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. Bootstrap Methods

2020

• Pihnastyi, Oleh & Yemelianova, Daria & Lysytsia, Dmytro, 2020, "Using PDE-model and system dynamics model for describing multi-operation production lines," MPRA Paper, University Library of Munich, Germany, number 103975, Aug, revised 31 Aug 2020.
• Nartikoev, Alan & Peresetsky, Anatoly, 2020, "Эндогенная Классификация Домохозяйств В Регионах России
  [Endogenous household classification: Russian regions]," MPRA Paper, University Library of Munich, Germany, number 104351, Sep.
• Pihnastyi, Oleh & Khodusov, Valery, 2020, "The stabilization problem the flow parameters of the production line," MPRA Paper, University Library of Munich, Germany, number 104528, Sep, 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, University Library of Munich, Germany, number 104681, Nov, revised 12 Nov 2020.
• Wang, Wenjie, 2020, "On Bootstrap Validity for the Test of Overidentifying Restrictions with Many Instruments and Heteroskedasticity," MPRA Paper, University Library of Munich, Germany, number 104858, Dec.
• Juodis, Arturas & Sarafidis, Vasilis, 2020, "An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper, University Library of Munich, Germany, number 104906, Dec.
• Juodis, Arturas & Sarafidis, Vasilis, 2020, "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper, University Library of Munich, Germany, number 104908, Dec.
• Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2020, "On an integer-valued stochastic intensity model for time series of counts," MPRA Paper, University Library of Munich, Germany, number 105406, Jan.
• Pihnastyi, Oleh & Kozhevnikov, Georgii, 2020, "Control of a Conveyor Based on a Neural Network," MPRA Paper, University Library of Munich, Germany, number 111950, Oct, revised 09 Oct 2021.
• Onour, Ibrahim, 2020, "Modeling the impact of economic sanctions on a small open economy: A dynamic approach," MPRA Paper, University Library of Munich, Germany, number 116005, Aug.
• Michal Vyskocil, 2020, "Scenario Analysis Approach for Operational Risk in Insurance Companies," ACTA VSFS, University of Finance and Administration, volume 14, issue 2, pages 153-165.
• Luís Martins, 2020, "Imputation of the Portuguese Household Finance and Consumption Survey," Working Papers, Banco de Portugal, Economics and Research Department, number o202002.
• James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022, "Testing for the appropriate level of clustering in linear regression models," Working Paper, Economics Department, Queen's University, number 1428, Dec.
• Obafèmi Philippe Koutchadé & Alain Carpentier & Fabienne Féménia, 2020, "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers SMART, INRAE UMR SMART, number 20-09.
• Jonathan Kearns & Mike Major & David Norman, 2020, "How Risky is Australian Household Debt?," RBA Research Discussion Papers, Reserve Bank of Australia, number rdp2020-05, Aug, DOI: 10.47688/rdp2020-05.
• Jean-Marie Dufour & Abdeljelil Farhat & Lynda Khalaf, 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, volume 96, issue 4, pages 545-566.
• James G. MacKinnon, 2020, "Wild cluster bootstrap confidence intervals," L'Actualité Economique, Société Canadienne de Science Economique, volume 96, issue 4, pages 721-743.
• Refk Selmi & Jamal Bouoiyour & Shawkat Hammoudeh, 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, volume 35, issue 4, pages 724-750.
• Marilia Firmiano & Guilherme Irffi, 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), volume 14, issue 3, pages 392-419.
• Xiaobin Liu & Shuping Shi & Jun Yu, 2020, "Persistent and Rough Volatility," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 23-2020, Nov.
• 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, , volume 48, issue 3, pages 303-339, May, DOI: 10.1177/1091142120916032.
• 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, volume 10, issue 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, volume 10, issue 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, volume 1, issue 13, pages 40-50, June.
• Seong Hee Kim & Byung-Yeon Kim, 2020, "Migration And Trust: Evidence From West Germany After Unification," Working Paper Series, Institute of Economic Research, Seoul National University, number no139, Sep.
• 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, volume 104, issue 1, pages 5-32, March, DOI: 10.1007/s10182-018-00347-9.
• 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
  [Methoden zur Behandlung von Unterrepräsentati," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, volume 14, issue 3, pages 267-304, December, DOI: 10.1007/s11943-020-00275-8.
• Arianna Agosto & Paolo Giudici, 2020, "COVID-19 contagion and digital finance," Digital Finance, Springer, volume 2, issue 1, pages 159-167, September, DOI: 10.1007/s42521-020-00021-3.
• M. Chudý & S. Karmakar & W. B. Wu, 2020, "Long-term prediction intervals of economic time series," Empirical Economics, Springer, volume 58, issue 1, pages 191-222, January, DOI: 10.1007/s00181-019-01689-2.
• Kristian Jönsson, 2020, "Real-time US GDP gap properties using Hamilton’s regression-based filter," Empirical Economics, Springer, volume 59, issue 1, pages 307-314, July, DOI: 10.1007/s00181-019-01631-6.
• Andrés Ramírez-Hassan, 2020, "Dynamic variable selection in dynamic logistic regression: an application to Internet subscription," Empirical Economics, Springer, volume 59, issue 2, pages 909-932, August, DOI: 10.1007/s00181-019-01644-1.
• Vadim Kufenko, 2020, "Hide-and-Seek with time-series filters: a model-based Monte Carlo study," Empirical Economics, Springer, volume 59, issue 5, pages 2335-2361, November, DOI: 10.1007/s00181-019-01736-y.
• Marián Vávra, 2020, "Assessing distributional properties of forecast errors for fan-chart modelling," Empirical Economics, Springer, volume 59, issue 6, pages 2841-2858, December, DOI: 10.1007/s00181-019-01726-0.
• 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, volume 15, issue 3, pages 613-631, July, DOI: 10.1007/s11403-019-00249-2.
• 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, volume 6, issue 2, pages 113-124, December, DOI: 10.1007/s40881-020-00097-y.
• 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, volume 13, issue 1, pages 37-47, April, DOI: 10.1007/s12076-020-00243-4.
• 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, volume 11, issue 1, pages 51-82, March, DOI: 10.1007/s13209-019-0194-8.
• 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, volume 152, issue 1, pages 335-367, November, DOI: 10.1007/s11205-020-02430-8.
• Kyriazopoulos Georgios & Sariannidis Nikolaos & Parpoutzidou Androniki, 2020, "Evaluation of the main African Stock Exchanges Markets for Foreign Direct Investments. A Statistical Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 10, issue 5, pages 1-13.
• 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, volume 9, issue 1, pages 1-4.
• Alessandro Palandri, 2020, "Size-Dependent Probability Bounds for t-Tests," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 9, issue 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, volume 9, issue 4, pages 1-1.
• Edward Knotek & Saeed Zaman, 2020, "Real-time density nowcasts of US inflation: a model-combination approach," Working Papers, University of Strathclyde Business School, Department of Economics, number 2015, Oct.
• Elise Coudin & Jean-Marie Dufour, 2020, "Finite-sample generalized confidence distributions and sign-based robust estimators in median regressions with heterogeneous dependent errors," Econometric Reviews, Taylor & Francis Journals, volume 39, issue 8, pages 763-791, September, DOI: 10.1080/07474938.2020.1772568.
• 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, volume 115, issue 531, pages 1092-1110, July, DOI: 10.1080/01621459.2019.1660171.
• 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, Tinbergen Institute, number 20-015/III, Mar.
• Damian Clarke & Joseph P. Romano & Michael Wolf, 2020, "The Romano–Wolf multiple-hypothesis correction in Stata," Stata Journal, StataCorp LLC, volume 20, issue 4, pages 812-843, December, DOI: 10.1177/1536867X20976314.
• 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, Department of Economics, University of Siena, number 829, May.
• Federico Crudu & Laura Neri & Silvia Tiezzi, 2020, "Family Ties and Child Obesity in Italy," Department of Economics University of Siena, Department of Economics, University of Siena, number 845, Oct.
• Ansel Schiavone, 2020, "Essentially Unemployed: Potential Implications of the COVID-19 Crisis on Wage Inequality," Working Paper Series, Department of Economics, University of Utah, University of Utah, Department of Economics, number 2020_06.
• Firmin Doko Tchatoka & Qazi Haque, 2020, "On bootstrapping tests of equal forecast accuracy for nested models," Economics Discussion / Working Papers, The University of Western Australia, Department of Economics, number 20-06.
• 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, volume 16, issue 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, Paradigm, volume 24, issue 2, pages 17-29, June, DOI: 10.15611/eada.2020.2.02.
• 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, Paradigm, volume 6, issue 1, pages 46-81, March, DOI: 10.18559/ebr.2020.1.3.
• 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, Paradigm, volume 20, issue 1, pages 408-420, June, DOI: 10.2478/foli-2020-0024.
• Trzcińska Kamila, 2020, "Analysis of Household Income in Poland Based on the Zenga Distribution and Selected Income Inequality Measure," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 1, pages 421-436, June, DOI: 10.2478/foli-2020-0025.
• Yoshino Naoyuki & Gupta Prachi, 2020, "How to Avoid Household Debt Overhang? An Analytical Framework and Analysis for India," International Review of Financial Consumers, Paradigm, volume 5, issue 1, pages 1-11, DOI: 10.36544/irfc.2020.5-1.1.
• 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, volume 28, issue 3, pages 1-11, September, DOI: 10.1515/remav-2020-0019.
• Oleh Bilyk & Paweł Sakowski & Robert Ślepaczuk, 2020, "Investing in VIX futures based on rolling GARCH models forecasts," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-10.
• Bartłomiej Bollin & Robert Ślepaczuk, 2020, "Variance Gamma Model in Hedging Vanilla and Exotic Options," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-31.
• Quynh Bui & Robert Ślepaczuk, 2020, "Applying Hurst Exponent in Pair Trading Strategies," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-39.
• 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, The World Bank, number 9222, Apr.
• 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, The World Bank, number 9231, May.
• 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, volume 41, issue 2, pages 321-336, June, DOI: 10.1111/1475-5890.12231.
• Jia Chen & Yongcheol Shin & Chaowen Zheng, 2020, "Estimation and Inference in Heterogeneous Spatial Panel Data Models with a Multifactor Error Structure," Discussion Papers, Department of Economics, University of York, number 20/03, Mar.
• Lux, Thomas, 2020, "Bayesian estimation of agent-based models via adaptive particle Markov chain Monte Carlo," Economics Working Papers, Christian-Albrechts-University of Kiel, Department of Economics, number 2020-01.
• 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, University of Goettingen, Department of Economics, number 404.
• 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, volume 8, issue 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," GLO Discussion Paper Series, Global Labor Organization (GLO), number 535.
• 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, Global Labor Organization (GLO), number 538.
• Cai, Zhengyu, 2020, "Imperfect Mobility," GLO Discussion Paper Series, Global Labor Organization (GLO), number 623.
• 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, Kiel Institute for the World Economy, number 2020-5.
• Poncela, Pilar & Ruiz, Esther, 2020, "A comment on the dynamic factor model with dynamic factors," Economics Discussion Papers, Kiel Institute for the World Economy, number 2020-7.
• 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, volume 14, pages 1-14, DOI: 10.5018/economics-ejournal.ja.2020-.
• 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, volume 14, pages 1-18, DOI: 10.5018/economics-ejournal.ja.2020-.
• 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, volume 14, pages 1-27, DOI: 10.5018/economics-ejournal.ja.2020-.
• Tödter, Karl-Heinz, 2020, "Ein SIRD-Modell zur Infektionsdynamik mit endogener Behandlungskapazität und Lehren für Corona-Statistiken," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 141.
• Farkas, Mátyás & Tatar, Balint, 2020, "Bayesian estimation of DSGE models with Hamiltonian Monte Carlo," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 144.
• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2020, "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," Working Papers, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin, number 17, DOI: 10.18452/21404.
• Steen Nielsen, 2020, "Management accounting and the idea of machine learning," Economics Working Papers, Department of Economics and Business Economics, Aarhus University, number 2020-09, Aug.
• James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020, "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-06, Jun.
• Firmin Doko Tchatoka & Qazi Haque, 2020, "On bootstrapping tests of equal forecast accuracy for nested models," Adelaide Economics Working Papers, Adelaide University, School of Economics, number 2020-03, Feb.
• Mark F. J. Steel, 2020, "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, volume 58, issue 3, pages 644-719, September, DOI: 10.1257/jel.20191385.
• Koutchadé, Obafèmi Philippe & Carpentier, Alain & Féménia, Fabienne, 2020, "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), number 307209, DOI: 10.22004/ag.econ.307209.
• 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, DOI: 10.47743/rebs-2020-2-0002.
• 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, volume 2, issue 48, pages 64-75, December.
• Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020, "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2020021, Jan.
• Simar, Leopold & Zelenyuk, Valentin, 2020, "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2020002, Jan.
• 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, volume 70, issue 3, pages 449-468, September, DOI: 10.1556/032.2020.00022.
• Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020, "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers, arXiv.org, number 2001.04867, Jan, revised Jan 2022.
• Carlos Lamarche & Thomas Parker, 2020, "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers, arXiv.org, number 2004.05127, Apr, revised May 2022.
• Carol Alexander & Xiaochun Meng & Wei Wei, 2020, "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers, arXiv.org, number 2004.06586, Apr, revised Sep 2021.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020, "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers, arXiv.org, number 2004.07571, Apr.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Papers, arXiv.org, number 2004.11486, Apr.
• Takaaki Koike & Yuri F. Saporito & Rodrigo S. Targino, 2020, "Avoiding zero probability events when computing Value at Risk contributions," Papers, arXiv.org, number 2004.13235, Apr, 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, arXiv.org, number 2012.14693, Dec.
• 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), Bank of Italy, Economic Research and International Relations Area, number 546, Mar.
• Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020, "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1285, Jul.
• Nicola Curci & Giuseppe Grasso & Pasquale Recchia & Marco Savegnago, 2020, "Anti-poverty measures in Italy: a microsimulation analysis," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1298, Sep.
• Benavides Guillermo, 2020, "Asymmetric Volatility Effects in Risk Management: An Empirical Analysis using a Stock Index Futures," Working Papers, Banco de México, number 2020-10, Sep.
• 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, volume 65, issue 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, volume 79, issue 3, pages 3-29, September, DOI: 10.31477/rjmf.202003.03.
• 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, volume 72, issue 1, pages 50-62, January, DOI: 10.1111/boer.12209.
• 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, volume 82, issue 6, pages 1456-1481, December, DOI: 10.1111/obes.12377.
• ROY Subrata, 2020, "Gold & Stock Relation: Investors Reaction During Covid-19 Outbreak," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 72, issue 3, pages 103-126, November.
• M. Mouchart & R. Orsi & G. Wunsch, 2020, "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers, Dipartimento Scienze Economiche, Universita' di Bologna, number wp1143, Feb.
• Graziano Moramarco, 2020, "Measuring Global Macroeconomic Uncertainty," Working Papers, Dipartimento Scienze Economiche, Universita' di Bologna, number wp1148, Jun.
• 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, volume 24, issue 2, pages 1-18, April, DOI: 10.1515/snde-2018-0029.
• Ahmad Yamin S & Paya Ivan, 2020, "Temporal aggregation of random walk processes and implications for economic analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 24, issue 2, pages 1-20, April, DOI: 10.1515/snde-2017-0102.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Brandeis University, Department of Economics and International Business School, number 130, Apr.
• 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, Faculty of Economics, University of Cambridge, number 2001, Jan.
• Linton, O. & Seo, M. & Whang, Y-J., 2020, "Testing Stochastic Dominance with Many Conditioning Variables," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2004, Jan.
• 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, Faculty of Economics, University of Cambridge, number 20102, Nov.
• Tambakis, D., 2020, "A Markov-Chain Measure of Systemic Banking Crisis Frequency," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2083, Sep.
• W. Robert Reed, 2020, "A Note on the Use of Partial Correlation Coefficients in Meta-Analyses," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 20/08, Mar.
• Sanghyun Hong & W. Robert Reed, 2020, "Using Monte Carlo Experiments to Select Meta-Analytic Estimators," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 20/10, Jun.
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• 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.