25/2013, Deutsche Bundesbank.
• Alexander Konon & Alexander S. Kritikos, 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," Small Business Economics, Springer, vol. 53(1), pages 1-20, June.
  • Konon, Alexander & Kritikos, Alexander S., 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(1), pages 1-20.
  • Alexander Konon & Alexander Kritikos, 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," Discussion Papers of DIW Berlin 1763, DIW Berlin, German Institute for Economic Research.
  • Konon, Alexander & Kritikos, Alexander S., 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," IZA Discussion Papers 11880, Institute of Labor Economics (IZA).
• Dang,Hai-Anh H. & Lokshin,Michael M. & Abanokova,Ksenia & Bussolo,Maurizio, 2018. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," Policy Research Working Paper Series 8629, The World Bank.
  • Dang, Hai-Anh H. & Lokshin, Michael M. & Abanokova, Kseniya & Bussolo, Maurizio, 2019. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," GLO Discussion Paper Series 297, Global Labor Organization (GLO).
  • Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2019. "Inequality and welfare dynamics in the Russian Federation during 1994-2015," Working Papers 484, ECINEQ, Society for the Study of Economic Inequality.
• Dang,Hai-Anh H. & Verme,Paolo, 2019. "Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity ?," Policy Research Working Paper Series 9076, The World Bank.
  • Dang, Hai-Anh H. & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," GLO Discussion Paper Series 429, Global Labor Organization (GLO).
  • Dang, Hai-Anh & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," IZA Discussion Papers 12822, Institute of Labor Economics (IZA).
• Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2020. "Bootstrap methods for inference in the Parks model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-18.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2016. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 16/22, University of Canterbury, Department of Economics and Finance.
  • Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019. "Bootstrap methods for inference in the Parks model," Economics Discussion Papers 2019-39, Kiel Institute for the World Economy (IfW Kiel).
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2018. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 18/13, University of Canterbury, Department of Economics and Finance.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2017. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 17/09, University of Canterbury, Department of Economics and Finance.
• Chen, Siyan & Desiderio, Saul, 2020. "Job duration and inequality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-27.
  • Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
• Hong, Sanghyun, 2019. "Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A replication study of Alinaghi & Reed (Research Synthesis Methods, 2018)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 3(2019-4), pages 1-22.
• Reed, W. Robert, 2019. "Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A reply to Hong (International Journal for Re-Views in Empirical Economics, 2019)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 3(2019-5), pages 1-4.
• Döhrn, Roland, 2019. "Comparing forecast accuracy in small samples," Ruhr Economic Papers 833, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Finkler, Sebastian, 2019. "Old-age poverty: The household perspective : a microsimulation approach of pension entitlements in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203518, Verein für Socialpolitik / German Economic Association.
• Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
  • Verena Monschang & Bernd Wilfling, 2019. "Sup-ADF-style bubble-detection methods under test," CQE Working Papers 7819, Center for Quantitative Economics (CQE), University of Muenster.
  • Monschang, Verena & Wilfling, Bernd, 2019. "Sup-ADF-style bubble detection methods under test," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203568, Verein für Socialpolitik / German Economic Association.
• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203609, Verein für Socialpolitik / German Economic Association.
  • Ettmeier, Stephanie & Kriwoluzky, Alexander, 2020. "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," Working Papers 17, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

2018

• Bensalma, Ahmed, 2018. "Two Distinct Seasonally Fractionally Differenced Periodic Processes," MPRA Paper 84969, University Library of Munich, Germany.
• David Lee, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Working Papers hal-01758922, HAL.
  • Lee, David, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," MPRA Paper 85575, University Library of Munich, Germany.
  • David Lee, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Papers 1804.02289, arXiv.org.
• Sokolovskyi, Dmytro, 2018. "Analysis of dependencies between state tax behavior and macroeconomic indicators," MPRA Paper 86417, University Library of Munich, Germany.
• Baum, Anja & Eyraud, Luc & Hodge, Andrew & Jarmuzek, Mariusz & Kim, Young & Mbaye, Samba & Ture, Elif, 2018. "How to calibrate fiscal rules : a primer," MPRA Paper 86423, University Library of Munich, Germany.
• Habimana, Olivier, 2018. "Asymmetry and Multiscale Dynamics in Macroeconomic Time Series Analysis," MPRA Paper 87823, University Library of Munich, Germany.
• Chtcheva, Iuliia & Mahmudov, Telman & Podzorova, Marina, 2018. "Методика Классификационно-Регрессионного Анализа Районов По Показателям Сельского Хозяйства (На Примере Тульской Области) [Methods classification and regression analysis areas on indicators of agri," MPRA Paper 88657, University Library of Munich, Germany.
• Chan, Kemin & Hong, Yu, 2018. "Simulation of Spar Type Floating Offshore Wind Turbine Subjected to Misaligned Wind-Wave Loading Using Conservation of Momentum Method," MPRA Paper 88777, University Library of Munich, Germany.
• Legrand, Romain, 2018. "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper 88925, University Library of Munich, Germany.
• Kounetas, Kostas & Napolitano, Oreste & Stavropoulos, Spyridon & Burger, Martijn, 2018. "European Regional Productive Performance under a Metafrontier Framework. The role of patents and human capital on technology gap?," MPRA Paper 88957, University Library of Munich, Germany, revised 17 Jul 2018.
• Ghazouani, tarek, 2018. "Reexamining the Foreign direct investment, Renewable energy consumption and Economic growth nexus: Evidence from a new Bootstrap ARDL test for Cointegration," MPRA Paper 103348, University Library of Munich, Germany, revised 11 Sep 2020.
  • Ghazouani, tarek, 2018. "Re-examining the Foreign direct investment, Renewable energy consumption and Economic growth nexus: Evidence from a new Bootstrap ARDL test for Cointegration," MPRA Paper 89975, University Library of Munich, Germany.
• Crudu, F.; & Neri, L.; & Tiezzi, S.;, 2018. "Family Ties and Children Obesity in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 18/09, HEDG, c/o Department of Economics, University of York.
  • Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2018. "Family Ties and Children Obesity in Italy," MPRA Paper 90360, University Library of Munich, Germany, revised 15 Oct 2018.
• Sandoval Paucar, Giovanny, 2018. "Efectos de desbordamiento sobre los mercados financieros de Colombia. Identificación a través de la heterocedasticidad [Spillovers effects on financial markets of Colombia. Identification through h," MPRA Paper 90422, University Library of Munich, Germany.
• Luis A. Gil-Alana & OlaOluwa S. Yaya, 2021. "Testing fractional unit roots with non-linear smooth break approximations using Fourier functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(13-15), pages 2542-2559, November.
  • Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "Testing Fractional Unit Roots with Non-linear Smooth Break Approximations using Fourier functions," MPRA Paper 90516, University Library of Munich, Germany.
• Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
• Radanliev, Petar & De Roure, David & Nicolescu, Razvan & Huth, Michael & Mantilla Montalvo, Rafael & Cannady, Stacy & Burnap, Peter, 2018. "Future developments in cyber risk assessment for the internet of things," MPRA Paper 92567, University Library of Munich, Germany, revised Sep 2018.
• Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy, 2019. "Time-varying impact of uncertainty shocks on the US housing market," Economics Letters, Elsevier, vol. 180(C), pages 15-20.
  • Christina Christou & Rangan Gupta & Wendy Nyakabawo, 2018. "Time-Varying Impact of Uncertainty Shocks on the US Housing Market," Working Papers 201870, University of Pretoria, Department of Economics.
• Milan Bašta, 2018. "Time series forecasting with a prior wavelet-based denoising step," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2018(1), pages 5-24.
• Milan Fičura & Jiří Witzany, 2018. "Use of Adapted Particle Filters in SVJD Models," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2018(3), pages 5-20.
• Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
  • Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2018. "Asymptotic Theory And Wild Bootstrap Inference With Clustered Errors," Working Paper 1399, Economics Department, Queen's University.
  • Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
• David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
  • James G. MacKinnon & Morten Ørregaard Nielsen & David Roodman & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," CREATES Research Papers 2018-34, Department of Economics and Business Economics, Aarhus University.
  • David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018. "Fast And Wild: Bootstrap Inference In Stata Using Boottest," Working Paper 1406, Economics Department, Queen's University.
• Simar, Leopold & Zelenyuk, Valentin, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Discussion Papers ISBA 2018020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Simar, Leopold & Zelenyuk, Valentin, 2020. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Reprints ISBA 2020002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Léopold Simar & Valentin Zelenyuk, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," CEPA Working Papers Series WP072018, School of Economics, University of Queensland, Australia.
• Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
  • Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
• Haroon Mumtaz & Alberto Musso, 2021. "The Evolving Impact of Global, Region-Specific, and Country-Specific Uncertainty," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 466-481, March.
  • Mumtaz, Haroon & Musso, Alberto, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Paper Series 2147, European Central Bank.
  • Haroon Mumtaz & Alberto Musso, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Papers 866, Queen Mary University of London, School of Economics and Finance.
• Gary Koop & Dimitris Korobilis, 2019. "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
  • Gary Koop & Dimitris Korobilis, 2015. "Forecasting With High Dimensional Panel VARs," Working Papers 2015_25, Business School - Economics, University of Glasgow.
  • Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
  • Koop, G & Korobilis, D, 2018. "Forecasting with High-Dimensional Panel VARs," Essex Finance Centre Working Papers 21329, University of Essex, Essex Business School.
  • Koop, Gary & Korobilis, Dimitris, 2015. "Forecasting with High-Dimensional Panel VARs," MPRA Paper 84275, University Library of Munich, Germany, revised 31 Jan 2018.
• Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
  • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
  • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
• Petrov, Nikita & Ratnikova, Tatiana, 2018. "Analysis of the joint distribution of stock and art indices: Attempt of a copular approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 46-61.
• Xiao, Weilin & Yu, Jun, 2019. "Asymptotic theory for rough fractional Vasicek models," Economics Letters, Elsevier, vol. 177(C), pages 26-29.
  • Xiao, Weilin & Yu, Jun, 2018. "Asymptotic Theory for Rough Fractional Vasicek Models," Economics and Statistics Working Papers 7-2018, Singapore Management University, School of Economics.
• Li, Liyao & Yang, Zhenlin, 2021. "Spatial dynamic panel data models with correlated random effects," Journal of Econometrics, Elsevier, vol. 221(2), pages 424-454.
  • Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
• Basim Abbas Kraidy JASSMY & Cristian-Silviu BANACU & Zaki Muhammad Abbas BHAYA, 2018. "Strategic Orientation and External Environment on Organizational Commitment," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 3(1), pages 39-57, June.
• Autcha Araveeporn, 2018. "A Comparison of Parameter Estimation of Logistic Regression model by Maximum Likelihood, Ridge Regression, Markov Chain Monte Carlo Methods," Proceedings of International Academic Conferences 6409196, International Institute of Social and Economic Sciences.
• Roser Bono & María J. Blanca & Rafael Alarcón & Jaume Arnau, 2018. "The Effects Of Autocorrelation And Number Of Repeated Measures On Glmm Robustness With Ordinal Data," Proceedings of International Academic Conferences 7309082, International Institute of Social and Economic Sciences.
• María J. Blanca & Roser Bono & Jaume Arnau & Rafael Alarcón & Juana Gómez-Benito, 2018. "Which Are The Most Common Distributions In Social, Health, And Education Sciences?," Proceedings of International Academic Conferences 7309086, International Institute of Social and Economic Sciences.
• Kamil Polak, 2018. "Investors’ Reaction to a Published Recommendation (Wplyw opublikowanej rekomendacji na reakcje inwestorow)," Research Reports, University of Warsaw, Faculty of Management, vol. 1(27), pages 127-135.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2018. "Agent-based model calibration using machine learning surrogates," Sciences Po publications info:hdl:2441/13thfd12aa8, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Gábor Békés & Péter Harasztosi, 2018. "Grid and shake: spatial aggregation and the robustness of regionally estimated elasticities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 143-170, January.
  • Gabor Bekes & Peter Harasztosi, 2015. "Grid and shake - Spatial aggregation and robustness of regionally estimated elasticities," CERS-IE WORKING PAPERS 1526, Institute of Economics, Centre for Economic and Regional Studies.
• Yuliya Lovcha & Alejandro Perez-Laborda & Luis Gil-Alana, 2018. "On the invertibility of seasonally adjusted series," Computational Statistics, Springer, vol. 33(1), pages 443-465, March.
  • Gil-Alana, Luis & Lovcha, Yuliya & Pérez Laborda, Àlex, 2016. "On the invertibility of seasonally adjusted series," Working Papers 2072/261539, Universitat Rovira i Virgili, Department of Economics.
• Manh D. Pham & Valentin Zelenyuk, 2018. "Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking," Empirical Economics, Springer, vol. 54(1), pages 153-187, February.
  • Manh D. Pham & Valentin Zelenyuk, 2016. "Slack-based directional distance function in the presence of bad outputs: Theory and Application to Vietnamese Banking," CEPA Working Papers Series WP072016, School of Economics, University of Queensland, Australia.
• Dong-Yop Oh & Hyejin Lee & Ming Meng, 2018. "More powerful threshold cointegration tests," Empirical Economics, Springer, vol. 54(3), pages 887-911, May.
• Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
• K. P. M. Winssen & R. C. Kleef & W. P. M. M. Ven, 2018. "Can premium differentiation counteract adverse selection in the Dutch supplementary health insurance? A simulation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(5), pages 757-768, June.
• Caroline Orset, 2018. "People’s perception and cost-effectiveness of home confinement during an influenza pandemic: evidence from the French case," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1335-1350, December.
• Gordon H. Dash & Nina Kajiji & Domenic Vonella, 2018. "The role of supervised learning in the decision process to fair trade US municipal debt," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 139-168, June.
• G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
  • Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2016. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," LEM Papers Series 2016/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Panayiotis Tzeremes & Nickolaos G. Tzeremes, 2018. "A convergence assessment of water price rates: evidence from major U.S. cities," Letters in Spatial and Resource Sciences, Springer, vol. 11(3), pages 361-368, October.
• Georg P. Mueller, 2018. "When the search for truth fails: A computer simulation of the impact of the publication bias on the meta-analysis of scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2061-2076, December.
• Ana Suárez Álvarez & Ana Jesús López Menéndez, 2018. "Assessing Changes Over Time in Inequality of Opportunity: The Case of Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 989-1014, October.
• Aleksandr M. Batkovskiy & Natalya S. Efimova & Vyacheslav D. Kalachanov & Elena G. Semenova & Alena V. Fomina & Viktor M. Balashov, 2018. "Evaluation of the efficiency of industrial management in high-technology industries," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(2), pages 577-590, December.
• Marián Vávra, 2020. "Assessing distributional properties of forecast errors for fan-chart modelling," Empirical Economics, Springer, vol. 59(6), pages 2841-2858, December.
  • Marian Vavra, 2018. "Assessing Distributional Properties of Forecast Errors," Working and Discussion Papers WP 3/2018, Research Department, National Bank of Slovakia.
• Zacharias Psaradakis & Márian Vávra, 2018. "Bootstrap-Assisted Tests of Symmetry for Dependent Data," Birkbeck Working Papers in Economics and Finance 1806, Birkbeck, Department of Economics, Mathematics & Statistics.
  • Zacharias Psaradakis & Marian Vavra, 2018. "Bootstrap Assisted Tests of Symmetry for Dependent Data," Working and Discussion Papers WP 5/2018, Research Department, National Bank of Slovakia.
• Anton Kolotilin & Valentyn Panchenko, 2018. "Estimation of a Scale-Free Network Formation Model," Discussion Papers 2018-10, School of Economics, The University of New South Wales.
• Antonia Arsova & Deniz Dilan Karaman Örsal, 2018. "Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1033-1050, November.
  • Antonia Arsova & Deniz Dilan Karaman Oersal, 2013. "Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence," Working Paper Series in Economics 280, University of Lüneburg, Institute of Economics.
• Artūras Juodis & Vasilis Sarafidis, 2018. "Fixed T dynamic panel data estimators with multifactor errors," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 893-929, September.
  • Juodis, Arturas & Sarafidis, Vasilis, 2014. "Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors," MPRA Paper 57659, University Library of Munich, Germany.
  • Arturas Juodis & Sarafidis, V., 2014. "Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors," UvA-Econometrics Working Papers 14-07, Universiteit van Amsterdam, Dept. of Econometrics.
• Fabio Sanches & Daniel Silva Junior & Sorawoot Srisuma, 2018. "Minimum Distance Estimation of Search Costs Using Price Distribution," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 658-671, October.
  • Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2015. "Minimum Distance Estimation of Search Costs using Price Distribution," Working Papers, Department of Economics 2015_31, University of São Paulo (FEA-USP).
• Rasmus T. Varneskov & Pierre Perron, 2018. "Combining long memory and level shifts in modelling and forecasting the volatility of asset returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(3), pages 371-393, March.
  • Pierre Perron & Rasmus T. Varneskov, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series WP2011-050, Boston University - Department of Economics.
  • Rasmus T. Varneskov & Pierre Perron, 2015. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series wp2015-015, Boston University - Department of Economics.
  • Rasmus Tangsgaard Varneskov & Pierre Perron, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," CREATES Research Papers 2011-26, Department of Economics and Business Economics, Aarhus University.
  • Rasmus T. Varneskov & Pierre Perron, 2017. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series WP2017-006, Boston University - Department of Economics.
• Ehsan Mehdad & Jack P. C. Kleijnen, 2018. "Efficient global optimisation for black-box simulation via sequential intrinsic Kriging," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1725-1737, November.
  • Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging," Discussion Paper 2015-042, Tilburg University, Center for Economic Research.
  • Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging," Other publications TiSEM 5e785713-146c-4e5b-b671-f, Tilburg University, School of Economics and Management.
• Fethi Ogunc & Mustafa Utku Ozmen & Cagri Sarikaya, 2018. "Inflation Dynamics in Turkey from a Bayesian Perspective," Working Papers 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
• Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Learning to Average Predictively over Good and Bad: Comment on: Using Stacking to Average Bayesian Predictive Distributions," Tinbergen Institute Discussion Papers 18-063/III, Tinbergen Institute.
• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
• Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Other publications TiSEM b0504930-f518-44f7-908c-6, Tilburg University, School of Economics and Management.
  • Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Discussion Paper 2018-022, Tilburg University, Center for Economic Research.
• Martin Burda & Remi Daviet, 2023. "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, vol. 42(1), pages 54-77, January.
  • Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
• Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
• M. Bee & J. Hambuckers & L. Trapin, 2019. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1255-1266, August.
  • Marco Bee & Julien Hambuckers & Luca Trapin, 2018. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," DEM Working Papers 2018/08, Department of Economics and Management.
• Angelo Ranaldo & Paolo Santucci de Magistris, 2018. "Trading Volume, Illiquidity and Commonalities in FX Markets," Working Papers on Finance 1823, University of St. Gallen, School of Finance, revised Oct 2019.
• Mengheng Li & Ivan Mendieta‐Muñoz, 2020. "Are long‐run output growth rates falling?," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 204-234, February.
  • Ivan Mendieta-Munoz & Mengheng Li, 2018. "Are long-run output growth rates falling?," Working Paper Series, Department of Economics, University of Utah 2018_02, University of Utah, Department of Economics.
  • Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.
• Ślepaczuk Robert & Zenkova Maryna, 2018. "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Central European Economic Journal, Sciendo, vol. 5(1), pages 186-205, January.
  • Maryna Zenkova & Robert Ślepaczuk, 2019. "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Working Papers 2019-02, Faculty of Economic Sciences, University of Warsaw.
• Ślepaczuk Robert & Zenkova Maryna, 2018. "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Central European Economic Journal, Sciendo, vol. 5(52), pages 186-205, January.
  • Maryna Zenkova & Robert Ślepaczuk, 2019. "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Working Papers 2019-02, Faculty of Economic Sciences, University of Warsaw.
• Berezka Kateryna & Kovalchuk Olha, 2018. "Correspondence Analysis as a Tool for Computer Modeling of Sustainable Development," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(4), pages 9-23, December.
• Tilca Magnolia & Mare Elisabeta & Apatean Anca, 2018. "A Model to Measure the Performance of Human Resources in Organisations," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 28(1), pages 57-73, March.
• Carson, Richard T. & Czajkowski, Mikołaj, 2019. "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 57-61.
  • Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.
• Kosc, Krzysztof & Sakowski, Paweł & Ślepaczuk, Robert, 2019. "Momentum and contrarian effects on the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 691-701.
  • Krzysztof Kość & Paweł Sakowski & Robert Ślepaczuk, 2018. "Momentum and contrarian effects on the cryptocurrency market," Working Papers 2018-09, Faculty of Economic Sciences, University of Warsaw.
• Małgorzata Jabłczyńska & Krzysztof Kosc & Przemysław Ryś & Robert Ślepaczuk & Paweł Sakowski & Grzegorz Zakrzewski, 2018. "Why you should not invest in mining endeavour? The efficiency of BTC mining under current market conditions," Working Papers 2018-18, Faculty of Economic Sciences, University of Warsaw.
• Przemysław Ryś & Robert Ślepaczuk, 2018. "Machine learning in algorithmic trading strategy optimization - implementation and efficiency," Working Papers 2018-25, Faculty of Economic Sciences, University of Warsaw.
• Ji, Jingru & Wang, Donghua & Xu, Dinghai, 2019. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Economic Modelling, Elsevier, vol. 80(C), pages 383-391.
  • Dinghai Xu & Jingru Ji & Donghua Wang, 2018. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Working Papers 1806, University of Waterloo, Department of Economics, revised 09 Jan 2018.
• Dang, Hai-Anh H., 2018. "To Impute or Not to Impute? A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data," GLO Discussion Paper Series 201, Global Labor Organization (GLO).
  • Dang,Hai-Anh H., 2018. "To impute or not to impute ? a review of alternative poverty estimation methods in the context of unavailable consumption data," Policy Research Working Paper Series 8403, The World Bank.
• Dang,Hai-Anh H. & Lokshin,Michael M. & Abanokova,Ksenia & Bussolo,Maurizio, 2018. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," Policy Research Working Paper Series 8629, The World Bank.
  • Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2019. "Inequality and welfare dynamics in the Russian Federation during 1994-2015," Working Papers 484, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh H. & Lokshin, Michael M. & Abanokova, Kseniya & Bussolo, Maurizio, 2019. "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," GLO Discussion Paper Series 297, Global Labor Organization (GLO).
• Ehsan Mehdad & Jack P.C. Kleijnen, 2018. "Stochastic intrinsic Kriging for simulation metamodeling," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 34(3), pages 322-337, May.
  • Mehdad, E. & Kleijnen, Jack P.C., 2014. "Stochastic Intrinsic Kriging for Simulation Metamodelling," Discussion Paper 2014-054, Tilburg University, Center for Economic Research.
  • Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Stochastic Intrinsic Kriging for Simulation Metamodelling," Other publications TiSEM 00bed9cb-d34c-4e98-93ef-e, Tilburg University, School of Economics and Management.
  • Mehdad, E. & Kleijnen, Jack P.C., 2014. "Stochastic Intrinsic Kriging for Simulation Metamodelling," Other publications TiSEM 9ab2e856-d971-475d-a842-d, Tilburg University, School of Economics and Management.
  • Mehdad, Ehsan & Kleijnen, J.P.C., 2015. "Stochastic Intrinsic Kriging for Simulation Metamodelling," Discussion Paper 2015-038, Tilburg University, Center for Economic Research.
• James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
  • James G. MacKinnon & Matthew D. Webb, 2017. "The Wild Bootstrap For Few (treated) Clusters," Working Paper 1364, Economics Department, Queen's University.
• Haroon Mumtaz & Gabor Pinter & Konstantinos Theodoridis, 2018. "What Do Vars Tell Us About The Impact Of A Credit Supply Shock?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 625-646, May.
  • Haroon Mumtaz & Gabor Pinter & Konstantinos Theodoridis, 2015. "What do VARs Tell Us about the Impact of a Credit Supply Shock?," Working Papers 739, Queen Mary University of London, School of Economics and Finance.
• Eduardo Rossi & Paolo Santucci de Magistris, 2018. "Indirect inference with time series observed with error," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 874-897, September.
  • Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Indirect inference with time series observed with error," CREATES Research Papers 2014-57, Department of Economics and Business Economics, Aarhus University.
• Haroon Mumtaz & Laura Sunder‐Plassmann & Angeliki Theophilopoulou, 2018. "The State‐Level Impact of Uncertainty Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1879-1899, December.
  • Haroon Mumtaz & Laura Sunder-Plassmann & Angeliki Theophilopoulou, 2016. "The State Level Impact of Uncertainty Shocks," Working Papers 793, Queen Mary University of London, School of Economics and Finance.
• Lele Zou & Jinjun Xue & Alan Fox & Bo Meng, 2018. "The Emissions Reduction Effect And Economic Impact Of An Energy Tax Vs. A Carbon Tax In China: A Dynamic Cge Model Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 339-387, March.
  • Zou, Lele & Xue, Jinjun & Fox, Alan & Meng, Bo & Shibata, Tsubasa, 2015. "The emission reduction effect and economic impact of an energy tax vs. a carbon tax in China : a dynamic CGE model analysis," IDE Discussion Papers 487, Institute of Developing Economies, Japan External Trade Organization(JETRO).
• Idrizi, Olgerta & Shahini, Besa, 2018. "Albanian Challenges towards an Efficient Pension System," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2018), Split, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018, pages 25-37, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
• Opiła, Janusz, 2018. "Visualization in a Knowledge Transfer Process," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2018), Split, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018, pages 485-493, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
• Schreiber, Sven, 2018. "Are bootstrapped cointegration test findings unreliable?," Discussion Papers 2018/8, Free University Berlin, School of Business & Economics.
• Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
  • Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
  • Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
  • Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
• Dang,Hai-Anh H., 2018. "To impute or not to impute ? a review of alternative poverty estimation methods in the context of unavailable consumption data," Policy Research Working Paper Series 8403, The World Bank.
  • Dang, Hai-Anh H., 2018. "To Impute or Not to Impute? A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data," GLO Discussion Paper Series 201, Global Labor Organization (GLO).
• Belaire-Franch, Jorge, 2018. "Exchange rates expectations and chaotic dynamics: A replication study," Economics Discussion Papers 2018-34, Kiel Institute for the World Economy (IfW Kiel).
• Belaire-Franch, Jorge, 2018. "Exchange rates expectations and chaotic dynamics: A replication study," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-9.
• Packham, Natalie & Papenbrock, Jochen & Schwendner, Peter & Woebbeking, Fabian, 2018. "Tail-Risk Protection Trading Strategies," IRTG 1792 Discussion Papers 2018-038, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Guo, Shaojun & Li, Dong & Li, Muyi, 2018. "Strict Stationarity Testing and GLAD Estimation of Double Autoregressive Models," IRTG 1792 Discussion Papers 2018-049, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Zbonakova, Lenka & Pio Monti, Ricardo & Härdle, Wolfgang Karl, 2018. "Towards the interpretation of time-varying regularization parameters in streaming penalized regression models," IRTG 1792 Discussion Papers 2018-059, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2020. "Skewness-adjusted bootstrap confidence intervals and confidence bands for impulse response functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 5-32, March.
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," Lodz Economics Working Papers 1/2018, University of Lodz, Faculty of Economics and Sociology.
  • Grabowski, Daniel & Staszewska-Bystrova, Anna, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181590, Verein für Socialpolitik / German Economic Association.
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," MAGKS Papers on Economics 201810, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Ulrich Hounyo & Rasmus T. Varneskov, 2018. "Inference for Local Distributions at High Sampling Frequencies: A Bootstrap Approach," CREATES Research Papers 2018-16, Department of Economics and Business Economics, Aarhus University.
• Mark Podolskij & Bezirgen Veliyev & Nakahiro Yoshida, 2018. "Edgeworth expansion for Euler approximation of continuous diffusion processes," CREATES Research Papers 2018-28, Department of Economics and Business Economics, Aarhus University.
• David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
  • David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018. "Fast And Wild: Bootstrap Inference In Stata Using Boottest," Working Paper 1406, Economics Department, Queen's University.
  • James G. MacKinnon & Morten Ørregaard Nielsen & David Roodman & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," CREATES Research Papers 2018-34, Department of Economics and Business Economics, Aarhus University.
• Antoine A. Djogbenou & James G. MacKinnon & Morten Orregard Nielsen, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Working Papers 1399, Queen's University, Department of Economics.
  • Djogbenou, Antoine A. & MacKinnon, James G. & Orregaard Nielsen, Morten, 2018. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274725, Queen's University - Department of Economics.
• Dorobanțu Alin Ionuț & Dumitrescu Ioan Alexandru, 2018. "The Analysis Of The Structure Influence And The Financial Balance Of Economic Renewability In The Hotel-Restaurant Sector In Dolj Region," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(46), pages 71-80, November.
• Dorobanțu Alin Ionuț & Dumitrescu Ioan Alexandru, 2018. "Analysis Of The Correlation Between Profitability And Risk In The Services Sector In Dolj Region," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(46), pages 81-89, November.
• Léopold Simar & Valentin Zelenyuk, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," CEPA Working Papers Series WP072018, School of Economics, University of Queensland, Australia.
  • Simar, Leopold & Zelenyuk, Valentin, 2020. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Reprints ISBA 2020002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Simar, Leopold & Zelenyuk, Valentin, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Discussion Papers ISBA 2018020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2020. "Skewness-adjusted bootstrap confidence intervals and confidence bands for impulse response functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 5-32, March.
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," MAGKS Papers on Economics 201810, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," Lodz Economics Working Papers 1/2018, University of Lodz, Faculty of Economics and Sociology.
  • Grabowski, Daniel & Staszewska-Bystrova, Anna, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181590, Verein für Socialpolitik / German Economic Association.
• David Lee, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Working Papers hal-01758922, HAL.
  • David Lee, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Papers 1804.02289, arXiv.org.
  • Lee, David, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," MPRA Paper 85575, University Library of Munich, Germany.
• Lee, Seojeong, 2014. "Asymptotic refinements of a misspecification-robust bootstrap for generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 178(P3), pages 398-413.
  • Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
  • Seojeong Lee, 2018. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Papers 1806.01450, arXiv.org.
• Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
  • Gary Koop & Dimitris Korobilis, 2018. "Bayesian dynamic variable selection in high dimensions," Papers 1809.03031, arXiv.org, revised May 2020.
  • Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
  • Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
• Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
  • Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
  • Advani, Arun & Kitagawa, Toru & Słoczyński, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," The Warwick Economics Research Paper Series (TWERPS) 1192, University of Warwick, Department of Economics.
  • Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
• Boldea, Otilia & Cornea-Madeira, Adriana & Hall, Alastair R., 2019. "Bootstrapping structural change tests," Journal of Econometrics, Elsevier, vol. 213(2), pages 359-397.
  • Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2017. "Bootstrapping Structural Change Tests," Economics Discussion Paper Series 1704, Economics, The University of Manchester.
  • Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.
• DRAMA Bedi Guy Herve, 2018. "Re-Examining the Mean Reversion of Inflation Rate in ECOWAS," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 8(5), pages 653-668, May.
• Zacharias Psaradakis & Marian Vavra, 2018. "Bootstrap Assisted Tests of Symmetry for Dependent Data," Working and Discussion Papers WP 5/2018, Research Department, National Bank of Slovakia.
  • Zacharias Psaradakis & Márian Vávra, 2018. "Bootstrap-Assisted Tests of Symmetry for Dependent Data," Birkbeck Working Papers in Economics and Finance 1806, Birkbeck, Department of Economics, Mathematics & Statistics.
• Luis Uzeda, 2016. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics 2016-632, Australian National University, College of Business and Economics, School of Economics.
  • Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
• Valéry Dongmo Jiongo & Pierre Nguimkeu, 2018. "Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data," Staff Working Papers 18-28, Bank of Canada.
• Thibaut Duprey, 2018. "Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities," Staff Analytical Notes 2018-6, Bank of Canada.
• Fasolo, Angelo Marsiglia, 2019. "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
  • Angelo Marsiglia Fasolo, 2018. "Monetary Policy Volatility Shocks in Brazil," Working Papers Series 480, Central Bank of Brazil, Research Department.
• Luigi Cannari & Giovanni D�Alessio, 2018. "Wealth inequality in Italy: reconstruction of 1968-75 data and comparison with recent estimates," Questioni di Economia e Finanza (Occasional Papers) 428, Bank of Italy, Economic Research and International Relations Area.
• Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
• Shuping Shi & Peter C. B. Phillips & Stan Hurn, 2018. "Change Detection and the Causal Impact of the Yield Curve," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 966-987, November.
  • Stan Hurn & Peter C B Phillips & Shuping Shi, 2015. "Change Detection and the Casual Impact of the Yield Curve," NCER Working Paper Series 107, National Centre for Econometric Research.
  • Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.
• Laura Bisio & Filippo Moauro, 2018. "Temporal disaggregation by dynamic regressions: Recent developments in Italian quarterly national accounts," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 471-494, November.
  • Bisio, Laura & Moauro, Filippo, 2017. "Temporal disaggregation by dynamic regressions: recent developments in Italian quarterly national accounts," MPRA Paper 80211, University Library of Munich, Germany, revised 14 Jul 2017.
• Kwak Do Won & Martin Robert S. & Wooldridge Jeffrey M., 2023. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 33-56, January.
  • Do Won Kwak & Robert S. Martin & Jeffrey M. Wooldridge, 2018. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Economic Working Papers 502, Bureau of Labor Statistics.
• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
  • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
• Alexandros E. Milionis & Nikolaos G. Galanopoulos, 2018. "Time series with interdependent level and second moment: statistical testing and applications with Greek external trade and simulated data," Working Papers 246, Bank of Greece.
• Giusto Andrea & İşcan Talan B., 2018. "The Rescaled VAR Model with an Application to Mixed-Frequency Macroeconomic Forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(4), pages 1-16, September.
• Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," Working Papers 124, Brandeis University, Department of Economics and International Business School.
  • Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Arun Advani & Tymon Słoczyński, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers 64/13, Institute for Fiscal Studies.
  • Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
  • Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2018. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 11862, Institute of Labor Economics (IZA).
• Tamara Bašić Vasiljev, 2018. "Estimated DSGE Model for Monetary and Fiscal Polic Coordination Analysis – The Case of Serbia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 7(1), pages 145-173.
• Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2020. "Bootstrap methods for inference in the Parks model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-18.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2016. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 16/22, University of Canterbury, Department of Economics and Finance.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2018. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 18/13, University of Canterbury, Department of Economics and Finance.
  • Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019. "Bootstrap methods for inference in the Parks model," Economics Discussion Papers 2019-39, Kiel Institute for the World Economy (IfW Kiel).
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2017. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 17/09, University of Canterbury, Department of Economics and Finance.
• Fabio C. Bagliano & Raffaele Corvino & Carolina Fugazza & Giovanna Nicodano, 2018. "Hedging Labor Income Risk over the Life-Cycle," Working papers 058, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
  • Fabio C. Bagliano & Raffaele Corvino & Carolina Fugazza & Giovanna Nicodano, 2018. "Hedging Labor Income Risk over the Life-Cycle," Carlo Alberto Notebooks 576, Collegio Carlo Alberto.
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
  • Konstantinos Theodoridis & Haroon Mumtaz, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 101219932, Lancaster University Management School, Economics Department.
  • Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers E2018/21, Cardiff University, Cardiff Business School, Economics Section.
  • Haroon Mumtaz & Konstantinos Theodoridis, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 760, Queen Mary University of London, School of Economics and Finance.
• Marius Galabe Sampid & Haslifah M.Hasim, 2018. "Estimating value-at-risk using a multivariate copula-based volatility model: Evidence from European banks," International Economics, CEPII research center, issue 156, pages 175-192.
• Andrés Felipe Galeano Zurbaran, 2018. "Distribuciones no normales para la selección de activos en el mercado Colombiano," Documentos de Trabajo 17208, Quantil.
• Afees A. Salisu & Ahamuefula Ephraim Ogbonna & Paul Adeoye Omosebi, 2018. "Does the choice of estimator matter for forecasting? A revisit," Working Papers 053, Centre for Econometric and Allied Research, University of Ibadan.
• Martins-Filho, Carlos & Yao, Feng & Torero, Maximo, 2018. "Nonparametric Estimation Of Conditional Value-At-Risk And Expected Shortfall Based On Extreme Value Theory," Econometric Theory, Cambridge University Press, vol. 34(1), pages 23-67, February.
  • Carlos Martins-Filho & Feng Yao & Maximo Torero, 2012. "Nonparametric estimation of conditional value-at-risk and expected shortfall based on extreme value theory," Working Papers 13-05, Department of Economics, West Virginia University.
• Alexander Konon & Alexander Kritikos, 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," SOEPpapers on Multidisciplinary Panel Data Research 1012, DIW Berlin, The German Socio-Economic Panel (SOEP).
• Alexander Konon & Alexander S. Kritikos, 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," Small Business Economics, Springer, vol. 53(1), pages 1-20, June.
  • Konon, Alexander & Kritikos, Alexander S., 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(1), pages 1-20.
  • Konon, Alexander & Kritikos, Alexander S., 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," IZA Discussion Papers 11880, Institute of Labor Economics (IZA).
  • Alexander Konon & Alexander Kritikos, 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," Discussion Papers of DIW Berlin 1763, DIW Berlin, German Institute for Economic Research.
• Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
  • Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2018. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," ISER Discussion Paper 1019r, Institute of Social and Economic Research, Osaka University, revised Apr 2019.
  • Milda Norkute & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2019. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," Monash Econometrics and Business Statistics Working Papers 32/19, Monash University, Department of Econometrics and Business Statistics.
• Haroon Mumtaz & Alberto Musso, 2021. "The Evolving Impact of Global, Region-Specific, and Country-Specific Uncertainty," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 466-481, March.
  • Haroon Mumtaz & Alberto Musso, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Papers 866, Queen Mary University of London, School of Economics and Finance.
  • Mumtaz, Haroon & Musso, Alberto, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Paper Series 2147, European Central Bank.
• Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
  • Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
• Zul - Amry, 2018. "Bayesian Approach for Indonesia Inflation Forecasting," International Journal of Economics and Financial Issues, Econjournals, vol. 8(5), pages 96-102.
• Nelson Javier Hern ndez Bueno & Mar a de los ngeles Pinto Calder n & Yecid Alfonso Mu oz Maldonado & Adalberto Ospino Castro, 2018. "Determination of Models of Simple Regression and Multivariate Analysis for the Forecast of the Electricity Price in Colombia at 2030," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 202-211.
• Martin, Vance L. & Tang, Chrismin & Yao, Wenying, 2018. "News and expected returns in East Asian equity markets: The RV-GARCHM model," Journal of Asian Economics, Elsevier, vol. 57(C), pages 36-52.
• Klein, Daniel, 2018. "Executive turnover and the valuation of stock options," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 76-93.
• Hartigan, Luke, 2018. "Alternative HAC covariance matrix estimators with improved finite sample properties," Computational Statistics & Data Analysis, Elsevier, vol. 119(C), pages 55-73.
  • Luke Hartigan, 2016. "Alternative HAC Covariance Matrix Estimators with Improved Finite Sample Properties," Discussion Papers 2016-06, School of Economics, The University of New South Wales.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
• Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
• Grant, Angelia L., 2018. "The Great Recession and Okun's law," Economic Modelling, Elsevier, vol. 69(C), pages 291-300.
• Raïssi, Hamdi, 2018. "Testing normality for unconditionally heteroscedastic macroeconomic variables," Economic Modelling, Elsevier, vol. 70(C), pages 140-146.
• Hur, Joonyoung, 2018. "Time-varying information rigidities and fluctuations in professional forecasters' disagreement," Economic Modelling, Elsevier, vol. 75(C), pages 117-131.
• Kim, Ju Hyun & Park, Byoung G., 2018. "Weak convergence of local quantile treatment effect processes," Economics Letters, Elsevier, vol. 162(C), pages 49-52.
• Li, Shaomin & Wang, Kangning & Ren, Yanyan, 2018. "Robust estimation and empirical likelihood inference with exponential squared loss for panel data models," Economics Letters, Elsevier, vol. 164(C), pages 19-23.
• Chen, Tao & DeJuan, Joseph & Tian, Renfang, 2018. "Distributions of GDP across versions of the Penn World Tables: A functional data analysis approach," Economics Letters, Elsevier, vol. 170(C), pages 179-184.
• Honoré, Bo E. & Hu, Luojia, 2018. "Easy bootstrap-like estimation of asymptotic variances," Economics Letters, Elsevier, vol. 171(C), pages 46-50.
  • Bo E. Honore & Luojia Hu, 2018. "Easy Bootstrap-Like Estimation of Asymptotic Variances," Working Paper Series WP-2018-11, Federal Reserve Bank of Chicago.
• Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
• Blasques, Francisco & Duplinskiy, Artem, 2018. "Penalized indirect inference," Journal of Econometrics, Elsevier, vol. 205(1), pages 34-54.
  • Francisco Blasques & Artem Duplinskiy, 2015. "Penalized Indirect Inference," Tinbergen Institute Discussion Papers 15-009/III, Tinbergen Institute.
• Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.
• Yang, Zhenlin, 2018. "Unified M-estimation of fixed-effects spatial dynamic models with short panels," Journal of Econometrics, Elsevier, vol. 205(2), pages 423-447.
• Chang, Jinyuan & Qiu, Yumou & Yao, Qiwei & Zou, Tao, 2018. "Confidence regions for entries of a large precision matrix," Journal of Econometrics, Elsevier, vol. 206(1), pages 57-82.
• Cheng, Tingting & Gao, Jiti & Phillips, Peter C.B., 2018. "A frequentist approach to Bayesian asymptotics," Journal of Econometrics, Elsevier, vol. 206(2), pages 359-378.
• Delgado, Miguel A. & Song, Xiaojun, 2018. "Nonparametric tests for conditional symmetry," Journal of Econometrics, Elsevier, vol. 206(2), pages 447-471.
• Zhu, Qianqian & Zheng, Yao & Li, Guodong, 2018. "Linear double autoregression," Journal of Econometrics, Elsevier, vol. 207(1), pages 162-174.
• Seo, Juwon, 2018. "Tests of stochastic monotonicity with improved power," Journal of Econometrics, Elsevier, vol. 207(1), pages 53-70.
• Wu, Ximing & Sickles, Robin, 2018. "Semiparametric estimation under shape constraints," Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
  • Wu, Ximing & Sickles, Robin, 2014. "Semiparametric Estimation under Shape Constraints," Working Papers 15-021, Rice University, Department of Economics.
• Kwon, Tae Yeon & Lee, Yoonjung, 2018. "Industry specific defaults," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 45-58.
• Chen, Siyuan & Zhang, Qi & Wang, Ge & Zhu, Lijing & Li, Yan, 2018. "Investment strategy for underground gas storage facilities based on real option model considering gas market reform in China," Energy Economics, Elsevier, vol. 70(C), pages 132-142.
• Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2018. "Markov switching GARCH models for Bayesian hedging on energy futures markets," Energy Economics, Elsevier, vol. 70(C), pages 545-562.
  • Roberto Casarin & Monica Billio & Anthony Osuntuyi, 2014. "Markov Switching GARCH models for Bayesian Hedging on Energy Futures Markets," Working Papers 2014:07, Department of Economics, University of Venice "Ca' Foscari".
• Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
• Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
• Wang, Minggang & Tian, Lixin & Zhou, Peng, 2018. "A novel approach for oil price forecasting based on data fluctuation network," Energy Economics, Elsevier, vol. 71(C), pages 201-212.
• Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
• Brix, Anne Floor & Lunde, Asger & Wei, Wei, 2018. "A generalized Schwartz model for energy spot prices — Estimation using a particle MCMC method," Energy Economics, Elsevier, vol. 72(C), pages 560-582.
• Prakash Ranjan, Ravi & Bhattachharyya, Malay, 2018. "Does investor attention to energy stocks exhibit power law?," Energy Economics, Elsevier, vol. 75(C), pages 573-582.
• Fang, Jianchun & Lau, Chi Keung Marco & Lu, Zhou & Wu, Wanshan, 2018. "Estimating Peak uranium production in China – Based on a Stella model," Energy Policy, Elsevier, vol. 120(C), pages 250-258.
• Li, Zhiyong & Lambe, Brendan & Adegbite, Emmanuel, 2018. "New bid-ask spread estimators from daily high and low prices," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 69-86.
  • Li, Zhiyong & Lambe, Brendan & Adegbite, Emmanuel, 2017. "New Bid-Ask Spread Estimators from Daily High and Low Prices," MPRA Paper 79102, University Library of Munich, Germany.
• Pan, Wei-Fong, 2018. "Sentiment and asset price bubble in the precious metals markets," Finance Research Letters, Elsevier, vol. 26(C), pages 106-111.
• Caspi, Itamar & Graham, Meital, 2018. "Testing for bubbles in stock markets with irregular dividend distribution," Finance Research Letters, Elsevier, vol. 26(C), pages 89-94.
  • Itamar Caspi & Meital Graham, 2016. "Testing for Bubbles in Stock Markets With Irregular Dividend Distribution," Bank of Israel Working Papers 2016.06, Bank of Israel.
  • Caspi, Itamar & Graham, Meital, 2017. "Testing for Bubbles in Stock Markets with Irregular Dividend Distribution," MPRA Paper 82261, University Library of Munich, Germany, revised 29 Oct 2017.
• Bravo, Jorge Miguel & El Mekkaoui de Freitas, Najat, 2018. "Valuation of longevity-linked life annuities," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 212-229.
• Börger, Matthias & Schupp, Johannes, 2018. "Modeling trend processes in parametric mortality models," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 369-380.
• Eling, Martin & Jung, Kwangmin, 2018. "Copula approaches for modeling cross-sectional dependence of data breach losses," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 167-180.
• Sampid, Marius Galabe & Hasim, Haslifah M., 2018. "Estimating value-at-risk using a multivariate copula-based volatility model: Evidence from European banks," International Economics, Elsevier, vol. 156(C), pages 175-192.
• Debnath, Deepayan & Babu, Suresh & Ghosh, Parijat & Helmar, Michael, 2018. "The impact of India’s food security policy on domestic and international rice market," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 265-283.
• Kopczewski, Tomasz & Sobolewski, Maciej & Miernik, Ireneusz, 2018. "Bundling or unbundling? Integrated simulation model of optimal pricing strategies," International Journal of Production Economics, Elsevier, vol. 204(C), pages 328-345.
• Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.
• Barzin, Samira & D'Costa, Sabine & Graham, Daniel J., 2018. "A pseudo – panel approach to estimating dynamic effects of road infrastructure on firm performance in a developing country context," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 20-34.
• Niu, Cuizhen & Guo, Xu & McAleer, Michael & Wong, Wing-Keung, 2018. "Theory and application of an economic performance measure of risk," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 383-396.
  • Cuizhen Niu & Xu Guo & Wing-Keung Wong & Michael McAleer, 2017. "Theory and Application of an Economic Performance Measure of Risk," Documentos de Trabajo del ICAE 2017-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Niu, C. & Guo, X. & McAleer, M.J. & Wong, W.-K., 2017. "Theory and Application of an Economic Performance Measure of Risk," Econometric Institute Research Papers EI2017-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Cuizhen Niu & Xu Guo & Michael McAleer & Wing-Keung Wong, 2017. "Theory and Application of an Economic Performance Measure of Risk," Tinbergen Institute Discussion Papers 17-055/III, Tinbergen Institute.
• Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
  • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
  • CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
• Chang, Jinyuan & Qiu, Yumou & Yao, Qiwei & Zou, Tao, 2018. "Confidence regions for entries of a large precision matrix," LSE Research Online Documents on Economics 87513, London School of Economics and Political Science, LSE Library.
• José M. Albert Ortiz & Francisco M. Gasca Sánchez & Miguel A. Flores Segovia, 2018. "Patrones de localización espacial de las manufacturas mexicanas: análisis con la técnica de patrones de puntos espaciales\Spatial location patterns of Mexican manufacturing: Analysis using the tech," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(2), pages 253-282.
• Hada Melissa Sáenz Vela & Luis Gutiérrez Flores & Enrique Eliseo Minor Campa, 2018. "Una nota sobre la ponderación del índice de privación social de México\A note on the weighting of the Mexican Social Deprivation Index," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(2), pages 313-331.
• Alejandra Macías Sánchez & Héctor Juan Villarreal Páez, 2018. "Sostenibilidad del gasto público: Cobertura y financiamiento de enfermedades crónicas en México. (Public Spending Sustainability: Coverage and Financing of Chronic Diseases in Mexico)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 99-134, May.
• M. Kruk & A. Semenov & A. Cherepovitsyn & A. Nikulina, 2018. "Environmental and Economic Damage from the Development of Oil and Gas Fields in the Arctic Shelf of the Russian Federation," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 423-433.
• Chandan Kumar, 2018. "Role of bidding method and risk allocation in the performance of public private partnership (PPP) projects," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2018-013, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Chandan Kumar, 2018. "Role of Bidding Method and Risk Allocation in the Performance of Public Private Partnership (PPP) Projects," Working Papers id:12688, eSocialSciences.
• Gary Koop & Dimitris Korobilis, 2019. "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
  • Gary Koop & Dimitris Korobilis, 2015. "Forecasting With High Dimensional Panel VARs," Working Papers 2015_25, Business School - Economics, University of Glasgow.
  • Koop, G & Korobilis, D, 2018. "Forecasting with High-Dimensional Panel VARs," Essex Finance Centre Working Papers 21329, University of Essex, Essex Business School.
  • Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
  • Koop, Gary & Korobilis, Dimitris, 2015. "Forecasting with High-Dimensional Panel VARs," MPRA Paper 84275, University Library of Munich, Germany, revised 31 Jan 2018.
• Vasile BRÄ‚TIAN, 2018. "Evaluation of Options using the Monte Carlo Method and the Entropy of Information," Expert Journal of Economics, Sprint Investify, vol. 6(2), pages 35-43.
• Dejan Zivkov & Suzana Balaban & Jasmina Djuraskovic, 2018. "What Multiscale Approach Can Tell About the Nexus Between Exchange Rate and Stocks in the Major Emerging Markets?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(5), pages 491-512, October.
• Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 18-25/R, Federal Reserve Bank of Philadelphia.
  • Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 2018-13, FEDEA.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
• Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 18-25/R, Federal Reserve Bank of Philadelphia.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
  • Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 2018-13, FEDEA.
• Mark Bognanni, 2018. "A Class of Time-Varying Parameter Structural VARs for Inference under Exact or Set Identification," Working Papers (Old Series) 1811, Federal Reserve Bank of Cleveland.
• Honoré, Bo E. & Hu, Luojia, 2018. "Easy bootstrap-like estimation of asymptotic variances," Economics Letters, Elsevier, vol. 171(C), pages 46-50.
  • Bo E. Honore & Luojia Hu, 2018. "Easy Bootstrap-Like Estimation of Asymptotic Variances," Working Paper Series WP-2018-11, Federal Reserve Bank of Chicago.
• Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
  • Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 18-25/R, Federal Reserve Bank of Philadelphia.
  • Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 2018-13, FEDEA.
• Violeta Duță, 2018. "Relaţia dintre cursul de schimb valutar şi preţul bursier al băncilor comerciale pe piaţa financiară din România," Journal of Financial Studies, Institute of Financial Studies, vol. 4(3), pages 89-103, June.
• Violeta Duta, 2018. "Relationship between Foreign Exchange Rate and Stock Price of Commercial Banks in Romanian financial market," Scientific Papers 0014, Institute of Financial Studies.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-29, January.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 10, pages 1-29, October.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 11, pages 1-29, November.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 12, pages 1-29, December.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 2, pages 1-29, February.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-28, March.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-28, May.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-28, June.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-29, June.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-29, July.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2018. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-29, September.
• Abdelkader Derbali & Lamia Jamel, 2019. "Dependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Case of Greek Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 711-733, June.
  • Abdelkader Derbali & Lamia Jamel, 2018. "Dependence of default probability and recovery rate in structural credit risk models: Case of Greek banks," Post-Print hal-01695998, HAL.
• Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013430, HAL.
  • F. Borel-Mathurin & S. Loisel & J. Segers, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Débats économiques et financiers 32, Banque de France.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013547, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013517, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013437, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013545, HAL.
  • Stéphane Loisel, 2015. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013649, HAL.
  • Fabrice Borel-Mathurin & Stéphane Loisel & Johan Segers, 2017. "Re-evaluation of the capital charge in insurance after a large shock: empirical and theoretical views," EIOPA Financial Stability Report - Thematic Articles 10, EIOPA, Risks and Financial Stability Department.
  • Borel-Mathurin, Fabrice & Loisel, Stephane & Segers, Johan, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," LIDAM Discussion Papers ISBA 2017006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013437, HAL.
  • F. Borel-Mathurin & S. Loisel & J. Segers, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Débats économiques et financiers 32, Banque de France.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013547, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013430, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013517, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013545, HAL.
  • Stéphane Loisel, 2015. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013649, HAL.
  • Fabrice Borel-Mathurin & Stéphane Loisel & Johan Segers, 2017. "Re-evaluation of the capital charge in insurance after a large shock: empirical and theoretical views," EIOPA Financial Stability Report - Thematic Articles 10, EIOPA, Risks and Financial Stability Department.
  • Borel-Mathurin, Fabrice & Loisel, Stephane & Segers, Johan, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," LIDAM Discussion Papers ISBA 2017006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Lee, David, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," MPRA Paper 85575, University Library of Munich, Germany.
  • David Lee, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Working Papers hal-01758922, HAL.
  • David Lee, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," Papers 1804.02289, arXiv.org.
• Yamin Ahmad & Ming Chien Lo & Olena Staveley-O’Carroll, 2019. "Nonlinearities in the real exchange rates: new evidence from developed and developing countries," Applied Economics, Taylor & Francis Journals, vol. 51(25), pages 2731-2743, May.
  • Yamin Ahmad & Ming Chien Lo & Olena Staveley-O'Carroll, 2018. "Nonlinearities in the Real Exchange Rates: New Evidence from Developed and Developing Countries," Working Papers 1813, College of the Holy Cross, Department of Economics.
• Ma, Lin, 2018. "Importance of Demand and Supply Shocks for Oil Price Variations," Working Paper Series 10-2018, Norwegian University of Life Sciences, School of Economics and Business.
• Arlyana Abubakar & Rieska Indah Astuti & Rini Oktapiani, 2018. "Selection Of Early Warning Indicator To Identify Distress In The Corporate Sector: Crisis Prevention Strengthening Efforts," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 20(3), pages 1-32, January.
• Bernard Njindan Iyke, 2018. "Macro Determinants Of The Real Exchange Rate In A Small Open Small Island Economy:Evidence From Mauritius Via Bma," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(1), pages 1-24, July.
• Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
• Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifie & Yuanyuan Wan, 2018. "Testing Identifying Assumptions In Fuzzy Regression Discontinuity Designs," Working Papers tecipa-623, University of Toronto, Department of Economics.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2018. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP50/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP10/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Arun Advani & Tymon Słoczyński, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers 64/13, Institute for Fiscal Studies.
  • Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," Working Papers 124, Brandeis University, Department of Economics and International Business School.
  • Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
  • Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2018. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 11862, Institute of Labor Economics (IZA).
• Bianchi, Daniele & Billio, Monica & Casarin, Roberto & Guidolin, Massimo, 2019. "Modeling systemic risk with Markov Switching Graphical SUR models," Journal of Econometrics, Elsevier, vol. 210(1), pages 58-74.
  • Daniele Bianchi & Monica Billio & Roberto Casarin & Massimo Guidolin, 2018. "Modeling Systemic Risk with Markov Switching Graphical SUR Models," Working Papers 626, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Robert Tanton, 2018. "Spatial Microsimulation: Developments and Potential Future Directions," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 143-161.
• Mauri Kotamäki & Jukka Mattila & Jussi Tervola, 2018. "Distributional Impacts of Behavioral Effects – Ex-Ante Evaluation of the 2017 Unemployment Insurance Reform in Finland," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 146-168.
• Abbygail Jaccard & Lise Retat & Martin Brown & Laura Webber & Zaid Chalabi, 2018. "Global Sensitivity Analysis of a Model Simulating an Individual’s Health State through Their Lifetime," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 100-121.
• Abbygail Jaccard & Lise Retat & Martin Brown & Laura Webber & Zaid Chalabi, 2018. "Global Sensitivity Analysis of a Model Simulating an Individual’s Health State through Their Lifetime APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 122-133.
• Cathal O’Donoghue & Jinjing Li & Ilona Cserháti & Péter Elek & Tibor Keresztély & Tibor Takács, 2018. "The Distributional Impact of VAT Reduction for Food in Hungary: Results from a Hungarian Microsimulation Model," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 2-38.
• Chandan Kumar, 2018. "Role of Bidding Method and Risk Allocation in the Performance of Public Private Partnership (PPP) Projects," Working Papers id:12688, eSocialSciences.
  • Chandan Kumar, 2018. "Role of bidding method and risk allocation in the performance of public private partnership (PPP) projects," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2018-013, Indira Gandhi Institute of Development Research, Mumbai, India.
• Manuel Gebetsberger & Reto Stauffer & Georg J. Mayr & Achim Zeileis, 2018. "Skewed logistic distribution for statistical temperature post-processing in mountainous areas," Working Papers 2018-06, Faculty of Economics and Statistics, Universität Innsbruck.
• Groll, Andreas & Hambuckers, Julien & Kneib, Thomas & Umlauf, Nikolaus, 2019. "LASSO-type penalization in the framework of generalized additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, vol. 140(C), pages 59-73.
  • Andreas Groll & Julien Hambuckers & Thomas Kneib & Nikolaus Umlauf, 2018. "LASSO-Type Penalization in the Framework of Generalized Additive Models for Location, Scale and Shape," Working Papers 2018-16, Faculty of Economics and Statistics, Universität Innsbruck.
• Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
  • Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
  • Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
  • Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
• Alessi, Lucia & Benczur, Peter & Campolongo, Francesca & Cariboni, Jessica & Manca, Anna Rita & Menyhert, Balint & Pagano, Andrea, 2018. "The resilience of EU Member States to the financial and economic crisis. What are the characteristics of resilient behaviour?," JRC Research Reports JRC111606, Joint Research Centre (Seville site).
• Paulo M.D.C. Parente & Richard J. Smith, 2018. "Generalised Empirical Likelihood Kernel Block Bootstrapping," Working Papers REM 2018/55, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
  • Paulo M.D.C. Parente & Richard J. Smith, 2018. "Quasi-Maximum Likelihood and the Kernel Block Bootstrap for Nonlinear Dynamic Models," Working Papers REM 2018/59, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  • Paulo Parente & Richard J. Smith, 2019. "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers CWP60/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
  • Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2018. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 11862, Institute of Labor Economics (IZA).
  • Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," Working Papers 124, Brandeis University, Department of Economics and International Business School.
  • Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Arun Advani & Tymon Słoczyński, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers 64/13, Institute for Fiscal Studies.
• Alexander Konon & Alexander S. Kritikos, 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," Small Business Economics, Springer, vol. 53(1), pages 1-20, June.
  • Konon, Alexander & Kritikos, Alexander S., 2019. "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(1), pages 1-20.
  • Alexander Konon & Alexander Kritikos, 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," Discussion Papers of DIW Berlin 1763, DIW Berlin, German Institute for Economic Research.
  • Konon, Alexander & Kritikos, Alexander S., 2018. "Prediction Based on Entrepreneurship-Prone Personality Profiles: Sometimes Worse Than the Toss of a Coin," IZA Discussion Papers 11880, Institute of Labor Economics (IZA).
• Planas, Christophe & Rossi, Alessandro, 2018. "The slice sampler and centrally symmetric distributions," Working Papers 2018-11, Joint Research Centre, European Commission.
• Zhenxi Chen & Thomas Lux, 2018. "Estimation of Sentiment Effects in Financial Markets: A Simulated Method of Moments Approach," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 711-744, October.
  • Zhenxi, Chen & Lux, Thomas, 2015. "Estimation of sentiment effects in financial markets: A simulated method of moments approach," FinMaP-Working Papers 37, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Thomas Brenner & Matthias Duschl, 2018. "Modeling Firm and Market Dynamics: A Flexible Model Reproducing Existing Stylized Facts on Firm Growth," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 745-772, October.
• Amadeo Fuenmayor & Rafael Granell & Mauro Mediavilla, 2018. "The effects of separate taxation on labor participation of married couples. An empirical analysis using propensity score," Review of Economics of the Household, Springer, vol. 16(2), pages 541-561, June.
• Elena Bugudui & Ghenadie Ciobanu, 2018. "The Development of the Digital Economy in the Context of Regional Development in Romania," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(1), pages 213-220, March.
• Boros, Péter, 2018. "A hitelértékelési kiigazítás tőketartalékolásának új szabályozása [New regulation of the Credit Valuation Adjustment for capital reserves]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 161-184.
• Nusrat Fatema, 2018. "Stimulation of Efficient Employee Performance through Human Resource Management Practices: A Study on the Health Care Sector of Bangladesh," International Journal of Business and Social Research, LAR Center Press, vol. 8(1), pages 1-18, January.
• Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2020. "Skewness-adjusted bootstrap confidence intervals and confidence bands for impulse response functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 5-32, March.
  • Grabowski, Daniel & Staszewska-Bystrova, Anna, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181590, Verein für Socialpolitik / German Economic Association.
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," MAGKS Papers on Economics 201810, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," Lodz Economics Working Papers 1/2018, University of Lodz, Faculty of Economics and Sociology.
• Richard Ashley & Christopher F. Parmeter, 2018. "A Correction/Update to “When Is It Justifiable to Ignore Variable Endogeneity In A Regression Model?â€," Working Papers 2018-01, University of Miami, Department of Economics.
• Nusrat Fatema, 2018. "Stimulation of Efficient Employee Performance through Human Resource Management Practices: A Study on the Health Care Sector of Bangladesh," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 8(1), pages 1-18, January.
• Francesco Caloia & Andrea Cipollini & Silvia Muzzioli, 2018. "On the financial connectedness of the commodity market: a replication of the Diebold and Yilmaz (2012) study," Department of Economics 0131, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
• Taro Ohno & Takahiro Kodama & Ryutaro Matsumoto, 2018. "Decomposition Approach on Changes in Redistributive Effects of Taxes and Social Insurance Premiums," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 14(4), pages 777-802, July.
• Jørgen Vitting Andersen & Philippe de Peretti, 2018. "New method to detect convergence in simple multi-period market games with infinite large strategy spaces," Documents de travail du Centre d'Economie de la Sorbonne 18038, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
  • Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
  • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
• Francis Petterini & Diogo Signor & Pedro Santos, 2018. "O limítrofe do horário de verão: análises quase-experimentais do consumo de energia elétrica na Bahia e no Tocantins [The daylight saving borderline: quasi-experimental analysis of the electric power ," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 28(3), pages 943-964, September.
• Chakraborty, Lekha & Singh, Yadawendra, 2018. "Fiscal Policy, as the "Employer of Last Resort": Impact of MGNREGS on Labour Force Participation Rates in India," Working Papers 18/210, National Institute of Public Finance and Policy.
• James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
  • James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135.
  • James G. MacKinnon & Matthew D. Webb, 2017. "The Wild Bootstrap For Few (treated) Clusters," Working Paper 1364, Economics Department, Queen's University.
• Martin M Andreasen & Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2018. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," Review of Economic Studies, Oxford University Press, vol. 85(1), pages 1-49.
  • Martin M. Andreasen & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2013. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," CREATES Research Papers 2013-12, Department of Economics and Business Economics, Aarhus University.
  • Rubio-Ramírez, Juan Francisco & Fernández-Villaverde, Jesús & Andreasen, Martin M., 2013. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," CEPR Discussion Papers 9442, C.E.P.R. Discussion Papers.
  • Martin M. Andreasen & Jesús Fernández-Villaverde & Juan Rubio-Ramírez, 2013. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," NBER Working Papers 18983, National Bureau of Economic Research, Inc.
  • Martin M. Andreasen & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2016. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," Working Papers 2016-07, FEDEA.
• Andreas Kaeck, 2018. "Variance-of-Variance Risk Premium," Review of Finance, European Finance Association, vol. 22(4), pages 1549-1579.
• Kerstin Bruckmeier & Jürgen Wiemers, 2018. "Benefit Take-Up and Labor Supply Incentives of Interdependent Means-Tested Benefit Programs for Low-Income Households," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(4), pages 583-604, December.
• Bo Jiang & Bruce Philp & Zhongmin Wu, 2018. "Macro stress testing in the banking system of China," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(4), pages 287-298, November.
• Pedro Cosme da Costa Vieira, 2018. "The impact of corruption on economic growth, a bootstrapping analysis," FEP Working Papers 612, Universidade do Porto, Faculdade de Economia do Porto.
• Пигнастый, Олег, 2018. "Синтез Программного Управления Операционными Параметрами Поточной Линии [Synthesis of program control of operational parameters of a production line]," MPRA Paper 102418, University Library of Munich, Germany, revised 25 May 2018.
• Ghazouani, tarek, 2018. "Re-examining the Foreign direct investment, Renewable energy consumption and Economic growth nexus: Evidence from a new Bootstrap ARDL test for Cointegration," MPRA Paper 89975, University Library of Munich, Germany.
  • Ghazouani, tarek, 2018. "Reexamining the Foreign direct investment, Renewable energy consumption and Economic growth nexus: Evidence from a new Bootstrap ARDL test for Cointegration," MPRA Paper 103348, University Library of Munich, Germany, revised 11 Sep 2020.

2017

• Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory," Cahiers de recherche 14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Firmin Doko Tchatoka & Jean-Marie Dufour, 2017. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions: Invariance and Finite-Sample Distributional Theory," School of Economics Working Papers 2017-01, University of Adelaide, School of Economics.
  • Firmin Doko Tchatoka & Jean-Marie Dufour, 2016. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: invariance and finite-sample distributional theory," CIRANO Working Papers 2016s-62, CIRANO.
• Patrick GAGLIARDINI & Olivier SCAILLET, 2017. "A Specification Test for Nonparametric Instrumental Variable Regression," Annals of Economics and Statistics, GENES, issue 128, pages 151-202.
  • Patrick Gagliardini & Olivier Scaillet, 2007. "A Specification Test For Nonparametric Instrumental Variable Regression," Swiss Finance Institute Research Paper Series 07-13, Swiss Finance Institute.
• Stelios Arvanitis & Nikolas Topalogou, 2017. "Testing for Prospect and Markowitz stochastic dominance efficiency," Working Papers 201701, Athens University Of Economics and Business, Department of Economics.
• Fadel Hamid Hadi ALHUSSEINI, 2017. "Selection Of Variables Influencing Iraqi Banks Deposits By Using New Bayesian Lasso Quantile Regression," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 6(1), pages 46-59, JULY.
• James G. MacKinnon & Matthew D. Webb, 2017. "The Wild Bootstrap for Few (Treated) Clusters," Working Papers 1364, Queen's University, Department of Economics.
  • MacKinnon, James G. & Webb, Matthew D., 2017. "The Wild Bootstrap for Few (Treated) Clusters," Queen's Economics Department Working Papers 274690, Queen's University - Department of Economics.
• Antoine Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Working Papers 1383, Queen's University, Department of Economics.
  • Djogbenou, Antoine & MacKinnon, James G. & Orregaard Nielsen, Morten, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Queen's Economics Department Working Papers 274709, Queen's University - Department of Economics.
• James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Working Papers 1386, Queen's University, Department of Economics.
  • MacKinnon, James G. & Orregaard Nielsen, Morten & Webb, Matthew D., 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Queen's Economics Department Working Papers 274712, Queen's University - Department of Economics.
• James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
  • MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.
• Martin PAŽICKÃ, 2017. "Stock Price Simulation Using Bootstrap And Monte Carlo," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 64(2), pages 155-170, June.
• Fatih Tüysüz, 2017. "A Hybrid Multi-Criteria Analysis Approach for the Assessment of Renewable Energy Resources Under Uncertainty," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(2), pages 317-328, December.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
• Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019. "Indirect inference with a non-smooth criterion function," Journal of Econometrics, Elsevier, vol. 212(2), pages 623-645.
  • David T. Frazier & Tatsushi Oka & Dan Zhu, 2017. "Indirect Inference with a Non-Smooth Criterion Function," Papers 1708.02365, arXiv.org, revised Jul 2019.
• Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
  • Lenard Lieb & Stephan Smeekes, 2017. "Inference for Impulse Responses under Model Uncertainty," Papers 1709.09583, arXiv.org, revised Oct 2019.
• Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Maryna Tatar & Olena Sergienko & Sergii Kavun & Lidiya Guryanova, 2017. "Complex of Management Models of the Enterprise Competitiveness for Steel Industry in the Currency Instable Environment," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 102-124.
• Andrea Nocera, 2017. "Causes and Effects of Negative Definite Covariance Matrices in Swamy Type Random Coefficient Models," Birkbeck Working Papers in Economics and Finance 1704, Birkbeck, Department of Economics, Mathematics & Statistics.
• Zacharias Psaradakis & Marian Vavra, 2017. "Normality Tests for Dependent Data," Working and Discussion Papers WP 12/2017, Research Department, National Bank of Slovakia.
  • Zacharias Psaradakis & Marián Vávra, 2017. "Normality Tests for Dependent Data: Large-Sample and Bootstrap Approaches," Birkbeck Working Papers in Economics and Finance 1706, Birkbeck, Department of Economics, Mathematics & Statistics.
• Nicola Curci & Marco Savegnago & Marika Cioffi, 2017. "BIMic: the Bank of Italy microsimulation model for the Italian tax and benefit system," Questioni di Economia e Finanza (Occasional Papers) 394, Bank of Italy, Economic Research and International Relations Area.
• Daniele Coin, 2017. "A goodness-of-fit test for Generalized Error Distribution," Temi di discussione (Economic working papers) 1096, Bank of Italy, Economic Research and International Relations Area.
• Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
  • F. Borel-Mathurin & S. Loisel & J. Segers, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Débats économiques et financiers 32, Banque de France.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013517, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013437, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013547, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013545, HAL.
  • Stéphane Loisel, 2015. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013649, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013430, HAL.
  • Fabrice Borel-Mathurin & Stéphane Loisel & Johan Segers, 2017. "Re-evaluation of the capital charge in insurance after a large shock: empirical and theoretical views," EIOPA Financial Stability Report - Thematic Articles 10, EIOPA, Risks and Financial Stability Department.
  • Borel-Mathurin, Fabrice & Loisel, Stephane & Segers, Johan, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," LIDAM Discussion Papers ISBA 2017006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Legrand D. F. Saint-Cyr & Laurent Piet, 2017. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 777-795, August.
  • Saint-Cyr, Legrand D.F. & Piet, Laurent, 2015. "Movers and Stayers in the Farming Sector: Accounting for Unobserved Heterogeneity in Structural Change," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204234, Agricultural Economics Society.
  • Saint-Cyr, Legrand D.F. & Piet, Laurent, 2015. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Working Papers 208912, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
  • Legrand D.F. Saint-Cyr & Laurent Piet, 2015. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Working Papers SMART 15-06, INRAE UMR SMART.
• BRATIAN Vasile, 2017. "Options Evaluation Using Monte Carlo Simulation," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(4), pages 30-42, November.
• Jonnathan R. Cáceres Santos, 2017. "Riesgo de contagio en el sistema financiero boliviano – Análisis a través de redes de pagos interbancarios y del financiamiento de operaciones de crédito a empresas," Revista de Análisis del BCB, Banco Central de Bolivia, vol. 27(2), pages 91-118, July - De.
• Chevallier Julien & Goutte Stéphane, 2017. "On the estimation of regime-switching Lévy models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 3-29, February.
• Nazila Alinaghi & W. Robert Reed, 2016. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 16/26, University of Canterbury, Department of Economics and Finance.
  • Nazila Alinaghi & W. Robert Reed, 2017. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 17/04, University of Canterbury, Department of Economics and Finance.
  • Alinaghi, Nazila & Reed, W. Robert, 2017. "Meta-Analysis and Publication Bias: How Well Does the Fat-Pet-Peese Procedure Work?," Working Paper Series 20285, Victoria University of Wellington, Chair in Public Finance.
• Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2020. "Bootstrap methods for inference in the Parks model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-18.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2016. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 16/22, University of Canterbury, Department of Economics and Finance.
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2017. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 17/09, University of Canterbury, Department of Economics and Finance.
  • Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019. "Bootstrap methods for inference in the Parks model," Economics Discussion Papers 2019-39, Kiel Institute for the World Economy (IfW Kiel).
  • Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2018. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 18/13, University of Canterbury, Department of Economics and Finance.
• Ylenia Brilli, 2022. "Mother’s Time Allocation, Childcare, and Child Cognitive Development," Journal of Human Capital, University of Chicago Press, vol. 16(2), pages 233-272.
  • Brilli, Ylenia, 2015. "Mother's Time Allocation, Child Care and Child Cognitive Development," Economics Working Papers MWP2015/03, European University Institute.
  • Ylenia Brilli, 2017. "Mother's Time Allocation, Child Care and Child Cognitive Development," CHILD Working Papers Series 59 JEL Classification: D1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
  • Brilli, Ylenia, 2017. "Mother’s Time Allocation, Child Care and Child Cognitive Development," Working Papers in Economics 695, University of Gothenburg, Department of Economics.
  • Ylenia Brilli, 2021. "Mother's time allocation, child care and child cognitive development," Working Papers 2021: 30, Department of Economics, University of Venice "Ca' Foscari".
• M. Hashem Pesaran & Takashi Yamagata, 2017. "Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities," Discussion Papers 17/04, Department of Economics, University of York.
  • M. Hashem Pesaran & Takashi Yamagata, 2017. "Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities," CESifo Working Paper Series 6432, CESifo.
• Élise, COUDIN & Jean-Marie DUFOUR, 2017. "Finite-Sample Generalized Confidence Distributions and Sign-Based Robust Estimators in Median Regressions with Heterogeneous Dependent Errors," Cahiers de recherche 01-2017, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Elise Coudin & Jean-Marie Dufour, 2017. "Finite-sample generalized confidence distributions and sign-based robust estimators in median regressions with heterogenous dependent errors," CIRANO Working Papers 2017s-06, CIRANO.
• Jorge A. Paz, 2017. "Desigualdad persistente. Un ejercicio con datos de Argentina (1993-2015)," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 36(72), October.
• Preminger, Arie & Storti, Giuseppe, 2014. "Least squares estimation for GARCH (1,1) model with heavy tailed errors," MPRA Paper 59082, University Library of Munich, Germany.
  • PREMINGER Arie & STORTI Giuseppe, 2017. "Least squares estimation for GARCH (1,1) model with heavy tailed errors," LIDAM Discussion Papers CORE 2017015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
  • Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Luc BAUWENS & Jean-François CARPENTIER & Arnaud DUFAYS, 2017. "Autoregressive moving average infinite hidden Markov-switching models," LIDAM Reprints CORE 2836, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print hal-01795051, HAL.
• M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1706, Koc University-TUSIAD Economic Research Forum.
  • Kose, M. Ayhan & Ohnsorge, Franziska & Lakatos, Csilla & Stocker, Marc, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," CEPR Discussion Papers 11836, C.E.P.R. Discussion Papers.
  • M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The global role of the US economy: Linkages, policies and spillovers," CAMA Working Papers 2017-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Kose,Ayhan & Lakatos,Csilla & Ohnsorge,Franziska Lieselotte & Stocker,Marc, 2017. "The global role of the U.S. economy: linkages, policies and spillovers," Policy Research Working Paper Series 7962, The World Bank.
• Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2020. "Identification and Estimation in Non-Fundamental Structural VARMA Models," Review of Economic Studies, Oxford University Press, vol. 87(4), pages 1915-1953.
  • Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Identification and Estimation in Non-Fundamental Structural VARMA Models," Working Papers 2017-08, Center for Research in Economics and Statistics.
• Maurizio Baussola & Camilla Ferretti & Chiara Mussida, 2017. "Pitfall in labour market flows modeling: a Reappraisal," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1722, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
• Carrasco, Marine & Kotchoni, Rachidi, 2017. "Efficient Estimation Using The Characteristic Function," Econometric Theory, Cambridge University Press, vol. 33(2), pages 479-526, April.
  • Marine Carrasco & Rachidi Kotchoni, 2013. "Efficient estimation using the Characteristic Function," CIRANO Working Papers 2013s-22, CIRANO.
  • Marine Carrasco & Rachidi Kotchoni, 2013. "Efficient Estimation Using the Characteristic Function," Working Papers hal-00867850, HAL.
  • Marine Carrasco & Rachidi Kotchoni, 2017. "Efficient Estimation Using the Characteristic Function," Post-Print hal-01386060, HAL.
• Hounyo, Ulrich & Gonçalves, Sílvia & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility Under Market Microstructure Noise," Econometric Theory, Cambridge University Press, vol. 33(4), pages 791-838, August.
  • Ulrich Hounyo & Sílvia Goncalves & Nour Meddahi, 2013. "Bootstrapping pre-averaged realized volatility under market microstructure noise," CREATES Research Papers 2013-28, Department of Economics and Business Economics, Aarhus University.
  • Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," IDEI Working Papers 869, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," TSE Working Papers 17-809, Toulouse School of Economics (TSE).
  • Ulrich Hounyo & Silvia Gonçalves & Nour Meddahi, 2016. "Bootstrapping pre-averaged realized volatility under market microstructure noise," CIRANO Working Papers 2016s-25, CIRANO.
• Zapata, Samuel D. & Ribera, Luis A. & Palma, Marco A., 2017. "Effect Of Production Parameters On The Economic Feasibility Of A Biofuel Enterprise," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 49(3), pages 347-362, August.
  • Zapata, Samuel D. & Ribera, Luis A. & Palma, Marco, 2016. "Effect of Production Parameters On the Economic Feasibility of a Biofuel Enterprise," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229804, Southern Agricultural Economics Association.
• Cao, Jing & Stokes, Lynne, 2017. "Comparison of Different Ranking Methods in Wine Tasting," Journal of Wine Economics, Cambridge University Press, vol. 12(2), pages 203-210, May.
• Bahr Kadhim MOHAMMED & Monica ROMAN & Meshal Harbi ODAH & Ali SadigMohommed BAGER, 2017. "Testing Reliability: Factorial Design with Data from A Log-EpsilonSkew-Normal Distribution," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 143-160.
• Даниел Николаев, 2017. "Стойност Под Риск, Кохерентните Алтернативи Cvar И Evar – Ползи И Приложимост," Almanac of PhD Students, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, vol. 13(13 Year 2), pages 5-23.
• Goh, Soo Khoon & Sam, Chung Yan & McNown, Robert, 2017. "Re-examining foreign direct investment, exports, and economic growth in asian economies using a bootstrap ARDL test for cointegration," Journal of Asian Economics, Elsevier, vol. 51(C), pages 12-22.
• Marks, Joseph M. & Musumeci, Jim, 2017. "Misspecification in event studies," Journal of Corporate Finance, Elsevier, vol. 45(C), pages 333-341.
• Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
  • Jakob Grazzini & Matteo Richiardi & Mike Tsionas, 2015. "Bayesian Estimation of Agent-Based Models," Economics Papers 2015-W12, Economics Group, Nuffield College, University of Oxford.
  • Jakob Grazzini & Matteo G. Richiardi & Mike Tsionas, 2015. "Bayesian Estimation of Agent-Based Models," LABORatorio R. Revelli Working Papers Series 145, LABORatorio R. Revelli, Centre for Employment Studies.
• Jiang, Yonghong & Nie, He & Monginsidi, Joe Yohanes, 2017. "Co-movement of ASEAN stock markets: New evidence from wavelet and VMD-based copula tests," Economic Modelling, Elsevier, vol. 64(C), pages 384-398.
• Hu, Yang & Oxley, Les, 2017. "Are there bubbles in exchange rates? Some new evidence from G10 and emerging market economies," Economic Modelling, Elsevier, vol. 64(C), pages 419-442.
• Banerjee, Piyali & Arčabić, Vladimir & Lee, Hyejin, 2017. "Fourier ADL cointegration test to approximate smooth breaks with new evidence from Crude Oil Market," Economic Modelling, Elsevier, vol. 67(C), pages 114-124.
• Lourme, Alexandre & Maurer, Frantz, 2017. "Testing the Gaussian and Student's t copulas in a risk management framework," Economic Modelling, Elsevier, vol. 67(C), pages 203-214.
• Dimitrakopoulos, Stefanos, 2017. "Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility," Economics Letters, Elsevier, vol. 150(C), pages 10-14.
• Dimitrakopoulos, Stefanos & Dey, Dipak K., 2017. "Discrete-response state space models with conditional heteroscedasticity: An application to forecasting the federal funds rate target," Economics Letters, Elsevier, vol. 154(C), pages 20-23.
• Rao, Yao & McCabe, Brendan, 2017. "Is MORE LESS? The role of data augmentation in testing for structural breaks," Economics Letters, Elsevier, vol. 155(C), pages 131-134.
• Dimitrakopoulos, Stefanos, 2017. "The semiparametric asymmetric stochastic volatility model with time-varying parameters: The case of US inflation," Economics Letters, Elsevier, vol. 155(C), pages 14-18.
• Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017. "On weak identification in structural VARMA models," Economics Letters, Elsevier, vol. 156(C), pages 1-6.
• Cheng, Tingting & Yan, Cheng, 2017. "Evaluating the size of the bootstrap method for fund performance evaluation," Economics Letters, Elsevier, vol. 156(C), pages 36-41.
• Omay, Tolga & Emirmahmutoglu, Furkan & Denaux, Zulal S., 2017. "Nonlinear error correction based cointegration test in panel data," Economics Letters, Elsevier, vol. 157(C), pages 1-4.
• Kaffo, Maximilien & Wang, Wenjie, 2017. "On bootstrap validity for specification testing with many weak instruments," Economics Letters, Elsevier, vol. 157(C), pages 107-111.
• Zhang, Yonghui & Zhou, Qiankun & Jiang, Li, 2017. "Panel kink regression with an unknown threshold," Economics Letters, Elsevier, vol. 157(C), pages 116-121.
• Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
• Yang, Lixiong & Lee, Chingnun & Su, Jen-Je, 2017. "Behavior of the standard Dickey–Fuller test when there is a Fourier-form break under the null hypothesis," Economics Letters, Elsevier, vol. 159(C), pages 128-133.
• Richard, Patrick, 2017. "Robust heteroskedasticity-robust tests," Economics Letters, Elsevier, vol. 159(C), pages 28-32.
• Jiang, Shifu, 2017. "The cause of an integral correction mechanism of the real exchange rate," Economics Letters, Elsevier, vol. 161(C), pages 66-70.
• Andrews, Donald W.K. & Shi, Xiaoxia, 2017. "Inference based on many conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 196(2), pages 275-287.
  • Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
  • Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010, Cowles Foundation for Research in Economics, Yale University.
• Francq, C. & Jiménez-Gamero, M.D. & Meintanis, S.G., 2017. "Tests for conditional ellipticity in multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 196(2), pages 305-319.
• Hounyo, Ulrich, 2017. "Bootstrapping integrated covariance matrix estimators in noisy jump–diffusion models with non-synchronous trading," Journal of Econometrics, Elsevier, vol. 197(1), pages 130-152.
• Hounyo, Ulrich & Varneskov, Rasmus T., 2017. "A local stable bootstrap for power variations of pure-jump semimartingales and activity index estimation," Journal of Econometrics, Elsevier, vol. 198(1), pages 10-28.
• Kristensen, Dennis & Salanié, Bernard, 2017. "Higher-order properties of approximate estimators," Journal of Econometrics, Elsevier, vol. 198(2), pages 189-208.
  • Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers CWP45/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
• Arvanitis, Stelios & Topaloglou, Nikolas, 2017. "Testing for prospect and Markowitz stochastic dominance efficiency," Journal of Econometrics, Elsevier, vol. 198(2), pages 253-270.
• Davidson, Russell, 2017. "A discrete model for bootstrap iteration," Journal of Econometrics, Elsevier, vol. 201(2), pages 228-236.
  • Russell Davidson, 2015. "A discrete model for bootstrap iteration," CeMMAP working papers 38/15, Institute for Fiscal Studies.
  • Russell Davidson, 2017. "A discrete model for bootstrap iteration," Post-Print hal-01658497, HAL.
  • Russell Davidson, 2015. "A discrete model for bootstrap iteration," CeMMAP working papers CWP38/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Burdejova, P. & Härdle, W. & Kokoszka, P. & Xiong, Q., 2017. "Change point and trend analyses of annual expectile curves of tropical storms," Econometrics and Statistics, Elsevier, vol. 1(C), pages 101-117.
  • P. Burdejova & W.K. Härdle & Kokoszka & Q.Xiong, 2015. "Change point and trend analyses of annual expectile curves of tropical storms," SFB 649 Discussion Papers SFB649DP2015-029, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
• Kiviet, Jan F. & Pleus, Milan, 2017. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Econometrics and Statistics, Elsevier, vol. 2(C), pages 1-21.
  • Jan F. KIVIET & Milan PLEUS, 2012. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Economic Growth Centre Working Paper Series 1208, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
• Psaradakis, Zacharias & Vávra, Marián, 2017. "A distance test of normality for a wide class of stationary processes," Econometrics and Statistics, Elsevier, vol. 2(C), pages 50-60.
  • Marian Vavra, 2015. "Testing for normality with applications," Working and Discussion Papers WP 1/2015, Research Department, National Bank of Slovakia.
  • Zacharias Psaradakis & Marián Vávra, 2015. "A Distance Test of Normality for a Wide Class of Stationary Processes," Birkbeck Working Papers in Economics and Finance 1513, Birkbeck, Department of Economics, Mathematics & Statistics.
• Karaman Örsal, Deniz Dilan & Arsova, Antonia, 2017. "Meta-analytic cointegrating rank tests for dependent panels," Econometrics and Statistics, Elsevier, vol. 2(C), pages 61-72.
  • Deniz Dilan Karaman Örsal & Antonia Arsova, 2015. "Meta-analytic cointegrating rank tests for dependent panels," Working Paper Series in Economics 349, University of Lüneburg, Institute of Economics.
• Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
  • Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Other publications TiSEM c592e895-1656-43c3-8c7e-f, Tilburg University, School of Economics and Management.
  • Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Discussion Paper 2015-035, Tilburg University, Center for Economic Research.
• Cerqueti, Roy & Falbo, Paolo & Pelizzari, Cristian, 2017. "Relevant states and memory in Markov chain bootstrapping and simulation," European Journal of Operational Research, Elsevier, vol. 256(1), pages 163-177.
  • Cerqueti, Roy & Falbo, Paolo & Pelizzari, Cristian, 2013. "Relevant States and Memory in Markov Chain Bootstrapping and Simulation," MPRA Paper 46250, University Library of Munich, Germany.
• Illukpitiya, Prabodh & Reddy, K.C. & Bansal, Ankit, 2017. "Modeling net energy balance of ethanol production from native warm season grasses," Energy Economics, Elsevier, vol. 64(C), pages 346-352.
• Aquila, Giancarlo & Rotela Junior, Paulo & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo, 2017. "Wind power feasibility analysis under uncertainty in the Brazilian electricity market," Energy Economics, Elsevier, vol. 65(C), pages 127-136.
• Gonzalez, Jhonny & Moriarty, John & Palczewski, Jan, 2017. "Bayesian calibration and number of jump components in electricity spot price models," Energy Economics, Elsevier, vol. 65(C), pages 375-388.
• Farzanegan, Mohammad Reza & Habibpour, Mohammad Mahdi, 2017. "Resource rents distribution, income inequality and poverty in Iran," Energy Economics, Elsevier, vol. 66(C), pages 35-42.
• Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017. "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," Energy Economics, Elsevier, vol. 67(C), pages 300-314.
  • Jerome Dumortier & Nathan S. Kauffman & Dermot J. Hayes, 2016. "Production and Spatial Distribution of Switchgrass and Miscanthus in the United States under Uncertainty and Sunk Cost," Center for Agricultural and Rural Development (CARD) Publications 16-wp568, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  • Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017. "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," ISU General Staff Papers 201709010700001686, Iowa State University, Department of Economics.
• Eom, Cheoljun & Park, Jong Won, 2017. "Effects of common factors on stock correlation networks and portfolio diversification," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 1-11.
• Zarrabi, Nima & Snaith, Stuart & Coakley, Jerry, 2017. "FX technical trading rules can be profitable sometimes!," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 113-127.
• Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
  • Degiannakis, Stavros & Potamia, Artemis, 2016. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: inter-day versus intra-day data," MPRA Paper 74670, University Library of Munich, Germany.
• Smith, Simon C., 2017. "Equity premium estimates from economic fundamentals under structural breaks," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 49-61.
• Mendes, Beatriz Vaz de Melo & Lavrado, Rafael Coelho, 2017. "Implementing and testing the Maximum Drawdown at Risk," Finance Research Letters, Elsevier, vol. 22(C), pages 95-100.
• Benczur, Peter & Cannas, Giuseppina & Cariboni, Jessica & Di Girolamo, Francesca & Maccaferri, Sara & Petracco Giudici, Marco, 2017. "Evaluating the effectiveness of the new EU bank regulatory framework: A farewell to bail-out?," Journal of Financial Stability, Elsevier, vol. 33(C), pages 207-223.
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
  • Haroon Mumtaz & Konstantinos Theodoridis, 2015. "Common and Country Specific Economic Uncertainty," Working Papers 752, Queen Mary University of London, School of Economics and Finance.
• Hao, Xuemiao & Liang, Chunli & Wei, Linghua, 2017. "Evaluation of credit value adjustment in K-forward," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 95-103.
• García-Céspedes, Rubén & Moreno, Manuel, 2017. "An approximate multi-period Vasicek credit risk model," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 105-113.
• Buncic, Daniel & Gisler, Katja I.M., 2017. "The role of jumps and leverage in forecasting volatility in international equity markets," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 1-19.
• Padmakumari, Lakshmi & S., Maheswaran, 2017. "A new statistic to capture the level dependence in stock price volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 355-362.
• Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.
• Mezghani, Imed & Ben Haddad, Hedi, 2017. "Energy consumption and economic growth: An empirical study of the electricity consumption in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 145-156.
• Cai, Yumei & Cui, Xiaomei & Huang, Qianyun & Sun, Jianqiang, 2017. "Hierarchy, cluster, and time-stable information structure of correlations between international financial markets," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 562-573.
• Smimou, K., 2017. "Does gold Liquidity learn from the greenback or the equity?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 461-479.
• M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1706, Koc University-TUSIAD Economic Research Forum.
  • M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The global role of the US economy: Linkages, policies and spillovers," CAMA Working Papers 2017-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Kose, M. Ayhan & Ohnsorge, Franziska & Lakatos, Csilla & Stocker, Marc, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," CEPR Discussion Papers 11836, C.E.P.R. Discussion Papers.
  • Kose,Ayhan & Lakatos,Csilla & Ohnsorge,Franziska Lieselotte & Stocker,Marc, 2017. "The global role of the U.S. economy: linkages, policies and spillovers," Policy Research Working Paper Series 7962, The World Bank.
• Altaras Penda Ivor, 2017. "Je li dobit kompanija dobar prediktor za kretanje cijena dionica na ZSE?," FIP - Journal of Finance and Law, Effectus - University College for Law and Finance, vol. 5(1), pages 29-60.
• Dassios, Angelos & Zhao, Hongbiao, 2017. "Efficient simulation of clustering jumps with CIR intensity," LSE Research Online Documents on Economics 74205, London School of Economics and Political Science, LSE Library.
• Boj del Val, Eva & Costa Cor, Teresa, 2017. "Provisions for claims outstanding, incurred but not reported, with generalized linear models: prediction error formulated according to calendar year," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
• Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2019. "Computation of the corrected Cornish–Fisher expansion using the response surface methodology: application to VaR and CVaR," Annals of Operations Research, Springer, vol. 281(1), pages 423-453, October.
  • Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2017. "Computation of the Corrected Cornish-Fisher Expansion using the Response Surface Methodology: Application to V aR and CV aR," THEMA Working Papers 2017-21, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
• Otávio Bartalotti & Gray Calhoun & Yang He, 2017. "Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 421-453, Emerald Group Publishing Limited.
  • Bartalotti, Otávio & Calhoun, Gray & He, Yang, 2017. "Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs," ISU General Staff Papers 201701010800001003, Iowa State University, Department of Economics.
• Diego Ferreira & Andreza Aparecida Palma, 2017. "Assessing the effect of inflation uncertainty on inflation: further evidences for Latin America," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(4), pages 506-517, September.
• Niu, Cuizhen & Guo, Xu & McAleer, Michael & Wong, Wing-Keung, 2018. "Theory and application of an economic performance measure of risk," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 383-396.
  • Cuizhen Niu & Xu Guo & Wing-Keung Wong & Michael McAleer, 2017. "Theory and Application of an Economic Performance Measure of Risk," Documentos de Trabajo del ICAE 2017-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Niu, C. & Guo, X. & McAleer, M.J. & Wong, W.-K., 2017. "Theory and Application of an Economic Performance Measure of Risk," Econometric Institute Research Papers EI2017-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Cuizhen Niu & Xu Guo & Michael McAleer & Wing-Keung Wong, 2017. "Theory and Application of an Economic Performance Measure of Risk," Tinbergen Institute Discussion Papers 17-055/III, Tinbergen Institute.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
• Andrew Y. Chen & Rebecca Wasyk & Fabian Winkler, 2017. "A Likelihood-Based Comparison of Macro Asset Pricing Models," Finance and Economics Discussion Series 2017-024, Board of Governors of the Federal Reserve System (U.S.).
• Filip Zikes, 2017. "Measuring Transaction Costs in the Absence of Timestamps," Finance and Economics Discussion Series 2017-045, Board of Governors of the Federal Reserve System (U.S.).
• Debnath, Deepayan & Babu, Suresh Chandra & Ghosh, Parijat & Helmer, Michael, 2017. "Impact of India’s National Food Security Act on domestic and international rice markets," IFPRI discussion papers 1635, International Food Policy Research Institute (IFPRI).
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-30, January.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 10, pages 1-29, October.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 11, pages 1-29, November.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 12, pages 1-28, December.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 2, pages 1-30, February.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-30, March.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-30, April.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-30, May.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-30, July.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-29, July.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 8, pages 1-29, August.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2017. "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-29, September.
• Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
  • Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
  • Jan Frederik Kiviet & Milan Pleus & Rutger Poldermans, 2015. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," CESifo Working Paper Series 5189, CESifo.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
• Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Documents de travail du Centre d'Economie de la Sorbonne 17006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01442618, HAL.
• Davidson, Russell, 2017. "A discrete model for bootstrap iteration," Journal of Econometrics, Elsevier, vol. 201(2), pages 228-236.
  • Russell Davidson, 2015. "A discrete model for bootstrap iteration," CeMMAP working papers CWP38/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Russell Davidson, 2017. "A discrete model for bootstrap iteration," Post-Print hal-01658497, HAL.
  • Russell Davidson, 2015. "A discrete model for bootstrap iteration," CeMMAP working papers 38/15, Institute for Fiscal Studies.
• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
  • Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print hal-01795051, HAL.
  • Luc BAUWENS & Jean-François CARPENTIER & Arnaud DUFAYS, 2017. "Autoregressive moving average infinite hidden Markov-switching models," LIDAM Reprints CORE 2836, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013517, HAL.
  • F. Borel-Mathurin & S. Loisel & J. Segers, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Débats économiques et financiers 32, Banque de France.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013547, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013430, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013437, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013545, HAL.
  • Stéphane Loisel, 2015. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013649, HAL.
  • Fabrice Borel-Mathurin & Stéphane Loisel & Johan Segers, 2017. "Re-evaluation of the capital charge in insurance after a large shock: empirical and theoretical views," EIOPA Financial Stability Report - Thematic Articles 10, EIOPA, Risks and Financial Stability Department.
  • Borel-Mathurin, Fabrice & Loisel, Stephane & Segers, Johan, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," LIDAM Discussion Papers ISBA 2017006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013545, HAL.
  • F. Borel-Mathurin & S. Loisel & J. Segers, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Débats économiques et financiers 32, Banque de France.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013547, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013430, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013517, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013437, HAL.
  • Stéphane Loisel, 2015. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013649, HAL.
  • Fabrice Borel-Mathurin & Stéphane Loisel & Johan Segers, 2017. "Re-evaluation of the capital charge in insurance after a large shock: empirical and theoretical views," EIOPA Financial Stability Report - Thematic Articles 10, EIOPA, Risks and Financial Stability Department.
  • Borel-Mathurin, Fabrice & Loisel, Stephane & Segers, Johan, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," LIDAM Discussion Papers ISBA 2017006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013547, HAL.
  • F. Borel-Mathurin & S. Loisel & J. Segers, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Débats économiques et financiers 32, Banque de France.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013430, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013517, HAL.
  • Stéphane Loisel, 2018. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013437, HAL.
  • Stéphane Loisel, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013545, HAL.
  • Stéphane Loisel, 2015. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013649, HAL.
  • Fabrice Borel-Mathurin & Stéphane Loisel & Johan Segers, 2017. "Re-evaluation of the capital charge in insurance after a large shock: empirical and theoretical views," EIOPA Financial Stability Report - Thematic Articles 10, EIOPA, Risks and Financial Stability Department.
  • Borel-Mathurin, Fabrice & Loisel, Stephane & Segers, Johan, 2017. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," LIDAM Discussion Papers ISBA 2017006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 281-324, August.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," SciencePo Working papers Main hal-03471817, HAL.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
• Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 281-324, August.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," SciencePo Working papers Main hal-03471817, HAL.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Hirsch, Tristan & Rinke, Saskia, 2017. "Changes in Persistence in Outlier Contaminated Time Series," Hannover Economic Papers (HEP) dp-583, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Vanella, Patrizio & Deschermeier, Philipp, 2017. "Ein stochastisches Prognosemodell internationaler Migration in Deutschland," Hannover Economic Papers (HEP) dp-605, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Ylenia Brilli, 2022. "Mother’s Time Allocation, Childcare, and Child Cognitive Development," Journal of Human Capital, University of Chicago Press, vol. 16(2), pages 233-272.
  • Brilli, Ylenia, 2015. "Mother's Time Allocation, Child Care and Child Cognitive Development," Economics Working Papers MWP2015/03, European University Institute.
  • Brilli, Ylenia, 2017. "Mother’s Time Allocation, Child Care and Child Cognitive Development," Working Papers in Economics 695, University of Gothenburg, Department of Economics.
  • Ylenia Brilli, 2017. "Mother's Time Allocation, Child Care and Child Cognitive Development," CHILD Working Papers Series 59 JEL Classification: D1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
  • Ylenia Brilli, 2021. "Mother's time allocation, child care and child cognitive development," Working Papers 2021: 30, Department of Economics, University of Venice "Ca' Foscari".
• Taras Bodnar & Stepan Mazur & Nestor Parolya, 2019. "Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix‐variate location mixture of normal distributions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 46(2), pages 636-660, June.
  • Bodnar, Taras & Mazur, Stepan & Parolya, Nestor, 2017. "Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions," Working Papers 2017:5, Örebro University, School of Business.
• Bodnar, Taras & Mazur, Stepan & Muhinyuza, Stanislas & Parolya, Nestor, 2017. "On the product of a singular Wishart matrix and a singular Gaussian vector in high dimensions," Working Papers 2017:7, Örebro University, School of Business.
• Daniel Buncic, 2019. "Identification and Estimation Issues in Exponential Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 667-685, June.
  • Buncic, Daniel, 2017. "Identification and Estimation issues in Exponential Smooth Transition Autoregressive Models," Working Paper Series 344, Sveriges Riksbank (Central Bank of Sweden).
• KUROZUMI, Eiji & 黒住, 英司, 2017. "Confidence Sets for the Date of a Mean Shift at the End of a Sample," Discussion Papers 2017-06, Graduate School of Economics, Hitotsubashi University.
• Hiroshi SAKAMOTO, 2017. "Economic Contagion Under Uncertainty: Cge With A Monte Carlo Experiment," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 195-208, June.
• Benedetta Frassi & Fabio Pammolli & Luca Regis, 2017. "The potential costs of Longevity Risk on Public Pensions. Evidence from Italian data," Working Papers 01/2017, IMT School for Advanced Studies Lucca, revised Jan 2017.
• Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017. "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 88-102, November.
• Hounyo, Ulrich & Gonçalves, Sílvia & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility Under Market Microstructure Noise," Econometric Theory, Cambridge University Press, vol. 33(4), pages 791-838, August.
  • Ulrich Hounyo & Sílvia Goncalves & Nour Meddahi, 2013. "Bootstrapping pre-averaged realized volatility under market microstructure noise," CREATES Research Papers 2013-28, Department of Economics and Business Economics, Aarhus University.
  • Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," IDEI Working Papers 869, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," TSE Working Papers 17-809, Toulouse School of Economics (TSE).
  • Ulrich Hounyo & Silvia Gonçalves & Nour Meddahi, 2016. "Bootstrapping pre-averaged realized volatility under market microstructure noise," CIRANO Working Papers 2016s-25, CIRANO.
• Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
  • Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
• Xiaodong Gong & Robert Breunig, 2017. "Childcare Assistance: Are Subsidies or Tax Credits Better?," Fiscal Studies, Institute for Fiscal Studies, vol. 38, pages 7-48, March.
  • Gong, Xiaodong & Breunig, Robert, 2012. "Child Care Assistance: Are Subsidies or Tax Credits Better?," IZA Discussion Papers 6606, Institute of Labor Economics (IZA).
• Francesca Gastaldi & Paolo Liberati & Elena Pisano & Simone Tedeschi, 2017. "Regressivity-Reducing VAT Reforms," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 39-72.
• M Luisa Maitino & Letizia Ravagli & Nicola Sciclone, 2017. "Microreg: A Traditional Tax-Benefit Microsimulation Model Extended To Indirect Taxes And In Kind Transfers," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 5-38.
• Veronica Amarante, 2017. "Inequality and Household Size: A Microsimulation for Uruguay," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 73-105.
• Agnieszka M. Werpachowska & Roman Werpachowski, 2017. "Microsimulations of Demographic Changes in England and Wales Under Different EU Referendum Scenarios," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 103-117.
• Stavroula A Chrysanthopoulou, 2017. "MILC: A Microsimulation Model of the Natural History of Lung Cancer," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 5-26.
• Artur-Emilian SIMION & Florentina Viorica GHEORGHE & Gheorghe ZAMAN, 2017. "Exporting high-growth enterprises, including gazelles, in Romania," Romanian Journal of Economics, Institute of National Economy, vol. 45(2(54)), pages 43-62, December.
• Manuel Gebetsberger & Jakob W. Messner & Georg J. Mayr & Achim Zeileis, 2017. "Estimation methods for non-homogeneous regression models: Minimum continuous ranked probability score vs. maximum likelihood," Working Papers 2017-23, Faculty of Economics and Statistics, Universität Innsbruck.
• Otávio Bartalotti & Gray Calhoun & Yang He, 2017. "Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 421-453, Emerald Group Publishing Limited.
  • Bartalotti, Otávio & Calhoun, Gray & He, Yang, 2017. "Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs," ISU General Staff Papers 201701010800001003, Iowa State University, Department of Economics.
• Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017. "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," Energy Economics, Elsevier, vol. 67(C), pages 300-314.
  • Jerome Dumortier & Nathan S. Kauffman & Dermot J. Hayes, 2016. "Production and Spatial Distribution of Switchgrass and Miscanthus in the United States under Uncertainty and Sunk Cost," Center for Agricultural and Rural Development (CARD) Publications 16-wp568, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  • Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017. "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," ISU General Staff Papers 201709010700001686, Iowa State University, Department of Economics.
• Isabel Narbón-Perpiñá & Mª Teresa Balaguer-Coll & Marko Petrovic & Emili Tortosa-Ausina, 2017. "Which estimator to measure local governments’ cost efficiency? An application to Spanish municipalities," Working Papers 2017/06, Economics Department, Universitat Jaume I, Castellón (Spain).
• Alessi, Lucia & Cannas, Giuseppina & Maccaferri, Sara & Petracco Giudici, Marco, 2017. "The European Deposit Insurance Scheme: Assessing risk absorption via SYMBOL," Working Papers 2017-12, Joint Research Centre, European Commission.
• Robert Kirkby, 2017. "A Toolkit for Value Function Iteration," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 1-15, January.
• Marta Biancardi & Giovanni Villani, 2017. "Robust Monte Carlo Method for R&D Real Options Valuation," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 481-498, March.
• Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 281-324, August.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," SciencePo Working papers Main hal-03471817, HAL.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
• Philip A. Ernst & James R. Thompson & Yinsen Miao, 2017. "Tukey’s transformational ladder for portfolio management," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(3), pages 317-355, August.
• Min Deng & Wentao Yang & Qiliang Liu & Yunfei Zhang, 2017. "A divide-and-conquer method for space–time series prediction," Journal of Geographical Systems, Springer, vol. 19(1), pages 1-19, January.
• Marta R. Casanova & Vicente Orts & José M. Albert, 2017. "Sectoral scope and colocalisation of Spanish manufacturing industries," Journal of Geographical Systems, Springer, vol. 19(1), pages 65-92, January.
• German Blanco, 2017. "Who benefits from job placement services? A two-sided analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 33-47, February.
• Alfred A. Haug & Vincent C. Blackburn, 2017. "Government secondary school finances in New South Wales: accounting for students’ prior achievements in a two-stage DEA at the school level," Journal of Productivity Analysis, Springer, vol. 48(1), pages 69-83, August.
• Takahiro Hoshino & Ryosuke Igari, 2017. "Quasi-Bayesian Inference for Latent Variable Models with External Information: Application to generalized linear mixed models for biased data," Keio-IES Discussion Paper Series 2017-014, Institute for Economics Studies, Keio University.
• Igari Ryosuke & Takahiro Hoshino, 2017. "Semiparametric Quasi-Bayesian Inference with Dirichlet Process Priors: Application to Nonignorable Missing Responses," Keio-IES Discussion Paper Series 2017-020, Institute for Economics Studies, Keio University.
• Hiroyuki Watanabe, 2017. "A Pragmatic Method for Model-Selection Based on the Widely Applicable Bayesian Information Criterion," Discussion Paper Series DP2017-20, Research Institute for Economics & Business Administration, Kobe University.
• Kose,Ayhan & Lakatos,Csilla & Ohnsorge,Franziska Lieselotte & Stocker,Marc, 2017. "The global role of the U.S. economy: linkages, policies and spillovers," Policy Research Working Paper Series 7962, The World Bank.
  • M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1706, Koc University-TUSIAD Economic Research Forum.
  • M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The global role of the US economy: Linkages, policies and spillovers," CAMA Working Papers 2017-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Kose, M. Ayhan & Ohnsorge, Franziska & Lakatos, Csilla & Stocker, Marc, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," CEPR Discussion Papers 11836, C.E.P.R. Discussion Papers.
• Aleksandr Viktor CHERNOVALOV & Pavel Viktor CHERNOVALOV, 2017. "Instytucionalistics," Journal of Economics and Political Economy, KSP Journals, vol. 4(1), pages 121-126, March.
• Mehmet BÖLÜKBAÞ, 2017. "18. International symposium on econometrics operation research and statistics," Journal of Economics Library, KSP Journals, vol. 4(3), pages 402-403, September.
• Benchimol, Andrés, 2017. "Proyección de mortalidad en España mediante mixturas de modelos y análisis del impacto económico del riesgo de longevidad /Mortality Projection in Spain through Mixtures of Models and Analysis of the ," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 341-366, Mayo.
• Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov switching in autoregressive models," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 713-727, October.
  • Jean-Marie DUFOUR & Richard LUGER, 2016. "Identification-Robust Moment-Based Tests for Markov-Switching in Autoregressive Models," Cahiers de recherche 15-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov-switching in autoregressive models," Cahiers de recherche 1701, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
  • Jean-Marie Dufour & Richard Luger, 2016. "Identification-robust moment-based tests for Markov-switching in autoregressive models," CIRANO Working Papers 2016s-63, CIRANO.
• Vincent Boucher, 2017. "The Estimation of Network Formation Games with Positive Spillovers," Cahiers de recherche 1710, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
• Boldea, Otilia & Cornea-Madeira, Adriana & Hall, Alastair R., 2019. "Bootstrapping structural change tests," Journal of Econometrics, Elsevier, vol. 213(2), pages 359-397.
  • Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2017. "Bootstrapping Structural Change Tests," Economics Discussion Paper Series 1704, Economics, The University of Manchester.
  • Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.
• Paola CHIODINI & Giancarlo MANZI & Bianca Maria MARTELLI & Flavio VERRECCHIA, 2017. "Divide, Allocate et Impera: Comparing Allocation Strategies via Simulation," Departmental Working Papers 2017-09, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
• Taro Ohno & Takahiro Kodama, 2017. "Estimation of Tax and Social Insurance Burden on Households: Verification of the Validity and Assessment of Actual Status," Discussion papers ron289, Policy Research Institute, Ministry of Finance Japan.
• Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01442618, HAL.
  • Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Documents de travail du Centre d'Economie de la Sorbonne 17006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Impact of multimodality of distributions on VaR and ES calculations," Documents de travail du Centre d'Economie de la Sorbonne 17019, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Jørgen Vitting Andersen & Philippe de Peretti, 2017. "New method to detect convergence in simple multi-period market games," Documents de travail du Centre d'Economie de la Sorbonne 17058, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Tingting Cheng & Jiti Gao & Peter CB Phillips, 2017. "Bayesian estimation based on summary statistics: Double asymptotics and practice," Monash Econometrics and Business Statistics Working Papers 4/17, Monash University, Department of Econometrics and Business Statistics.
• Jiang, Bin & Yang, Yanrong & Gao, Jiti & Hsiao, Cheng, 2021. "Recursive estimation in large panel data models: Theory and practice," Journal of Econometrics, Elsevier, vol. 224(2), pages 439-465.
  • Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.
• Ban Kheng Tan & Anastasios Panagiotelis & George Athanasopoulos, 2017. "Bayesian Inference for a 1-Factor Copula Model," Monash Econometrics and Business Statistics Working Papers 6/17, Monash University, Department of Econometrics and Business Statistics.
• Elise Coudin & Jean-Marie Dufour, 2017. "Finite-sample generalized confidence distributions and sign-based robust estimators in median regressions with heterogenous dependent errors," CIRANO Working Papers 2017s-06, CIRANO.
  • Élise, COUDIN & Jean-Marie DUFOUR, 2017. "Finite-Sample Generalized Confidence Distributions and Sign-Based Robust Estimators in Median Regressions with Heterogeneous Dependent Errors," Cahiers de recherche 01-2017, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
• Jaime Fabián Díaz Córdova & Edisson Coba Molina & Paúl Navarrete López, 2017. "Lógica difusa y el riesgo financiero. Una propuestade clasificación de riesgo financiero al sectorcooperativo," Contaduría y Administración, Accounting and Management, vol. 62(5), pages 31-32, Diciembre.
• Jaime Fabián Díaz Córdova & Edisson Coba Molina & Paúl Navarrete López, 2017. "Fuzzy logic and financial risk. A proposed classificationof financial risk to the cooperative sector," Contaduría y Administración, Accounting and Management, vol. 62(5), pages 33-34, Diciembre.
• Stanisław Urbański, 2017. "Short-, medium- and long-run performance persistence of investment funds in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 48(4), pages 343-374.
• Siem Koopman & André Lucas & Marcin Zamojski, 2017. "Dynamic term structure models with score-driven time-varying parameters: estimation and forecasting," NBP Working Papers 258, Narodowy Bank Polski.
• Jangho Yang, 2017. "An Entropy-Constrained Model of Induced Technical Change with a Single Innovation Possibility Frontier," Working Papers 1714, New School for Social Research, Department of Economics.
• Knut L. Seip, 2017. "Does tax reduction have an effect on gross domestic product? An empirical investigation," Working Papers 201701, Oslo Metropolitan University, Oslo Business School.
• P. Gagliardini & E. Ghysels & M. Rubin, 2017. "Indirect Inference Estimation of Mixed Frequency Stochastic Volatility State Space Models using MIDAS Regressions and ARCH Models," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(4), pages 509-560.
  • Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016. "Indirect Inference Estimation of Mixed Frequency Stochastic Volatility State Space Models Using MIDAS Regressions and ARCH Models," Swiss Finance Institute Research Paper Series 16-46, Swiss Finance Institute.
• Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
• Kingsley Y. L. Fong & Craig W. Holden & Charles A. Trzcinka, 2017. "What Are the Best Liquidity Proxies for Global Research?," Review of Finance, European Finance Association, vol. 21(4), pages 1355-1401.
• Aivaz Kamer Ainur & Jugănaru Mariana & Jugănaru Ion Dănut, 2017. "Analyzing Seasonality and Forecasting the Number of Tourists’ Overnight Stays in Constanta Municipality," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 265-270, June.
• Jugănaru Mariana & Jugănaru Ion Dănut & Aivaz Kamer Ainur, 2017. "Analyzing the Concentration of Overnight Stays in Constanta City, over the Period 2010-2016," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 307-312, June.
• Maria Kovacova & Tomas Kliestik, 2017. "Logit and Probit application for the prediction of bankruptcy in Slovak companies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 12(4), pages 775-791, December.
• Gan-Ochir Doojav & Ariun-Erdene Bayarjargal, 2017. "Stress testing the household sector in Mongolia," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 23-52, December.
  • Doojav, Gan-Ochir & Bayarjargal, Ariun-Erdene, 2017. "Stress testing the household sector in Mongolia," MPRA Paper 111310, University Library of Munich, Germany.
• Пигнастый, Олег, 2017. "Дискретно-Событийная Модель Производственной Линии [Discrete-event model of the production line]," MPRA Paper 113648, University Library of Munich, Germany, revised 2017.
• Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2017. "Prévisions de l’inflation et de la croissance en zone CEMAC [Inflation and real growth forecasts in CEMAC zone]," MPRA Paper 116433, University Library of Munich, Germany.
• Mosiño, Alejandro & Salomón-Núñez, Laura A. & Moreno-Okuno, Alejandro T., 2017. "Estudio empírico sobre el tipo de cambio MXN/USD: Movimiento Browniano Geométrico vs. Proceso Varianza-Gamma [Empirical analysis of the MXN/USD exchange rate: geometric Brownian motion vs. variance," MPRA Paper 78961, University Library of Munich, Germany.
• Li, Zhiyong & Lambe, Brendan & Adegbite, Emmanuel, 2018. "New bid-ask spread estimators from daily high and low prices," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 69-86.
  • Li, Zhiyong & Lambe, Brendan & Adegbite, Emmanuel, 2017. "New Bid-Ask Spread Estimators from Daily High and Low Prices," MPRA Paper 79102, University Library of Munich, Germany.
• Polman, Fabian M. & Krijgsman, Cees & Dajani, Karma & Hemminga, Marcus A., 2017. "Modelling a Dutch Pension Fund’s Capital Requirement for Longevity Risk," MPRA Paper 79438, University Library of Munich, Germany.
• Laura Bisio & Filippo Moauro, 2018. "Temporal disaggregation by dynamic regressions: Recent developments in Italian quarterly national accounts," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 471-494, November.
  • Bisio, Laura & Moauro, Filippo, 2017. "Temporal disaggregation by dynamic regressions: recent developments in Italian quarterly national accounts," MPRA Paper 80211, University Library of Munich, Germany, revised 14 Jul 2017.
• Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
• Caspi, Itamar & Graham, Meital, 2018. "Testing for bubbles in stock markets with irregular dividend distribution," Finance Research Letters, Elsevier, vol. 26(C), pages 89-94.
  • Itamar Caspi & Meital Graham, 2016. "Testing for Bubbles in Stock Markets With Irregular Dividend Distribution," Bank of Israel Working Papers 2016.06, Bank of Israel.
  • Caspi, Itamar & Graham, Meital, 2017. "Testing for Bubbles in Stock Markets with Irregular Dividend Distribution," MPRA Paper 82261, University Library of Munich, Germany, revised 29 Oct 2017.
• Bhattacherjee, Sanjay & Sarkar, Palash, 2017. "Correlation and inequality in weighted majority voting games," MPRA Paper 83168, University Library of Munich, Germany.
• Bhattacherjee, Sanjay & Sarkar, Palash, 2017. "Cryptocurrency Voting Games," MPRA Paper 83592, University Library of Munich, Germany.
• Merce, Emilian & Merce, Cristian Calin & Pocol, Cristina Bianca, 2017. "Autocorrelation - Prevalence of identification of collinearity cause," MPRA Paper 85090, University Library of Munich, Germany.
• Пигнастый, Олег & Ходусов, Валерий, 2017. "Диффузионное Описание Производственного Процесса [Diffusion description of the production process]," MPRA Paper 89250, University Library of Munich, Germany, revised 01 Nov 2017.
• Pihnastyi, Oleh, 2017. "The model of the production process of the party of the subjects of labour," MPRA Paper 89605, University Library of Munich, Germany, revised 23 Mar 2017.
• Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.
  • Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
• Nguyen, Cuong, 2017. "Test LOT Quality Assurance Sampling Method in Estimating Communes with Improved Latrine in Vietnam," MPRA Paper 93137, University Library of Munich, Germany.
• James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
  • James G. MacKinnon & Matthew D. Webb, 2017. "The Wild Bootstrap For Few (treated) Clusters," Working Paper 1364, Economics Department, Queen's University.
• Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2017. "Validity Of Wild Bootstrap Inference With Clustered Errors," Working Paper 1383, Economics Department, Queen's University.
• James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
• James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
• Haroon Mumtaz, 2017. "Does uncertainty affect real activity? Evidence from state-level," Working Papers 844, Queen Mary University of London, School of Economics and Finance.
• Radoslawa Nikolowa & Daniel Ferreira, 2018. "How to Sell Jobs," Working Papers 846, Queen Mary University of London, School of Economics and Finance.
• Paschmann, Martin, 2017. "Leveraging the Benefits of Integrating and Interacting Electric Vehicles and Distributed Energy Resources," EWI Working Papers 2017-11, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
• Xiao, Weilin & Yu, Jun, 2019. "Asymptotic Theory For Estimating Drift Parameters In The Fractional Vasicek Model," Econometric Theory, Cambridge University Press, vol. 35(1), pages 198-231, February.
  • Xiao, Weilin & Yu, Jun, 2017. "Asymptotic Theory for Estimating Drift Parameters in the Fractional Vasicek Model," Economics and Statistics Working Papers 8-2017, Singapore Management University, School of Economics.
• Willem Karel M. BRAUERS & Edmundas Kazimieras ZAVADSKAS & Natalija LEPKOVA, 2017. "The Future of Facilities Management in Lithuania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 98-115, March.
• Osabuohien-Irabor Osarumwense & Julian I. Mbegbu, 2017. "Power and Size analysis of Co-integration tests in Conditional Heteroskedascity: A Monte Carlo Simulation," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 17-34, September.
• Rulof P. Burger & Zoë M. McLaren, 2017. "An econometric method for estimating population parameters from non‐random samples: An application to clinical case finding," Health Economics, John Wiley & Sons, Ltd., vol. 26(9), pages 1110-1122, September.
  • Rulof P. Burger & Zoë M. McLaren, 2017. "An Econometric Method for Estimating Population Parameters from Non-Random Samples: An Application to Clinical Case Finding," Working Papers 692, Economic Research Southern Africa.
• Gloria Gheno, 2017. "A new semiparametric approach for mediation analyses," Proceedings of International Academic Conferences 5007336, International Institute of Social and Economic Sciences.
• Li-Fei Huang, 2017. "Stata programming of confidence regions for the ratio of two percentiles," Proceedings of International Academic Conferences 5808079, International Institute of Social and Economic Sciences.
• Olivares Aguayo, Héctor Alonso & Ortiz Ramírez, Ambrosio & Venegas Martínez, Francisco, 2017. "Valuación de una nota estructurada que vincula el rendimiento de un bono cupón cero con una opción en un portafolio de inversión / Pricing a Structured Note that Links a Zero-Coupon Bond Return with a," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 7(2), pages 201-235, julio-dic.
• Thierno Thioune, 2017. "Financial Instability and Inequality Dynamics in the WAEMU," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 43-62, June.
• Olgun Kitapci & Ömür Tosun & Murat Fatih Tuna & Tarik Turk, 2017. "The Use of Artificial Neural Networks (ANN) in Forecasting Housing Prices in Ankara, Turkey," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(5), pages 4-14.
• Netsanet Haile & Jörn Altmann, 2017. "Evaluating Investments in Portability and Interoperability between Software Service Platforms," TEMEP Discussion Papers 2017136, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised May 2017.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
• Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 281-324, August.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," SciencePo Working papers Main hal-03471817, HAL.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
  • Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
• Natalia A. Sadovnikova & Ekaterina S. Darda & Elena N. Klochkova, 2017. "Assistive Technologies Market: State and Perspectives," Contributions to Economics, in: Elena G. Popkova (ed.), Overcoming Uncertainty of Institutional Environment as a Tool of Global Crisis Management, pages 77-87, Springer.
• Margherita Giuzio, 2017. "Genetic algorithm versus classical methods in sparse index tracking," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 40(1), pages 243-256, November.
• Arman Bidarbakht Nia, 2017. "A generalization to QUAIDS," Empirical Economics, Springer, vol. 52(1), pages 393-410, February.
• Krzysztof Kluza, 2017. "Risk assessment of the local government sector based on the ratio analysis and the DEA method. Evidence from Poland," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 329-351, December.
• Michael B. Giles & Yuan Xia, 2017. "Multilevel Monte Carlo for exponential Lévy models," Finance and Stochastics, Springer, vol. 21(4), pages 995-1026, October.
• Sebastian Voigt & Oliver Hinz, 2017. "Assessing the economic effects of server launches in free-to-play MMO games," Journal of Business Economics, Springer, vol. 87(4), pages 421-464, May.
  • Voigt, Sebastian & Hinz, Oliver, 2016. "Assessing the Economic Effects of Server Launches in Free-to-Play MMO Games," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84846, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Xue-Zhong He & Youwei Li, 2017. "The adaptiveness in stock markets: testing the stylized facts in the DAX 30," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1071-1094, November.
  • Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
• Pier Luigi Conti & Daniela Marella & Andrea Neri, 2017. "Statistical matching and uncertainty analysis in combining household income and expenditure data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 485-505, August.
  • Pier Luigi Conti & Daniela Marella & Andrea Neri, 2015. "Statistical matching and uncertainty analysis in combining household income and expenditure data," Temi di discussione (Economic working papers) 1018, Bank of Italy, Economic Research and International Relations Area.
• Claudio Pinto, 2017. "Perceived quality and formation of inter-regional networks of health care migration," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 7(3), pages 1-5.
• Pietrunti, Mario, 2017. "Financial frictions and the real economy," ESRB Working Paper Series 41, European Systemic Risk Board.
• Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," LEM Papers Series 2017/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po publications 2017-09, Sciences Po.
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  • Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
• Zacharias Psaradakis & Marián Vávra, 2017. "Normality Tests for Dependent Data: Large-Sample and Bootstrap Approaches," Birkbeck Working Papers in Economics and Finance 1706, Birkbeck, Department of Economics, Mathematics & Statistics.
  • Zacharias Psaradakis & Marian Vavra, 2017. "Normality Tests for Dependent Data," Working and Discussion Papers WP 12/2017, Research Department, National Bank of Slovakia.
• Yoosoon Chang & Robin C. Sickles & Wonho Song, 2017. "Bootstrapping unit root tests with covariates," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 136-155, March.
  • Chang, Yoosoon & Sickles, Robin & Song, Wonho, 2001. "Bootstrapping Unit Root Tests with Covariates," Working Papers 2001-07, Rice University, Department of Economics.
  • Chang, Yoosoon & Sickles, Robin C. & Song, Wonho, 2014. "Bootstrapping Unit Root Tests with Covariates," Working Papers 15-009, Rice University, Department of Economics.
• Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov switching in autoregressive models," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 713-727, October.
  • Jean-Marie Dufour & Richard Luger, 2016. "Identification-robust moment-based tests for Markov-switching in autoregressive models," CIRANO Working Papers 2016s-63, CIRANO.
  • Jean-Marie DUFOUR & Richard LUGER, 2016. "Identification-Robust Moment-Based Tests for Markov-Switching in Autoregressive Models," Cahiers de recherche 15-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov-switching in autoregressive models," Cahiers de recherche 1701, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
• Joshua C. C. Chan, 2017. "The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
  • Joshua C.C. Chan, 2015. "The Stochastic Volatility in Mean Model with Time-Varying Parameters: An Application to Inflation Modeling," CAMA Working Papers 2015-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
  • Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Luc BAUWENS & Jean-François CARPENTIER & Arnaud DUFAYS, 2017. "Autoregressive moving average infinite hidden Markov-switching models," LIDAM Reprints CORE 2836, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print hal-01795051, HAL.
• Panagiotis Mantalos, 2017. "Robust critical values for unit root tests for series with conditional heteroscedasticity errors: An application of the simple NoVaS transformation," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1274282-127, January.
  • Mantalos, Panagiotis, 2012. "Robust critical values for unit root tests for series with conditional heteroscedasticity errors: An application of the simple NoVaS transformation," Working Papers 2012:2, Örebro University, School of Business.
• Alexis Habiyaremye, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 296-311, July.
  • Habiyaremye, Alexis, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," MERIT Working Papers 2017-024, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
• Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
  • Brantly Callaway & Tong Li, 2017. "Quantile Treatment Effects in Difference in Differences Models with Panel Data," DETU Working Papers 1701, Department of Economics, Temple University.
• Niu, Cuizhen & Guo, Xu & McAleer, Michael & Wong, Wing-Keung, 2018. "Theory and application of an economic performance measure of risk," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 383-396.
  • Cuizhen Niu & Xu Guo & Wing-Keung Wong & Michael McAleer, 2017. "Theory and Application of an Economic Performance Measure of Risk," Documentos de Trabajo del ICAE 2017-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Cuizhen Niu & Xu Guo & Michael McAleer & Wing-Keung Wong, 2017. "Theory and Application of an Economic Performance Measure of Risk," Tinbergen Institute Discussion Papers 17-055/III, Tinbergen Institute.
  • Niu, C. & Guo, X. & McAleer, M.J. & Wong, W.-K., 2017. "Theory and Application of an Economic Performance Measure of Risk," Econometric Institute Research Papers EI2017-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Kleijnen, J.P.C., 2017. "Kriging : Methods and Applications," Other publications TiSEM 0e31d8b9-596f-4bbc-a248-0, Tilburg University, School of Economics and Management.
  • Kleijnen, J.P.C., 2017. "Kriging : Methods and Applications," Discussion Paper 2017-047, Tilburg University, Center for Economic Research.
• Kleijnen, J.P.C. & Shi, Wen, 2017. "Sequential Probability Ration Tests : Conservative and Robust," Other publications TiSEM 5f24e30d-7931-4be4-96f0-6, Tilburg University, School of Economics and Management.
  • Kleijnen, J.P.C. & Shi, Wen, 2017. "Sequential Probability Ration Tests : Conservative and Robust," Discussion Paper 2017-001, Tilburg University, Center for Economic Research.
• Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Other publications TiSEM 763fd6f8-b618-4b06-a284-5, Tilburg University, School of Economics and Management.
  • Shi, Wen & Kleijnen, J.P.C., 2017. "Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034)," Discussion Paper 2017-006, Tilburg University, Center for Economic Research.
• Kleijnen, J.P.C., 2017. "Design and Analysis of simulation experiments : Tutorial," Other publications TiSEM c7ad6b68-dcd6-4485-9ee2-0, Tilburg University, School of Economics and Management.
  • Kleijnen, J.P.C., 2017. "Design and Analysis of simulation experiments : Tutorial," Discussion Paper 2017-018, Tilburg University, Center for Economic Research.
• Kleijnen, J.P.C., 2017. "Simulation Optimization through Regression or Kriging Metamodels," Other publications TiSEM c7f60f02-9dc5-41fc-897f-2, Tilburg University, School of Economics and Management.
  • Kleijnen, J.P.C., 2017. "Simulation Optimization through Regression or Kriging Metamodels," Discussion Paper 2017-026, Tilburg University, Center for Economic Research.
• Ismael Mourifié & Yuanyuan Wan, 2017. "Testing Local Average Treatment Effect Assumptions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
  • Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
• Hounyo, Ulrich & Gonçalves, Sílvia & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility Under Market Microstructure Noise," Econometric Theory, Cambridge University Press, vol. 33(4), pages 791-838, August.
  • Ulrich Hounyo & Sílvia Goncalves & Nour Meddahi, 2013. "Bootstrapping pre-averaged realized volatility under market microstructure noise," CREATES Research Papers 2013-28, Department of Economics and Business Economics, Aarhus University.
  • Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," TSE Working Papers 17-809, Toulouse School of Economics (TSE).
  • Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017. "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," IDEI Working Papers 869, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Ulrich Hounyo & Silvia Gonçalves & Nour Meddahi, 2016. "Bootstrapping pre-averaged realized volatility under market microstructure noise," CIRANO Working Papers 2016s-25, CIRANO.
• Niu, Cuizhen & Guo, Xu & McAleer, Michael & Wong, Wing-Keung, 2018. "Theory and application of an economic performance measure of risk," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 383-396.
  • Niu, C. & Guo, X. & McAleer, M.J. & Wong, W.-K., 2017. "Theory and Application of an Economic Performance Measure of Risk," Econometric Institute Research Papers EI2017-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Cuizhen Niu & Xu Guo & Wing-Keung Wong & Michael McAleer, 2017. "Theory and Application of an Economic Performance Measure of Risk," Documentos de Trabajo del ICAE 2017-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Cuizhen Niu & Xu Guo & Michael McAleer & Wing-Keung Wong, 2017. "Theory and Application of an Economic Performance Measure of Risk," Tinbergen Institute Discussion Papers 17-055/III, Tinbergen Institute.
• Jérôme Adda & Christian Dustmann & Katrien Stevens, 2017. "The Career Costs of Children," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 293-337.
  • Adda, Jérôme & Dustmann, Christian & Stevens, Katrien, 2011. "The Career Costs of Children," IZA Discussion Papers 6201, Institute of Labor Economics (IZA).
  • Dustmann, Christian & Stevens, Katrien & Adda, Jérôme, 2016. "The Career Costs of Children," CEPR Discussion Papers 11586, C.E.P.R. Discussion Papers.
  • Jerome Adda & Christian Dustmann & Katrien Stevens, 2012. "The Career Costs of Children," Economics Working Papers ECO2012/, European University Institute.
  • Adda, Jérôme & Dustmann, Christian & Stevens, Katrien, 2011. "The Career Costs of Children," Working Papers 2011-13, University of Sydney, School of Economics.
  • Jérôme Adda & Christian Dustmann & Katrien Stevens, 2016. "The Career Costs of Children," CESifo Working Paper Series 6158, CESifo.
  • Dustmann, Christian & Adda, Jérôme & Stevens, Katrien, 2011. "The Career Costs of Children," CEPR Discussion Papers 8697, C.E.P.R. Discussion Papers.
• Lenard Lieb & Stephan Smeekes, 2017. "Inference for Impulse Responses under Model Uncertainty," Papers 1709.09583, arXiv.org, revised Oct 2019.
  • Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
• Alexis Habiyaremye, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 296-311, July.
  • Habiyaremye, Alexis, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," MERIT Working Papers 2017-024, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
• Gan-Ochir Doojav & Ariun-Erdene Bayarjargal, 2017. "Stress testing the household sector in Mongolia," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 23-52, December.
  • Doojav, Gan-Ochir & Bayarjargal, Ariun-Erdene, 2017. "Stress testing the household sector in Mongolia," MPRA Paper 111310, University Library of Munich, Germany.
• Alessandro Chiarucci & Rosa Maria Di Biase & Lorenzo Fattorini & Marzia Marcheselli & Caterina Pisani, 2017. "Joining the Incompatible: Exploiting Floristic Lists for the Sample-based Estimation of Species Richness," Department of Economics University of Siena 753, Department of Economics, University of Siena.
• Ryan T. Godwin & David E. Giles, 2017. "Analytic Bias Correction for Maximum Likelihood Estimators When the Bias Function is Non-Constant," Econometrics Working Papers 1702, Department of Economics, University of Victoria.
• Tong Mu & He Yi, 2017. "Topology of Complex Networks and Demand of Intraday Liquidity: Based on the Real-Time Gross Settlement System," Central European Economic Journal, Sciendo, vol. 2(49), pages 50-61, December.
• Nazila Alinaghi & W. Robert Reed, 2016. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 16/26, University of Canterbury, Department of Economics and Finance.
  • Alinaghi, Nazila & Reed, W. Robert, 2017. "Meta-Analysis and Publication Bias: How Well Does the Fat-Pet-Peese Procedure Work?," Working Paper Series 20285, Victoria University of Wellington, Chair in Public Finance.
  • Nazila Alinaghi & W. Robert Reed, 2017. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 17/04, University of Canterbury, Department of Economics and Finance.
• Nazila Alinaghi & W. Robert Reed, 2016. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 16/26, University of Canterbury, Department of Economics and Finance.
  • Alinaghi, Nazila & Reed, W. Robert, 2017. "Meta-Analysis and Publication Bias: How Well Does the Fat-Pet-Peese Procedure Work?," Working Paper Series 6709, Victoria University of Wellington, Chair in Public Finance.
  • Nazila Alinaghi & W. Robert Reed, 2017. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 17/04, University of Canterbury, Department of Economics and Finance.
• Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
  • Mikołaj Czajkowski & Wiktor Budziński, 2017. "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers 2017-18, Faculty of Economic Sciences, University of Warsaw.
• M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1706, Koc University-TUSIAD Economic Research Forum.
  • Kose,Ayhan & Lakatos,Csilla & Ohnsorge,Franziska Lieselotte & Stocker,Marc, 2017. "The global role of the U.S. economy: linkages, policies and spillovers," Policy Research Working Paper Series 7962, The World Bank.
  • M. Ayhan Kose & Csilla Lakatos & Franziska Ohnsorge & Marc Stocker, 2017. "The global role of the US economy: Linkages, policies and spillovers," CAMA Working Papers 2017-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Kose, M. Ayhan & Ohnsorge, Franziska & Lakatos, Csilla & Stocker, Marc, 2017. "The Global Role of the U.S. Economy: Linkages, Policies and Spillovers," CEPR Discussion Papers 11836, C.E.P.R. Discussion Papers.
• Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
  • Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
  • Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
  • Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
• Stefan Jestl & Roman Römisch, 2017. "Online Annex – Economic Challenges of Lagging Regions: Annex II – Econometric Analysis and Supplemental Tables," wiiw Research Reports 426, The Vienna Institute for International Economic Studies, wiiw.
• Rulof P. Burger & Zoë M. McLaren, 2017. "An econometric method for estimating population parameters from non‐random samples: An application to clinical case finding," Health Economics, John Wiley & Sons, Ltd., vol. 26(9), pages 1110-1122, September.
  • Zoë M. McLaren, 2017. "An Econometric Method for Estimating Population Parameters from Non-Random Samples: An Application to Clinical Case Finding," Working Papers 692, Economic Research Southern Africa.
• James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
  • James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference For Wildly Different Cluster Sizes," Working Paper 1314, Economics Department, Queen's University.
• Roman Liesenfeld & Jean‐François Richard & Jan Vogler, 2017. "Likelihood‐Based Inference and Prediction in Spatio‐Temporal Panel Count Models for Urban Crimes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 600-620, April.
  • Vogler, Jan & Liesenfeld, Roman & Richard, Jean-Francois, 2015. "Likelihood based inference and prediction in spatio-temporal panel count models for urban crimes," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113131, Verein für Socialpolitik / German Economic Association.
• István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2017. "Joint Bayesian Analysis of Parameters and States in Nonlinear non‐Gaussian State Space Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1003-1026, August.
  • István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2014. "Joint Bayesian Analysis of Parameters and States in Nonlinear, Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 14-118/III, Tinbergen Institute, revised 31 Mar 2016.
• Soo-Bin Jeong & Bong-Hwan Kim & Tae-Hwan Kim & Hyung-Ho Moon, 2017. "Unit Root Tests In The Presence Of Multiple Breaks In Variance," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 345-361, June.
  • Soo-Bin Jeong & Bong-Hwan Kim & Tae-Hwan Kim & Hyung-Ho Moon, 2014. "Unit Root Tests In The Presence Of Multiple Breaks In Variance," Working papers 2014rwp-70, Yonsei University, Yonsei Economics Research Institute.
• M. Hashem Pesaran & Takashi Yamagata, 2017. "Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities," CESifo Working Paper Series 6432, CESifo.
  • M. Hashem Pesaran & Takashi Yamagata, 2017. "Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities," Discussion Papers 17/04, Department of Economics, University of York.
• Tente, Natalia & von Westernhagen, Natalja & Slopek, Ulf, 2017. "M-PRESS-CreditRisk: A holistic micro- and macroprudential approach to capital requirements," Discussion Papers 15/2017, Deutsche Bundesbank.
• Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
• Degiuli, Nastia & Runje, Biserka & Farkas, Andrea, 2017. "Statistical Analysis of Wind Speed for the Probability Evaluation of Cancelled Departure for Catamarans and Ferries," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2017), Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Dubrovnik, Croatia, 7-9 September 2017, pages 340-350, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
• Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.

2016

• Konstantin GLUSCHENKO, 2016. "The Path-Dependence Bias in Approximating Local Price Levels by CPIs," Journal of Economics Library, KSP Journals, vol. 3(1), pages 69-76, March.
  • Gluschenko, Konstantin, 2016. "The Path-Dependence Bias in Approximating Local Price Levels by CPIs," MPRA Paper 68936, University Library of Munich, Germany.
• NJAMEN KENGDO, Arsène Aurélien, 2016. "Gestion des données manquantes dans les bases de données : la méthode d’imputation multiple sous XLSTAT [Management of missing data in databases: the multiple imputation method in XLSTAT]," MPRA Paper 70835, University Library of Munich, Germany, revised 19 Apr 2016.
• Fantazzini, Dean, 2016. "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, vol. 96(C), pages 383-396.
  • Fantazzini, Dean, 2016. "The Oil Price Crash in 2014/15: Was There a (Negative) Financial Bubble?," MPRA Paper 72094, University Library of Munich, Germany.
• Madanlo, Lalaine & Murcia, John Vianne & Tamayo, Adrian, 2016. "Simultaneity of Crime Incidence in Mindanao," MPRA Paper 72648, University Library of Munich, Germany, revised 20 Jul 2016.
• Iacob, Constanta & Bosoteanu, Maria Cristina, 2016. "How compliant is the Romanian accounting with the Europan directives and international accounting standards?," MPRA Paper 73456, University Library of Munich, Germany.
• Gencer, Murat & Unal, Gazanfer, 2016. "Testing Non-Linear Dynamics, Long Memory and Chaotic Behaviour of Energy Commodities," MPRA Paper 74115, University Library of Munich, Germany.
• Ephraim Clark & Zhuo Qiao & Wing-Keung Wong, 2016. "Theories Of Risk: Testing Investor Behavior On The Taiwan Stock And Stock Index Futures Markets," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 907-924, April.
  • Clark, Ephraim & Qiao, Zhuo & Wong, Wing-Keung, 2016. "Theories of Risk: Testing Investor Behaviour on the Taiwan Stock and Stock Index Futures Markets," MPRA Paper 74344, University Library of Munich, Germany.
  • Clark, Ephraim & Qiao, Zhuo & Wong, Wing-Keung, 2017. "Theories of Risk: Testing Investor Behaviour on the Taiwan Stock and Stock Index Futures Markets," MPRA Paper 82888, University Library of Munich, Germany.
• Lam, Kin & Lean, Hooi Hooi & Wong, Wing-Keung, 2016. "Stochastic Dominance and Investors’ Behavior towards Risk: The Hong Kong Stocks and Futures Markets," MPRA Paper 74386, University Library of Munich, Germany.
• Sunanta, Owat & Viertl, Reinhard, 2016. "Fuzzy models in regional statistics," MPRA Paper 74501, University Library of Munich, Germany.
• Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
  • Degiannakis, Stavros & Potamia, Artemis, 2016. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: inter-day versus intra-day data," MPRA Paper 74670, University Library of Munich, Germany.
• Apicella, Giovanna & Dacorogna, Michel M, 2016. "A General framework for modelling mortality to better estimate its relationship with interest rate risks," MPRA Paper 75788, University Library of Munich, Germany.
• DO ANGO, Simplicio & AMBA OYON, Claude Marius, 2016. "A PANIC Attack on Inflation and Unemployment in Africa: Analysis of Persistence and Convergence," MPRA Paper 79685, University Library of Munich, Germany.
• Vorobyev, Oleg Yu., 2016. "Postulating the theory of experience and chance as a theory of co~events (co~beings)," MPRA Paper 81892, University Library of Munich, Germany.
• Vorobyev, Oleg Yu., 2016. "The theory of dual co~event means," MPRA Paper 81893, University Library of Munich, Germany.
• Pihnastyi, Oleh & Bondarenko, Kristina, 2016. "About the problem of selecting models for production line," MPRA Paper 91235, University Library of Munich, Germany, revised 07 Jan 2018.
• Pihnastyi, Oleh & Korsun, Roman, 2016. "The construction a kinetic equation of the production process," MPRA Paper 92073, University Library of Munich, Germany, revised 19 Mar 2016.
• Пигнастый, Олег, 2016. "Анализ Принципов И Методов Построения Систем Управления Производственным Процессом [Analysis Of The Principles And Methods Of Construction Control Systems Of Technological Process]," MPRA Paper 92908, University Library of Munich, Germany, revised 10 Jan 2016.
• Hana Džmuráňová & Petr Teplý, 2016. "Why Are Savings Accounts Perceived as Risky Bank Products?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 617-633.
• MacKinnon, James G., 2016. "Inference with Large Clustered Datasets," L'Actualité Economique, Société Canadienne de Science Economique, vol. 92(4), pages 649-665, Décembre.
  • James G. MacKinnon, 2016. "Inference With Large Clustered Datasets," Working Paper 1365, Economics Department, Queen's University.
• Manh D. Pham & Valentin Zelenyuk, 2018. "Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking," Empirical Economics, Springer, vol. 54(1), pages 153-187, February.
  • Manh D. Pham & Valentin Zelenyuk, 2016. "Slack-based directional distance function in the presence of bad outputs: Theory and Application to Vietnamese Banking," CEPA Working Papers Series WP072016, School of Economics, University of Queensland, Australia.
• Haroon Mumtaz & Laura Sunder‐Plassmann & Angeliki Theophilopoulou, 2018. "The State‐Level Impact of Uncertainty Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1879-1899, December.
  • Haroon Mumtaz & Laura Sunder-Plassmann & Angeliki Theophilopoulou, 2016. "The State Level Impact of Uncertainty Shocks," Working Papers 793, Queen Mary University of London, School of Economics and Finance.
• Haroon Mumtaz & Konstantinos Theodoridis, 2016. "Volatility Co-movement and the Great Moderation. An Empirical Analysis," Working Papers 804, Queen Mary University of London, School of Economics and Finance.
• Haroon Mumtaz & Laura Sunder‐Plassmann & Angeliki Theophilopoulou, 2018. "The State‐Level Impact of Uncertainty Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1879-1899, December.
  • Haroon Mumtaz & Laura Sunder-Plassmann & Angeliki Theophilopoulou, 2016. "The State Level Impact of Uncertainty Shocks," Working Papers 793, Queen Mary University of London, School of Economics and Finance.
  • Haroon Mumtaz & Laura Sunder-Plassmann & Angeliki Theophilopoulou, 2016. "The State Level Impact of Uncertainty Shocks," Working Papers 793, Queen Mary University of London, School of Economics and Finance.
• Haroon Mumtaz & Konstantinos Theodoridis, 2016. "Volatility Co-movement and the Great Moderation. An Empirical Analysis," Working Papers 804, Queen Mary University of London, School of Economics and Finance.
  • Haroon Mumtaz & Konstantinos Theodoridis, 2016. "Volatility Co-movement and the Great Moderation. An Empirical Analysis," Working Papers 804, Queen Mary University of London, School of Economics and Finance.
• David Magaña Lemus, 2016. "Assessment of Price Risk on Agricultural Inventory Credit under Sparse Data Conditions," Economia y Sociedad., Universidad Michoacana de San Nicolas de Hidalgo, Facultad de Economia, issue 34, pages 106-118, Enero-Jun.
• Shu-Ping Shi & Stan Hurn & Peter C. B. Phillips, 2016. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money-Income Relationship," Cowles Foundation Discussion Papers 2059, Cowles Foundation for Research in Economics, Yale University.
  • Shuping Shi & Stan Hurn & Peter C B Phillips, 2016. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money-Income Relationship," NCER Working Paper Series 113, National Centre for Econometric Research.
• Piet, Laurent & Saint-Cyr, Legrand D.F., 2016. "Projection de la population des exploitations agricoles françaises à l’horizon 2025," Working Papers 250208, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
  • Laurent, Piet & Legrand D.F. Saint-Cyr, 2016. "Projection de la population des exploitations agricoles françaises à l’horizon 2025," Working Papers SMART 16-11, INRAE UMR SMART.
• Castillo, Paul & Montoya, Jimena & Quineche, Ricardo, 2016. "From the “Great Inflation” to the “Great Moderation” in Peru: A Time Varying Structural Vector Autoregressions Analysis," Working Papers 2016-003, Banco Central de Reserva del Perú.
• Winfried G. Hallerback & Igor Pouchkarev, 2016. "Active Portfolio Management with Conditional Tracking Error," Bankers, Markets & Investors, ESKA Publishing, issue 143, pages 18-25, July-Augu.
• Daniele Di Gennaro & Guido Pellegrini, 2016. "Policy Evaluation In Presence Of Interferences: A Spatial Multilevel Did Approach," Working Papers 0416, CREI Università degli Studi Roma Tre, revised 2016.
• Edward S. Knotek, 2010. "The roles of price points and menu costs in price rigidity," Research Working Paper RWP 10-18, Federal Reserve Bank of Kansas City.
  • Edward Knotek II, 2016. "The Roles of Price Points and Menu Costs in Price Rigidity," 2016 Meeting Papers 1563, Society for Economic Dynamics.
  • Edward S. Knotek, 2019. "The Roles of Price Points and Menu Costs in Price Rigidity," Working Papers 19-23, Federal Reserve Bank of Cleveland.
• MacKinnon, James G., 2016. "Inference with Large Clustered Datasets," L'Actualité Economique, Société Canadienne de Science Economique, vol. 92(4), pages 649-665, Décembre.
  • James G. MacKinnon, 2016. "Inference With Large Clustered Datasets," Working Paper 1365, Economics Department, Queen's University.
• Knyazev, Alexander & Lepekhin, Oleg & Shemyakin, Arkady, 2016. "Joint distribution of stock indices: Methodological aspects of construction and selection of copula models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 30-53.
• Udvari, Beáta & Dávid Kiss, Gábor & Pontet, Julianna, 2016. "Challenges of Missing Data in Analyses of Aid Activity: The Case of US Aid Activity," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 39(1-2), pages 1-25, March-Jun.
• Frieling, Julius & Madlener, Reinhard, 2016. "Estimation of Substitution Elasticities in Three-Factor Production Functions: Identifying the Role of Energy," FCN Working Papers 1/2016, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Sep 2016.
• Hakimipoor, Nader & Akbarian, Hojjat, 2016. "Identifying Key Sectors in Iranian Economy using Eigenvector Method Based on Input-Output Table for year 2011," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 3(1), pages 139-160, June.
• Paetzold, Jörg & Tiefenbacher, Markus, 2016. "Shifting the tax burden from labor to property: The case of Germany," Working Papers in Economics 2016-3, University of Salzburg.
• Xiao, Weilin & Yu, Jun, 2016. "Asymptotic Theory for Estimating the Persistent Parameter in the Fractional Vasicek Model," Economics and Statistics Working Papers 13-2016, Singapore Management University, School of Economics.
• Aleksandras KRYLOVAS & Natalja KOSAREVA & Edmundas Kazimieras ZAVADSKAS, 2016. "Statistical Analysis of KEMIRA Type Weights Balancing Methods," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 19-39, September.
• Mihaela Simionescu, 2016. "The Real GDP Rate in European Union. A Panel Data Approach," Working Papers of Institute for Economic Forecasting 161001, Institute for Economic Forecasting.
• Bianca Pauna, 2016. "Testarea proprietatilor predictive ale modelelor macroeconomice prin utilizarea simulărilor stohastice. Influenta numarului de observatii asupra restrangerii intervalului de prognoza," Working Papers of Macroeconomic Modelling Seminar 162701, Institute for Economic Forecasting.
• Gheorghe Savoiu & Emilia Gogu & Alexandru Ionescu, 2016. "Model Estimates Of Gross Domestic Product In Relation to Export And Import Of Fuels, Focused on the Elasticity and Determination Of Directly and Indirectly Associated Rates," Romanian Statistical Review, Romanian Statistical Review, vol. 64(1), pages 21-40, March.
• Paola Stolfi & Mauro Bernardi & Lea Petrella, 2016. "Multivariate Method Of Simulated Quantiles," Departmental Working Papers of Economics - University 'Roma Tre' 0212, Department of Economics - University Roma Tre.
• Murat Midilic, 2016. "Estimation Of Star-Garch Models With Iteratively Weighted Least Squares," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/918, Ghent University, Faculty of Economics and Business Administration.
• Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
• Pawe³ Sakowski & Robert Œlepaczuk & Mateusz Wywia³, 2016. "Cross-Sectional Returns With Volatility Regimes From A Diverse Portfolio Of Emerging And Developed Equity Indices," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 12(2), pages 23-35, October.
  • Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2015. "Cross-Sectional Returns With Volatility Regimes From Diverse Portfolio of Emerging and Developed Equity Indices," Working Papers 2015-39, Faculty of Economic Sciences, University of Warsaw.
• Muneer Shaik & S. Maheswaran, 2016. "Modelling the Paradox in Stock Markets by Variance Ratio Volatility Estimator that Utilises Extreme Values of Asset Prices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 15(3), pages 333-361, December.
• Mehmet Fatih Tra? & Esra Ball? & Çiler Sigeze, 2016. "Testing for Purchasing Power Parity for Selected CIS Countries Using the Sieve Bootstrap," Proceedings of International Academic Conferences 3506095, International Institute of Social and Economic Sciences.
• Snezhana Gocheva-Ilieva & Iliycho Iliev, 2016. "Using Generalized PathSeeker Regularized Regression for Modeling and Prediction of Output Power of CuBr Laser," Proceedings of International Academic Conferences 4006523, International Institute of Social and Economic Sciences.
• Bucio, Christian & De Jesús, Raul & Cabello, Alejandra, 2016. "Valor en riesgo anual de los mercados accionarios de México y Estados Unidos: VaR tradicional vs VaR cópulas elípticas," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 6(1), pages 83-114, enero-jun.
• Dobromił Serwa, 2016. "Using Nonperforming Loan Ratios to Compute Loan Default Rates With Evidence From European Banking Sectors," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 1(1), pages 47-65, June.
• Tomasz Krawczyk, 2016. "The Application of the Monte Carlo Method in the Management of Value at Risk of an Investment Portfolio (Zastosowanie metody Monte Carlo w zarzadzaniu Value at Risk portfela inwestycyjnego)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(63), pages 25-38.
• Yu-Chin Hsu, 2016. "Multiplier Bootstrap for Empirical Processes," IEAS Working Paper : academic research 16-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
• Somayeh Koohborfardhaghighi & Jorn Altmann, 2016. "How Network Visibility and Strategic Networking Leads to the Emergence of Certain Network Characteristics: A Complex Adaptive System Approach," TEMEP Discussion Papers 2016130, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2016.
• Somayeh Koohborfardhaghighi & Jorn Altmann, 2016. "How Strategic Networking Impacts the Networking Outcome: A Complex Adaptive System Approach," TEMEP Discussion Papers 2016131, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2016.
• Barde, Sylvain, 2016. "Direct comparison of agent-based models of herding in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 329-353.
  • Sylvain Barde & Ofce Observatoire Français Des Conjonctures Économiques, 2016. "Direct comparison of agent-based models of herding in financial markets," SciencePo Working papers Main hal-03604749, HAL.
  • Sylvain Barde & OFCE Observatoire français des conjonctures économiques, 2016. "Direct comparison of agent -based models of herding in financial markets," Sciences Po publications info:hdl:2441/7kr9gv74ut9, Sciences Po.
  • Sylvain Barde & Ofce Observatoire Français Des Conjonctures Économiques, 2016. "Direct comparison of agent-based models of herding in financial markets," Post-Print hal-03604749, HAL.
• François Bavaud, 2016. "Testing Spatial Autocorrelation in Weighted Networks: The Modes Permutation Test," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 67-83, Springer.
• Chun-Xia Zhang & Jiang-She Zhang & Sang-Woon Kim, 2016. "PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection," Computational Statistics, Springer, vol. 31(4), pages 1237-1262, December.
• Tetsuya Takaishi, 2016. "Dynamical cross-correlation of multiple time series Ising model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 455-468, December.
• Xiaodong Du & Fengxia Dong, 2016. "Responses to market information and the impact on price volatility and trading volume: the case of Class III milk futures," Empirical Economics, Springer, vol. 50(2), pages 661-678, March.
• Michal Brzezinski, 2016. "Robust estimation of the Pareto tail index: a Monte Carlo analysis," Empirical Economics, Springer, vol. 51(1), pages 1-30, August.
• Jan Ditzen & Erich Gundlach, 2016. "A Monte Carlo study of the BE estimator for growth regressions," Empirical Economics, Springer, vol. 51(1), pages 31-55, August.
• Galip Altinay & A. Talha Yalta, 2016. "Estimating the evolution of elasticities of natural gas demand: the case of Istanbul, Turkey," Empirical Economics, Springer, vol. 51(1), pages 201-220, August.
• Yue-Hua Dai & Wen-Jie Xie & Zhi-Qiang Jiang & George J. Jiang & Wei-Xing Zhou, 2016. "Correlation structure and principal components in the global crude oil market," Empirical Economics, Springer, vol. 51(4), pages 1501-1519, December.
  • Yue-Hua Dai & Wen-Jie Xie & Zhi-Qiang Jiang & George J. Jiang & Wei-Xing Zhou, 2014. "Correlation structure and principal components in global crude oil market," Papers 1405.5000, arXiv.org.
• Santosh K. Sahu & Sukanya Das, 2016. "Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India," India Studies in Business and Economics, in: N.S. Siddharthan & K. Narayanan (ed.), Technology, pages 141-156, Springer.
  • Santosh K. Sahu & Sukanya Das, 2015. "Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India," Working Papers 2015-131, Madras School of Economics,Chennai,India.
• Benedikt Franke & Dirk Simons & Dennis Voeller, 2016. "Who benefits from the preferential treatment of business property under the German inheritance tax?," Journal of Business Economics, Springer, vol. 86(9), pages 997-1041, December.
• Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 25-48, September.
• Thomas Brenner & Johann Peter Murmann, 2016. "Using simulation experiments to test historical explanations: the development of the German dye industry 1857-1913," Journal of Evolutionary Economics, Springer, vol. 26(4), pages 907-932, October.
• B. Balaji & S. Raja Sethu Durai & M. Ramachandran, 2016. "The Dynamics Between Inflation and Inflation Uncertainty: Evidence from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 1-14, June.
• Levi John Wolf & Sergio Rey, 2016. "On the lumpability of regional income convergence," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 265-275, October.
• Jaya Krishnakumar & Florian Chávez-Juárez, 2016. "Estimating Capabilities with Structural Equation Models: How Well are We Doing in a ‘Real’ World?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 717-737, November.
• Jan Limbers & Thieß Petersen & Michael Böhmer, 2016. "Lohnimpulse und Wirtschaftswachstum — eine Simulationsanalyse für die Eurozone [Wage Stimuli and Economic Growth — A Simulation Analysis for the Eurozone]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 96(2), pages 122-127, February.
• Jan Limbers & Thieß Petersen & Michael Böhmer, 2016. "Lohnimpulse und Wirtschaftswachstum — eine Simulationsanalyse für die Eurozone," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 96(2), pages 122-127, February.
• G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
  • Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2016. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," LEM Papers Series 2016/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Hartigan, Luke, 2018. "Alternative HAC covariance matrix estimators with improved finite sample properties," Computational Statistics & Data Analysis, Elsevier, vol. 119(C), pages 55-73.
  • Luke Hartigan, 2016. "Alternative HAC Covariance Matrix Estimators with Improved Finite Sample Properties," Discussion Papers 2016-06, School of Economics, The University of New South Wales.
• Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.
• Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019. "Speeding Up MCMC by Efficient Data Subsampling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 831-843, April.
  • Quiroz, Matias & Villani, Mattias & Kohn, Robert, 2015. "Speeding Up Mcmc By Efficient Data Subsampling," Working Paper Series 297, Sveriges Riksbank (Central Bank of Sweden).
  • Kohn, Robert & Quiroz, Matias & Tran, Minh-Ngoc & Villani, Mattias, 2016. "Speeding up MCMC by Efficient Data Subsampling," Working Papers 2123/16205, University of Sydney Business School, Discipline of Business Analytics.
• Thorsten Lehnert & Yuehao Lin, 2016. "Skewness Term-Structure Tests," Applied Mathematical Finance, Taylor & Francis Journals, vol. 23(6), pages 484-504, November.
  • Thorsten Lehnert & Yuehao Lin, 2014. "Skewness Term Structure Tests," LSF Research Working Paper Series 14-08, Luxembourg School of Finance, University of Luxembourg.
• Roberto Roson & Martina Sartori, 2016. "Input--output linkages and the propagation of domestic productivity shocks: assessing alternative theories with stochastic simulation," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 38-54, March.
  • Roson, Roberto & Sartori, Martina, 2014. "Input-output linkages and the propagation of domestic productivity shocks: Assessing alternative theories with stochastic simulation," MPRA Paper 59884, University Library of Munich, Germany.
• Sofia Anyfantaki & Antonis Demos, 2016. "Estimation and Properties of a Time-Varying EGARCH(1,1) in Mean Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(2), pages 293-310, February.
  • Sofia Anyfantaki & Antonis Demos, 2012. "Estimation and Properties of a Time-Varying EGARCH(1,1) in Mean Model," DEOS Working Papers 1228, Athens University of Economics and Business.
• Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
  • T. De Groote & G. Everaert, 2011. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/723, Ghent University, Faculty of Economics and Business Administration.
• Jan Willem Van den End, 2016. "A macroprudential approach to address liquidity risk with the loan-to-deposit ratio," The European Journal of Finance, Taylor & Francis Journals, vol. 22(3), pages 237-253, February.
• Stavros Degiannakis & Alexandra Livada, 2016. "Evaluation of realized volatility predictions from models with leptokurtically and asymmetrically distributed forecast errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(5), pages 871-892, April.
  • Degiannakis, Stavros & Livada, Alexandra, 2013. "Evaluation of Realized Volatility Predictions from Models with Leptokurtically and Asymmetrically Distributed Forecast Errors," MPRA Paper 67968, University Library of Munich, Germany.
• Sermin Gungor & Richard Luger, 2016. "Multivariate Tests of Mean-Variance Efficiency and Spanning With a Large Number of Assets and Time-Varying Covariances," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 161-175, April.
  • Sermin Gungor & Richard Luger, 2013. "Multivariate Tests of Mean-Variance Efficiency and Spanning with a Large Number of Assets and Time-Varying Covariances," Staff Working Papers 13-16, Bank of Canada.
• Makram El-Shagi & Gregor von Schweinitz, 2016. "Qual VAR revisited: Good forecast, bad story," Journal of Applied Economics, Universidad del CEMA, vol. 19, pages 293-322, November.
  • Makram El-Shagi & Gregor Von Schweinitz, 2016. "Qual Var Revisited: Good Forecast, Bad Story," Journal of Applied Economics, Taylor & Francis Journals, vol. 19(2), pages 293-321, November.
  • El-Shagi, Makram & von Schweinitz, Gregor, 2012. "Qual VAR Revisited: Good Forecast, Bad Story," IWH Discussion Papers 12/2012, Halle Institute for Economic Research (IWH).
• S.J Retief & M. Pretorius & I. Botha, 2016. "Comparing Linear and Non-Linear Benchmarks of Exchange Rate Forecasting," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 40(1), pages 119-138, April.
• Andrew J. Buck & George M. Lady, 2016. "Estimating a Falsified Model," DETU Working Papers 1601, Department of Economics, Temple University.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Dynamic predictive density combinations for large data sets in economics and finance," Working Paper 2015/12, Norges Bank.
  • Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2016. "Dynamic Predictive Density Combinations for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 15-084/III, Tinbergen Institute, revised 03 Jul 2017.
• Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016. "Time-varying Combinations of Bayesian Dynamic Models and Equity Momentum Strategies," Tinbergen Institute Discussion Papers 16-099/III, Tinbergen Institute.
• Lavergne, Pascal & Nguimkeu, Pierre, 2016. "A Hausman Specification Test of Conditional Moment Restrictions," TSE Working Papers 16-743, Toulouse School of Economics (TSE).
• Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020. "The Time-series Linkages between US Fiscal Policy and Asset Prices," Public Finance Review, , vol. 48(3), pages 303-339, May.
  • Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2015. "The Time-Series Linkages between US Fiscal Policy and Asset Prices," Working Papers 201519, University of Pretoria, Department of Economics.
  • Ghassen El Montasser & Rangan Gupta & Charl Jooste & Stephen M. Miller, 2016. "