Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C5: Econometric Modeling
/ / / C52: Model Evaluation, Validation, and Selection

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

1. > Econometrics > Forecasting
2. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models

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This topic is covered by the following reading lists:

1. SOEP based publications
2. Socio-Economics of Innovation

2023

• Maria Teresa Medeiros Garcia & AndrĂ© Fernando Rodrigues Rocha da Silva, 2023. "Pension expenditure determinants: the case of Portugal," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 177-203.
• Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023. "Synthetic Difference In Differences Estimation," Papers 2301.11859, arXiv.org, revised Feb 2023.
  • Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023. "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers 15907, Institute of Labor Economics (IZA).
• Gehr, Katja & Pflüger, Michael P., 2023. "The Worth of Cities in Germany," IZA Discussion Papers 16127, Institute of Labor Economics (IZA).
• Millimet, Daniel L. & Bellemare, Marc, 2023. "Fixed Effects and Causal Inference," IZA Discussion Papers 16202, Institute of Labor Economics (IZA).
• Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023. "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202302, University of Kansas, Department of Economics, revised Jan 2023.
• Shahnaz Parsaeian, 2023. "Structural Breaks in Seemingly Unrelated Regression Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202308, University of Kansas, Department of Economics.
• Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023. "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1637-1664, April.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," Tinbergen Institute Discussion Papers 21-038/III, Tinbergen Institute.
  • Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," EIEF Working Papers Series 2108, Einaudi Institute for Economics and Finance (EIEF), revised May 2021.
• Jan G. De Gooijer, 2023. "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 407-424, June.
• Dmitry Bazhutov & André Betzer & Richard Stehle, 2023. "Beta estimation in the European network regulation context: what matters, what doesn’t, and what is indispensable," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(3), pages 239-275, September.
• Kathryn E. Easterday & Pradyot K. Sen, 2023. "Another look at the dividend-price relationship in the accounting valuation framework," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 879-925, October.
• Csató, László & Bodnár, Gergely, 2023. "Mérhetnénk jobban a csapatok erejét a Bajnokok Ligájában? Fontos megjegyzés az Európai Labdarúgó-szövetség számára [How to better measure team strength in the Champions League. An important message," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 813-827.
• Anna Matuszyk, 2023. "Comparison of different approaches using Random Forest for imbalanced credit data," Bank i Kredyt, Narodowy Bank Polski, vol. 54(4), pages 419-436.
• Lin William Cong & Nathan Darden George & Guojun Wang, 2023. "RIM-Based Value Premium and Factor Pricing Using Value-Price Divergence," NBER Working Papers 30967, National Bureau of Economic Research, Inc.
• Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023. "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," CESifo Working Paper Series 10484, CESifo.
  • Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023. "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," NBER Working Papers 31321, National Bureau of Economic Research, Inc.
• Jinyong Hahn & John D. Singleton & Neşe Yildiz, 2023. "Identification of Non-Additive Fixed Effects Models: Is the Return to Teacher Quality Homogeneous?," NBER Working Papers 31384, National Bureau of Economic Research, Inc.
• Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2023. "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," Natural Field Experiments 00776, The Field Experiments Website.
  • Aaron L. Bodoh-Creed & Brent R. Hickman & John A. List & Ian Muir & Gregory K. Sun, 2023. "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," NBER Working Papers 31647, National Bureau of Economic Research, Inc.
• Vasil Bozev, 2023. "A Study of Convergence in the Poverty of the Working Poor among European Union Countries," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 117-129, June.
• Sina Smid, 2023. "Understanding cultural differences and extreme attitudes in the 2021 OECD Trust Survey: Text analysis of open-ended responses," OECD Working Papers on Public Governance 57, OECD Publishing.
• Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models [Relating Quantiles and Expectiles under Weighted-Symmetry]," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 21(1), pages 1-72.
• Seok Young Hong & Ingmar Nolte & Stephen J Taylor & Xiaolu Zhao, 2023. "Volatility Estimation and Forecasts Based on Price Durations [Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise]," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 21(1), pages 106-144.
• Henry Penikas, 2023. "Unaccounted model risk for Basel IRB models deemed acceptable by conventional validation criteria," Risk Management, Palgrave Macmillan, vol. 25(4), pages 1-25, December.
• Mohajan, Devajit & Mohajan, Haradhan, 2023. "Sensitivity Analysis for Profit Maximization with Respect to Per Unit Cost of Subsidiary Raw Materials," MPRA Paper 116538, University Library of Munich, Germany, revised 10 Jan 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023. "Sensitivity Analysis between Lagrange Multipliers and Consumer Budget: Utility Maximization Case," MPRA Paper 116907, University Library of Munich, Germany, revised 19 Feb 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023. "A Study on Nonlinear Budget Constraint of a Local Industrial Firm of Bangladesh: A Profit Maximization Investigation," MPRA Paper 117324, University Library of Munich, Germany, revised 27 Mar 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023. "Economic Investigation of Lagrange Multiplier if Cost of Inputs and Budget Size of a Firm Increase: A Profit Maximization Endeavor," MPRA Paper 117993, University Library of Munich, Germany, revised 07 May 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023. "An Economical Study When Cost of Irregular Raw Materials of an Industry Increases for Nonlinear Budget Constraint," MPRA Paper 118176, University Library of Munich, Germany, revised 05 May 2023.
• Mohajan, Devajit, 2023. "Ponderal Index: An Important Anthropometric Indicator for Physical Growth," MPRA Paper 118334, University Library of Munich, Germany, revised 13 Feb 2023.
• Ryan Shackleton & Sonali Das & Rangan Gupta, 2023. "Comparing Risk Profiles of International Stock Markets as Functional Data: COVID-19 versus the Global Financial Crisis," Working Papers 202328, University of Pretoria, Department of Economics.
• Gogolev, Stepan & Ozhegov, Evgeniy, 2023. "Asymmetric loss function in product-level sales forecasting: An empirical comparison," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 109-121.
• Saissi Hassani, Samir & Dionne, Georges, 2023. "Using skewed exponential power mixture for VaR and CVaR forecasts to comply with market risk regulation," Working Papers 23-2, HEC Montreal, Canada Research Chair in Risk Management.
• Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2023. "Labor Market Institutions, Productivity, and the Business Cycle: An Application to Italy," Cahiers de recherche / Working Papers 2302, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
• Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," Papers 2305.06618, arXiv.org.
  • Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
• Fayaz Ahmad Lone & M. Imran Ganaie & Showkat A. Ganaie & M. Shafi Bhat & Javeed Ahmad Rather, 2023. "Evaluation Criteria for the Suitability of Apple Cultivation in Kashmir Valley, India," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 20(1), pages 71-85, June.
• Laura Felber & Simon Beyeler, 2023. "Nowcasting economic activity using transaction payments data," Working Papers 2023-01, Swiss National Bank.
• Joao Felix & Michel Alexandre & Gilberto Tadeu Lima, 2023. "Applying Machine Learning Algorithms to Predict the Size of the Informal Economy," Working Papers, Department of Economics 2023_10, University of São Paulo (FEA-USP), revised 11 Sep 2023.
• Erdinc Akyildirim & Alper A. Hekimoglu & Ahmet Sensoy & Frank J. Fabozzi, 2023. "Extending the Merton model with applications to credit value adjustment," Annals of Operations Research, Springer, vol. 326(1), pages 27-65, July.
• Laura Spierdijk, 2023. "Assessing the consistency of the fixed-effects estimator: a regression-based Wald test," Empirical Economics, Springer, vol. 64(4), pages 1599-1630, April.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2023. "Modelling Okun’s law: Does non-Gaussianity matter?," Empirical Economics, Springer, vol. 64(5), pages 2183-2213, May.
  • Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
• Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
• Rodrigo Mulero & Alfredo Garcia-Hiernaux, 2023. "Forecasting unemployment with Google Trends: age, gender and digital divide," Empirical Economics, Springer, vol. 65(2), pages 587-605, August.
• David Neto, 2023. "Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications," Empirical Economics, Springer, vol. 65(2), pages 949-971, August.
• Sarra Ghaddab & Manel Kacem & Christian Peretti & Lotfi Belkacem, 2023. "Extreme severity modeling using a GLM-GPD combination: application to an excess of loss reinsurance treaty," Empirical Economics, Springer, vol. 65(3), pages 1105-1127, September.
• Weijia Peng & Chun Yao, 2023. "Sector-level equity returns predictability with machine learning and market contagion measure," Empirical Economics, Springer, vol. 65(4), pages 1761-1798, October.
• Galina Williams & Irina Kinchin, 2023. "The application of discrete choice experiments eliciting young peoples’ preferences for healthcare: a systematic literature review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 987-998, 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.
• Jiri Kukacka & Ladislav Kristoufek, 2023. "Fundamental and speculative components of the cryptocurrency pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
• James Yae & Yang Luo, 2023. "Robust monitoring machine: a machine learning solution for out-of-sample R $$^2$$ 2 -hacking in return predictability monitoring," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
• Mustafa Yurtsever, 2023. "Unemployment rate forecasting: LSTM-GRU hybrid approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-9, December.
• Henk-Wim Boer & Egbert L. W. Jongen, 2023. "Analysing tax-benefit reforms in the Netherlands using structural models and natural experiments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 179-209, January.
• Christos Agiakloglou & Apostolos Tsimpanos, 2023. "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.
• Rudrani Bhattacharya & Bornali Bhandari & Sudipto Mundle, 2023. "Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 213-234, March.
• Shikha Gupta & Nand Kumar, 2023. "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 81-97, January.
• Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
• Paulo Chávez & Gabriel Rodríguez, 2023. "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(2), pages 505-544, May.
  • Paulo Chávez & Gabriel Rodríguez, 2022. "Time Changing Effects of External Shocks on Macroeconomic Fluctuations in Peru: Empirical Application Using Regime-Switching VAR Models with Stochastic Volatility," Documentos de Trabajo / Working Papers 2022-509, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Saeed Shaker-Akhtekhane & Solmaz Poorabbas, 2023. "Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-6.
• Ådne Cappelen & Pierre Mohnen & Arvid Raknerud & Marina Rybalka, 2023. "A new approach to estimating private returns to R&D," Discussion Papers 1005, Statistics Norway, Research Department.
• Hoang Nguyen & Trong-Nghia Nguyen & Minh-Ngoc Tran, 2023. "A dynamic leverage stochastic volatility model," Applied Economics Letters, Taylor & Francis Journals, vol. 30(1), pages 97-102, January.
  • Nguyen, Hoang & Nguyen, Trong-Nghia & Tran, Minh-Ngoc, 2021. "A dynamic leverage stochastic volatility model," Working Papers 2021:14, Örebro University, School of Business.
• Joshua C. C. Chan, 2023. "Large Hybrid Time-Varying Parameter VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(3), pages 890-905, July.
  • Joshua C.C. Chan, 2019. "Large hybrid time-varying parameter VARs," CAMA Working Papers 2019-77, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Joshua C. C. Chan, 2022. "Large Hybrid Time-Varying Parameter VARs," Papers 2201.07303, arXiv.org, revised Jun 2022.
• Frédéric Vrins & Linqi Wang, 2023. "Asymmetric short-rate model without lower bound," Quantitative Finance, Taylor & Francis Journals, vol. 23(2), pages 279-295, February.
  • Vrins, Frédéric & Wang, Linqi, 2021. "Asymmetric short-rate model without lower bound," LIDAM Discussion Papers LFIN 2021006, Université catholique de Louvain, Louvain Finance (LFIN).
• Thomas H. Jørgensen, 2023. "Sensitivity to Calibrated Parameters," The Review of Economics and Statistics, MIT Press, vol. 105(2), pages 474-481, March.
  • Thomas H. J{o}rgensen, 2020. "Sensitivity to Calibrated Parameters," Papers 2004.12100, arXiv.org, revised Mar 2021.
  • Thomas Jorgensen, 2020. "Sensitivity to Calibrated Parameters," CeMMAP working papers CWP16/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Thomas H. Jørgensen, 2021. "Sensitivity to Calibrated Parameters," CEBI working paper series 20-14, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
• Stanca Lorenzo, 2023. "Robust Bayesian Choice," Working papers 079, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
• Luca Benati & Thomas A. Lubik, 2023. "Impulse Response Analysis at the Zero Lower Bound," Diskussionsschriften dp2306, Universitaet Bern, Departement Volkswirtschaft.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023. "Uncovering the semantics of concepts using GPT-4 and Other recent large language models," Economics Working Papers 1864, Department of Economics and Business, Universitat Pompeu Fabra.
• Berezka Kateryna & Kovalchuk Olha, 2023. "The Application of Association Rules to Detect the Effects of Vaccinations against Covid-19 in the EU-27. Preliminary Estimates," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(1), pages 1-16, March.
• Węcel Krzysztof & Sawiński Marcin & Stróżyna Milena & Lewoniewski Włodzimierz & Księżniak Ewelina & Stolarski Piotr & Abramowicz Witold, 2023. "Artificial intelligence—friend or foe in fake news campaigns," Economics and Business Review, Sciendo, vol. 9(2), pages 41-70, April.
• Volvach Olena, 2023. "Assessment of the efficiency of use of EPS by business," Economics, Sciendo, vol. 11(1), pages 233-249, June.
• Marcin Chlebus & Artur Nowak, 2023. "From Alchemy to Analytics: Unleashing the Potential of Technical Analysis in Predicting Noble Metal Price Movement," Working Papers 2023-13, Faculty of Economic Sciences, University of Warsaw.
• 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.
• Aaron J. Amburgey & Michael W. McCracken, 2023. "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 137-163, March.
  • Aaron Amburgey & Michael W. McCracken, 2022. "On the Real-Time Predictive Content of Financial Conditions Indices for Growth," Working Papers 2022-003, Federal Reserve Bank of St. Louis, revised 03 Jun 2022.
• Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
  • Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023. "Forecasting inflation: The use of dynamic factor analysis and nonlinear combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 514-529, April.
  • Stephen G. Hall & George S. Tavlas & Yongli Wang, 2022. "Forecasting Inflation: The Use of Dynamic Factor Analysis and Nonlinear Combinations," Discussion Papers 22-12, Department of Economics, University of Birmingham.
  • Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023. "Forecasting inflation: the use of dynamic factor analysis and nonlinear combinations," Working Papers 314, Bank of Greece.
• Carlos Cañizares Martínez & Gabe J. de Bondt & Arne Gieseck, 2023. "Forecasting housing investment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 543-565, April.
  • Martínez, Carlos Cañizares & de Bondt, Gabe & Gieseck, Arne, 2023. "Forecasting housing investment," Working Paper Series 2807, European Central Bank.
• Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023. "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
  • Timothy Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2022. "Bootstrap Inference Under Cross Sectional Dependence," Working papers 2022-14, University of Connecticut, Department of Economics.
• Quast, Josefine & Wolters, Maik H., 2023. "The Federal Reserve's output gap: The unreliability of real-time realiability tests," IMFS Working Paper Series 179, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Ankel-Peters, Jörg & Bensch, Gunther & Vance, Colin, 2023. "Spotlight on researcher decisions: Infrastructure evaluation, instrumental variables, and specification screening," Ruhr Economic Papers 991, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Changli He & Jian Kang & Annastiina Silvennoinen & Timo Teräsvirta, 2023. "Long Monthly European Temperature Series and the North Atlantic Oscillation," Economics Working Papers 2023-03, Department of Economics and Business Economics, Aarhus University.
• Petra E. Todd & Kenneth I. Wolpin, 2023. "The Best of Both Worlds: Combining Randomized Controlled Trials with Structural Modeling," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 41-85, March.
• Dorel Mihai Paraschiv & Narciz Balasoiu & Souhir Ben-Amor & Raul Cristian Bag, 2023. "Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 463-463, April.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023. "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers 23/002, European Xtramile Centre of African Studies (EXCAS).
  • Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023. "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers of the African Governance and Development Institute. 23/002, African Governance and Development Institute..
• Awa Traoré & Simplice A. Asongu, 2023. "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 23/054, African Governance and Development Institute..
• Lucian MIRESCU & Ana-Maria Camelia POPESCU, 2023. "A Statistical Study On Key Performance Indicators In Health System," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 25-35, May.
• Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023. "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers 15907, Institute of Labor Economics (IZA).
  • Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023. "Synthetic Difference In Differences Estimation," Papers 2301.11859, arXiv.org, revised Feb 2023.
• Gonzalo, Jesús & Pitarakis, Jean-Yves, 2020. "Out of sample predictability in predictive regressions with many predictor candidates," UC3M Working papers. Economics 31554, Universidad Carlos III de Madrid. Departamento de Economía.
  • Jesus Gonzalo & Jean-Yves Pitarakis, 2023. "Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates," Papers 2302.02866, arXiv.org.
• Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
  • Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," Papers 2305.06618, arXiv.org.
• Tony Chernis, 2023. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers 23-45, Bank of Canada.
• Federica Ciocchetta & Elisa Guglielminetti & Alessandro Mistretta, 2023. "What drives house prices in Europe?," Questioni di Economia e Finanza (Occasional Papers) 764, Bank of Italy, Economic Research and International Relations Area.
• Raffaele De Marchi & Alessandro Moro, 2023. "Forecasting fiscal crises in emerging markets and low-income countries with machine learning models," Temi di discussione (Economic working papers) 1405, Bank of Italy, Economic Research and International Relations Area.
• Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023. "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia 1241, Banco de la Republica de Colombia.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023. "Uncovering the Semantics of Concepts Using GPT-4 and Other Recent Large Language Models," Working Papers 1394, Barcelona School of Economics.
• Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," "Marco Fanno" Working Papers 0257, Dipartimento di Scienze Economiche "Marco Fanno".
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," CESifo Working Paper Series 8438, CESifo.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Working Papers wp1151, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2021. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Monash Economics Working Papers 2021-08, Monash University, Department of Economics.
  • Angelini, Giovanni & Caggiano, Giovanni & Castelnuovo, Efrem & Fanelli, Luca, 2020. "Are fiscal multipliers estimated with proxy-SVARs robust?," Bank of Finland Research Discussion Papers 13/2020, Bank of Finland.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are fiscal multipliers estimated with proxy-SVARs robust?," CAMA Working Papers 2020-69, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Sune Karlsson & Pär Österholm, 2023. "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(1), pages 287-314, January.
  • Karlsson, Sune & Österholm, Pär, 2018. "Is the US Phillips Curve Stable? Evidence from Bayesian VARs," Working Papers 2018:5, Örebro University, School of Business.
• Kumar, Rishabh & Koshiyama, Adriano & da Costa, Kleyton & Kingsman, Nigel & Tewarrie, Marvin & Kazim, Emre & Roy, Arunita & Treleaven, Philip & Lovell, Zac, 2023. "Deep learning model fragility and implications for financial stability and regulation," Bank of England working papers 1038, Bank of England.
• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023. "Forecasting inflation: The use of dynamic factor analysis and nonlinear combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 514-529, April.
  • Stephen G. Hall & George S. Tavlas & Yongli Wang, 2022. "Forecasting Inflation: The Use of Dynamic Factor Analysis and Nonlinear Combinations," Discussion Papers 22-12, Department of Economics, University of Birmingham.
  • Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023. "Forecasting inflation: the use of dynamic factor analysis and nonlinear combinations," Working Papers 314, Bank of Greece.
• Zacharias Bragoudakis & Ioannis Krompas, 2023. "Greek GDP forecasting using Bayesian multivariate models," Working Papers 321, Bank of Greece.
• Yoshibumi Makabe & Yosuke Matsumoto & Wataru Hirata, 2023. "Estimating Pipeline Pressures in New Keynesian Phillips Curves: A Bayesian VAR-GMM Approach," Bank of Japan Working Paper Series 23-E-13, Bank of Japan.
• Yin Shou-Yung & Lin Chang-Ching & Chang Ming-Jen, 2023. "Interest Rate Persistence and Monetary Policy Rule in Light of Model Uncertainty," German Economic Review, De Gruyter, vol. 24(2), pages 145-190, May.
• Blazsek Szabolcs & Blazsek Virag & Kobor Adam, 2023. "Conservatorship, quantitative easing, and mortgage spreads: a new multi-equation score-driven model of policy actions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(2), pages 237-264, April.
• Meenagh, David & Minford, Patrick & Xu, Yongdeng, 2023. "Indirect Inference and Small Sample Bias - Some Recent Results," Cardiff Economics Working Papers E2023/15, Cardiff University, Cardiff Business School, Economics Section.
• Alena Skolkova, 2023. "Model Averaging with Ridge Regularization," CERGE-EI Working Papers wp758, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2020. "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," Globalization Institute Working Papers 394, Federal Reserve Bank of Dallas, revised 18 Jan 2023.
  • Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2023. "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," CESifo Working Paper Series 10223, CESifo.
• Christina Anderl & Guglielmo Maria Caporale, 2023. "Time-Varying Parameters in Monetary Policy Rules: A GMM Approach," CESifo Working Paper Series 10451, CESifo.
• Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023. "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," NBER Working Papers 31321, National Bureau of Economic Research, Inc.
  • Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023. "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," CESifo Working Paper Series 10484, CESifo.
• Alberto Quaini & Fabio Trojani & Ming Yuan, 2023. "Tradable Factor Risk Premia and Oracle Tests of Asset Pricing Models," Swiss Finance Institute Research Paper Series 23-81, Swiss Finance Institute.
• Dante Amengual & Xinyue Bei & Enrique Sentana, 2023. "Highly Irregular Serial Correlation Tests," Working Papers wp2023_2302, CEMFI.
• Diana Marcela Jiménez & Lina Alejandra Zarama Valdes & Juan Camilo Urbano & Daniel Giron & Estefano Castillo & Aura María Barberán & Álvaro José Pretel & Esneyder Cortes Salina, 2023. "Entre la reinvención y la reactivación: el caso del Plan Reactívate Fundación WWB Colombia como estrategia de recuperación económica enfocada en emprendimientos por necesidad," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 93(4), pages 139-176, March.
• Peter B. Dixon & Maureen T. Rimmer, 2023. "What do GTAP databases tell us about technologies for industries and regions?," Centre of Policy Studies/IMPACT Centre Working Papers g-340, Victoria University, Centre of Policy Studies/IMPACT Centre.
• Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Does anything beat ACD(1,1)?," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
• Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2023. "Deep Dynamic Factor Models," Working Papers 2023-08, Center for Research in Economics and Statistics.
• Alban Moura & Olivier Pierrard, 2022. "How well do DSGE models with real estate and collateral constraints fit the data?," BCL working papers 168, Central Bank of Luxembourg.
  • Alban Moura & Olivier Pierrard, 2023. "How well do DSGE models with real estate and collateral constraints fit the data?," LIDAM Discussion Papers IRES 2023007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
• Таня Горчева & Здравко Любенов & Ивайло Петров, 2023. "Европейската Зелена Сделка – Предпоставка За Генериране На Устойчив И Приобщаващ Растеж В Българската Икономика," Scientific Research Almanac, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, vol. 31(1 Year 20), pages 103-132.
• László KÓNYA, 2023. "Per Capita Income Convergence and Divergence of Selected OECD Countries to and from the US: A Reappraisal for the period 1900-2018," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 23(1), pages 33-56.
• Bańbura, Marta & Bobeica, Elena & Bodnár, Katalin & Fagandini, Bruno & Healy, Peter & Paredes, Joan, 2023. "Underlying inflation measures: an analytical guide for the euro area," Economic Bulletin Boxes, European Central Bank, vol. 5.
• Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
• Carlos Cañizares Martínez & Gabe J. de Bondt & Arne Gieseck, 2023. "Forecasting housing investment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 543-565, April.
  • Martínez, Carlos Cañizares & de Bondt, Gabe & Gieseck, Arne, 2023. "Forecasting housing investment," Working Paper Series 2807, European Central Bank.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
• Nicholas Adoboe-Mensah & Hussein Salia & Emmanuel Budu Addo, 2023. "Using the Beneish M-score Model to Detect Financial Statement Fraud in the Microfinance Industry in Ghana," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 47-57, July.
• Ra l De Jes s Guti rrez & Lidia E. Carvajal Guti rrez & Oswaldo Garcia Salgado, 2023. "Value at Risk and Expected Shortfall Estimation for Mexico s Isthmus Crude Oil Using Long-Memory GARCH-EVT Combined Approaches," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 467-480, July.
• 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.
• Zhang, Ming & Du, Panpan & Tu, Xianjin, 2023. "The role of intangible assets in promoting the sustainability of agri-food enterprises: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 928-939.
• Amin, Sakib Bin & Taghizadeh-Hesary, Farhad, 2023. "Tourism, sustainability, and the economy in Bangladesh: The innovation connection amidst Covid-19," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 153-167.
• Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2023. "Does inattentiveness matter for DSGE modeling? An empirical investigation," Economic Modelling, Elsevier, vol. 118(C).
  • Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2021. "Does Inattentiveness Matter for DSGE Modelling? An Empirical Investigation," Cardiff Economics Working Papers E2021/35, Cardiff University, Cardiff Business School, Economics Section.
• García, Jaume & Suárez, María José, 2023. "The relevance of specification assumptions when analyzing the drivers of physical activity practice," Economic Modelling, Elsevier, vol. 119(C).
• Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
• Qiu, Yue & Zheng, Yuchen, 2023. "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, vol. 125(C).
• Li, Boyan & Diao, Xundi, 2023. "Structural break in different stock index markets in China," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
• Li, Houjian & Zhou, Deheng & Hu, Jiayu & Li, Junwen & Su, Mengying & Guo, Lili, 2023. "Forecasting the realized volatility of Energy Stock Market: A multimodel comparison," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
• Agarwal, Shivam & Muckley, Cal B. & Neelakantan, Parvati, 2023. "Countering racial discrimination in algorithmic lending: A case for model-agnostic interpretation methods," Economics Letters, Elsevier, vol. 226(C).
• Choi, In & Lin, Rui & Shin, Yongcheol, 2023. "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 22-44.
• Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
• Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.
• Todorov, Viktor & Zhang, Yang, 2023. "Bias reduction in spot volatility estimation from options," Journal of Econometrics, Elsevier, vol. 234(1), pages 53-81.
• Brück, Florian & Fermanian, Jean-David & Min, Aleksey, 2023. "A corrected Clarke test for model selection and beyond," Journal of Econometrics, Elsevier, vol. 235(1), pages 105-132.
• Zhang, Xinyu & Liu, Chu-An, 2023. "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, vol. 235(1), pages 280-301.
• 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.
• Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
• Andersen, Torben G. & Riva, Raul & Thyrsgaard, Martin & Todorov, Viktor, 2023. "Intraday cross-sectional distributions of systematic risk," Journal of Econometrics, Elsevier, vol. 235(2), pages 1394-1418.
• Boot, Tom, 2023. "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1542-1563.
• Chen, Le-Yu & Lee, Sokbae, 2023. "Sparse quantile regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 2195-2217.
• Linton, Oliver & Seo, Myung Hwan & Whang, Yoon-Jae, 2023. "Testing stochastic dominance with many conditioning variables," Journal of Econometrics, Elsevier, vol. 235(2), pages 507-527.
• Perera, Indeewara & Silvapulle, Mervyn J., 2023. "Bootstrap specification tests for dynamic conditional distribution models," Journal of Econometrics, Elsevier, vol. 235(2), pages 949-971.
• Bennedsen, Mikkel & Lunde, Asger & Shephard, Neil & Veraart, Almut E.D., 2023. "Inference and forecasting for continuous-time integer-valued trawl processes," Journal of Econometrics, Elsevier, vol. 236(2).
• Diebold, Francis X. & Rudebusch, Glenn D. & Göbel, Maximilian & Goulet Coulombe, Philippe & Zhang, Boyuan, 2023. "When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume," Journal of Econometrics, Elsevier, vol. 236(2).
• Proietti, Tommaso & Pedregal, Diego J., 2023. "Seasonality in High Frequency Time Series," Econometrics and Statistics, Elsevier, vol. 27(C), pages 62-82.
  • Tommaso Proietti & Diego J. Pedregal, 2021. "Seasonality in High Frequency Time Series," CEIS Research Paper 508, Tor Vergata University, CEIS, revised 11 Mar 2021.
• Cepni, Oguzhan & Emirmahmutoglu, Furkan & Guney, Ibrahim Ethem & Yilmaz, Muhammed Hasan, 2023. "Do the carry trades respond to geopolitical risks? Evidence from BRICS countries," Economic Systems, Elsevier, vol. 47(2).
• Healy, Paul J. & Park, Hyoeun, 2023. "Model selection accuracy in behavioral game theory: A simulation," European Economic Review, Elsevier, vol. 152(C).
• Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
• Wang, Xiong & Li, Jingyao & Ren, Xiaohang & Bu, Ruijun & Jawadi, Fredj, 2023. "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Energy Economics, Elsevier, vol. 117(C).
• Blazsek, Szabolcs & Escribano, Alvaro, 2023. "Score-driven threshold ice-age models: Benchmark models for long-run climate forecasts," Energy Economics, Elsevier, vol. 118(C).
  • Blazsek, Szabolcs & Escribano, Álvaro, 2022. "Score-driven threshold ice-age models: benchmark models for long-run climate forecasts," UC3M Working papers. Economics 34757, Universidad Carlos III de Madrid. Departamento de Economía.
• Grothe, Oliver & Kächele, Fabian & Krüger, Fabian, 2023. "From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting," Energy Economics, Elsevier, vol. 120(C).
• Liu, Tao & Guan, Xinyue & Wei, Yigang & Xue, Shan & Xu, Liang, 2023. "Impact of economic policy uncertainty on the volatility of China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 121(C).
• Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023. "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, vol. 125(C).
• Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023. "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, vol. 85(C).
• Achakzai, Muhammad Atif Khan & Peng, Juan, 2023. "Detecting financial statement fraud using dynamic ensemble machine learning," International Review of Financial Analysis, Elsevier, vol. 89(C).
• Peña, Juan Ignacio, 2023. "The hedging effectiveness of electricity futures in the Spanish market," Finance Research Letters, Elsevier, vol. 53(C).
• Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao, 2023. "Can Green Economy stocks hedge natural gas market risk? Evidence during Russia-Ukraine conflict and other crisis periods," Finance Research Letters, Elsevier, vol. 53(C).
• Boos, Dominik & Grob, Linus, 2023. "Tracking speculative trading," Journal of Financial Markets, Elsevier, vol. 64(C).
• Fissler, Tobias & Merz, Michael & Wüthrich, Mario V., 2023. "Deep quantile and deep composite triplet regression," Insurance: Mathematics and Economics, Elsevier, vol. 109(C), pages 94-112.
• Wei, Yunran & Zitikis, Ričardas, 2023. "Assessing the difference between integrated quantiles and integrated cumulative distribution functions," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 163-172.
• Fortin, Alain-Philippe & Simonato, Jean-Guy & Dionne, Georges, 2023. "Forecasting expected shortfall: Should we use a multivariate model for stock market factors?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 314-331.
  • Fortin, Alain-Philippe & Simonato, Jean-Guy & Dionne, Georges, 2018. "Forecasting Expected Shortfall: Should we use a Multivariate Model for Stock Market Factors?," Working Papers 18-4, HEC Montreal, Canada Research Chair in Risk Management, revised 25 Jun 2021.
• Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
  • Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021. "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers) 1321, Bank of Italy, Economic Research and International Relations Area.
• Cong, Lin William & George, Nathan Darden & Wang, Guojun, 2023. "RIM-based value premium and factor pricing using value-price divergence," Journal of Banking & Finance, Elsevier, vol. 149(C).
• Manresa, Elena & Peñaranda, Francisco & Sentana, Enrique, 2023. "Empirical evaluation of overspecified asset pricing models," Journal of Financial Economics, Elsevier, vol. 147(2), pages 338-351.
  • Elena Manresa & Francisco Peñaranda & Enrique Sentana, 2017. "Empirical Evaluation of Overspecified Asset Pricing Models," Working Papers wp2017_1711, CEMFI.
  • Sentana, Enrique & Manresa, Elena & Penaranda, Francisco, 2017. "Empirical Evaluation of Overspecified Asset Pricing Models," CEPR Discussion Papers 12085, C.E.P.R. Discussion Papers.
• Hall, Stephen G. & Tavlas, George S. & Wang, Yongli, 2023. "Drivers and spillover effects of inflation: The United States, the euro area, and the United Kingdom☆," Journal of International Money and Finance, Elsevier, vol. 131(C).
• Ahmed, Shamim & Bu, Ziwen & Symeonidis, Lazaros & Tsvetanov, Daniel, 2023. "Which factor model? A systematic return covariation perspective," Journal of International Money and Finance, Elsevier, vol. 136(C).
• Shida, Jakob, 2023. "Primary market demand for German government bonds," Journal of International Money and Finance, Elsevier, vol. 137(C).
• Wei, Yu & Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A., 2023. "Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
• Ponomarenko, Alexey & Tatarintsev, Stas, 2023. "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
  • Alexey Ponomarenko & Stas Tatarintsev, 2020. "Incorporating financial development indicators into early warning systems," Bank of Russia Working Paper Series wps58, Bank of Russia.
• Kim, Duk Gyoo, 2023. "“One Bite at the apple”: Legislative bargaining without replacement," Journal of Economic Psychology, Elsevier, vol. 95(C).
• Olagunju, Kehinde Oluseyi & Olagunju, Kehinde Ademola & Ogunniyi, Adebayo Isaiah & Omotayo, Abiodun Olusola & Oyetunde-Usman, Zainab, 2023. "To own or not to own? Land tenure security and production risk in small-scale farming," Land Use Policy, Elsevier, vol. 127(C).
• Hu, Debao & Li, Xin & Xiang, George & Zhou, Qiyao, 2023. "Asset pricing models in the presence of higher moments: Theory and evidence from the U.S. and China stock market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
• Mishra, Ankita & Moosa, Imad A. & Tawadros, George B. & Mishra, Vinod, 2023. "The effect of political and bureaucratic regime changes on Australia's real interest rate," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 124-136.
• Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
• Wang, Yizhi & Wei, Yu & Lucey, Brian M. & Su, Yang, 2023. "Return spillover analysis across central bank digital currency attention and cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 64(C).
• Max Gillman & Adrian Pagan, 2023. "Investigating Cycle Anatomy," CAMA Working Papers 2023-09, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Miguel Herculano & Punnoose Jacob, 2023. "Financial Condition Indices in an Incomplete Data Environment," CAMA Working Papers 2023-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Zhang, Ning & Gong, Yujing & Xue, Xiaohan, 2023. "Less disagreement, better forecasts: adjusted risk measures in the energy futures market," LSE Research Online Documents on Economics 118451, London School of Economics and Political Science, LSE Library.
• Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
  • Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," Working Papers 2006, Federal Reserve Bank of Dallas.
  • Kilian, Lutz & Zhou, Xiaoqing, 2020. "The Econometrics of Oil Market VAR Models," CEPR Discussion Papers 14460, C.E.P.R. Discussion Papers.
  • Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," CESifo Working Paper Series 8153, CESifo.
• Mehdi Mili & Ahmed Bouteska, 2023. "Forecasting nonlinear dependency between cryptocurrencies and foreign exchange markets using dynamic copula: evidence from GAS models," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 24(4), pages 464-482, May.
• James C. Cox & Vjollca Sadiraj & James M. Walker, 2023. "Power Asymmetry in Repeated Play of Provision and Appropriation Games," Experimental Economics Center Working Paper Series 2022-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023. "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers of the African Governance and Development Institute. 23/002, African Governance and Development Institute..
  • Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023. "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers 23/002, European Xtramile Centre of African Studies (EXCAS).
• Awa Traoré & Simplice A. Asongu, 2023. "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Working Papers 23/054, European Xtramile Centre of African Studies (EXCAS).
• Evzen Kocenda & Shivendra Rai, 2023. "Drivers of Private Equity Activity across Europe: An East-West Comparison," Working Papers IES 2023/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2023.
• Jason Brown & Nida Çakır Melek & Johannes Matschke & Sai Sattiraju, 2023. "The Missing Tail Risk in Option Prices," Research Working Paper RWP 23-02, Federal Reserve Bank of Kansas City.
• Aaron Amburgey & Michael W. McCracken, 2023. "Growth-at-Risk is Investment-at-Risk," Working Papers 2023-020, Federal Reserve Bank of St. Louis.
• Paul Ho & Thomas A. Lubik & Christian Matthes, 2023. "Averaging Impulse Responses Using Prediction Pools," Working Paper 23-04, Federal Reserve Bank of Richmond.
• Kirill D. Shilov & Andrei V. Zubarev, 2023. "Factors of Ethereum Profitability as a Platform for Creating Decentrilized Applications," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 127006, Russia, issue 1, pages 95-115, February.
• John B. Guerard & Dimitrios D. Thomakos & Foteini Kyriazi & Konstantinos Mamais, 2023. "On the Predictability of the DJIA and S&P500 Indices," Working Papers 2023-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
• Virbickaite, Audrone & Nguyen, Hoang & Tran, Minh-Ngoc, 2023. "Bayesian Predictive Distributions of Oil Returns Using Mixed Data Sampling Volatility Models," Working Papers 2023:7, Örebro University, School of Business.
• KANO, Takashi, 2023. "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series HIAS-E-128, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
• Sushil Kumar Rai & Akhilesh Kumar Sharma, 2023. "Forecasting Exchange Rate Volatility In India Under Univariate And Multivariate Analysis," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(1), pages 175-190.
• Saurabh Ghosh & Abhishek Ranjan, 2023. "A Machine Learning Approach To Gdp Nowcasting: An Emerging Market Experience," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(Special I), pages 33-54.
• Bilver Adrian Astorquiza-Bustos & Kevin Bravo Bolaño & Enmanuel Aguirre Bernal, 2023. "Índice de precariedad laboral en Colombia: una construcción teórica y analítica partir de microdatos," 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. 18(1), pages 1-26, Enero - M.

2022

• Yuhan Nie & Jiafu Su, 2022. "Evaluating the Green Innovation Ability of Engineering Teams in a Hesitation Fuzzy Environment," Advances in Decision Sciences, Asia University, Taiwan, vol. 26(Special), pages 53-76, December.
• Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model," Econometrics, MDPI, vol. 10(3), pages 1-41, August.
  • Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model," CREATES Research Papers 2022-01, Department of Economics and Business Economics, Aarhus University.
• Mikkel Bennedsen & Eric Hillebrand & Sebastian Jensen, 2022. "A Neural Network Approach to the Environmental Kuznets Curve," CREATES Research Papers 2022-09, Department of Economics and Business Economics, Aarhus University.
• Sebastian Kranz & Peter Pütz, 2022. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment," American Economic Review, American Economic Association, vol. 112(9), pages 3124-3136, September.
• Abel Brodeur & Nikolai Cook & Anthony Heyes, 2022. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Reply," American Economic Review, American Economic Association, vol. 112(9), pages 3137-3139, September.
• M. T. Verónica Culós & M. Florencia Gabrielli & Marcos Herrera Gómez, 2022. "Market Power in the Argentine Liquid Fuels Wholesale Chain," Working Papers 157, Red Nacional de Investigadores en Economía (RedNIE).
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• Anton A. Gerunov, 2022. "Performance of 109 Machine Learning Algorithms across Five Forecasting Tasks: Employee Behavior Modeling, Online Communication, House Pricing, IT Support and Demand Planning," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 15-43.
• Tsvetomir Tsvetkov & Sonya Georgieva, 2022. "Inflation, Inflation Instability and Nominal Uncertainty in Bulgarian Economy," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 41-64.
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• Luis Antonio Espinosa & Juan José Li Ng, 2022. "México | ¿El confinamiento por COVID-19 redujo la contaminación del aire? [Mexico | Did the COVID-19 lockdown reduce air pollution?]," Working Papers 22/09, BBVA Bank, Economic Research Department.
• James Younker, 2022. "Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models," Discussion Papers 2022-19, Bank of Canada.
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• Giuseppe Cascarino & Mirko Moscatelli & Fabio Parlapiano, 2022. "Explainable Artificial Intelligence: interpreting default forecasting models based on Machine Learning," Questioni di Economia e Finanza (Occasional Papers) 674, Bank of Italy, Economic Research and International Relations Area.
• Emilia Bonaccorsi Di Patti & Filippo Calabresi & Biagio De Varti & Fabrizio Federico & Massimiliano Affinito & Marco Antolini & Francesco Lorizzo & Sabina Marchetti & Ilaria Masiani & Mirko Moscatelli, 2022. "Artificial intelligence in credit scoring. An analysis of some experiences in the Italian financial system," Questioni di Economia e Finanza (Occasional Papers) 721, Bank of Italy, Economic Research and International Relations Area.
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• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2022. "Drivers and spillover effects of inflation: the United States, the euro area, and the United Kingdom," Working Papers 309, Bank of Greece.
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• Henry Penikas, 2022. "Pass-Through of the Bank of Russia Key Rate into Deposit Rates Between 2020 and 2022," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 20-48, June.
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• Damir Filipović & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Swiss Finance Institute Research Paper Series 22-95, Swiss Finance Institute.
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• Saissi Hassani, Samir, 2022. "Précisions importantes sur le backtesting comparatif de la VaR," Working Papers 21-5, HEC Montreal, Canada Research Chair in Risk Management.
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  • Byron Botha & Rulof Burger & Kevin Kotz & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," Working Papers 11022, South African Reserve Bank.
• Zouhaier Dhifaoui, 2022. "Determinism and Non-linear Behaviour of Log-return and Conditional Volatility: Empirical Analysis for 26 Stock Markets," South Asian Journal of Macroeconomics and Public Finance, , vol. 11(1), pages 69-94, June.
• Dejan Živkov & Marina Gajic-Glamoclija & Jasmina Duraskovic & Mirela Momcilovic, 2022. "Assessing Permanent and Transitory Volatility Spillover Effect from Oil to Stocks in Baltic and Visegrad Countries," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(6), pages 523-542, June.
• Alexander Bobkov & Oksana Savchina, 2022. "Verification of the production structure evolution model of industrial enterprises using cluster analysis," Proceedings of Economics and Finance Conferences 13215738, International Institute of Social and Economic Sciences.
• Tomasz P. Kostyra, 2022. "Yield Curve Modelling with the Nelson-Siegel Method for Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 44-56.
• Qiang Ji & Dayong Zhang & Yuqian Zhao, 2022. "Intra-day co-movements of crude oil futures: China and the international benchmarks," Annals of Operations Research, Springer, vol. 313(1), pages 77-103, June.
• Vo Hoang Ha & Takeshi Mizunoya & Nguyen Duc Kien & Truong Quang Dung & Le Thanh An & Nguyen Thai Phan & Nguyen Quang Tan & Pham Thi Trieu Tien & Nguyen Cong Dinh, 2022. "Post-flood recovery in the central coastal plain of Vietnam: determinants and policy implications," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 899-929, October.
• Charl Maree & Christian W. Omlin, 2022. "Reinforcement learning with intrinsic affinity for personalized prosperity management," Digital Finance, Springer, vol. 4(2), pages 241-262, September.
• Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
• Lixiong Yang, 2022. "Threshold mixed data sampling (TMIDAS) regression models with an application to GDP forecast errors," Empirical Economics, Springer, vol. 62(2), pages 533-551, February.
• Khyati Kathuria & Nand Kumar, 2022. "Are exports and imports of India’s trading partners cointegrated? Evidence from Fourier bootstrap ARDL procedure," Empirical Economics, Springer, vol. 62(3), pages 1177-1191, March.
• Julia Kielmann & Hans Manner & Aleksey Min, 2022. "Stock market returns and oil price shocks: A CoVaR analysis based on dynamic vine copula models," Empirical Economics, Springer, vol. 62(4), pages 1543-1574, April.
• Astrid Ayala & Szabolcs Blazsek & Adrian Licht, 2022. "Score-driven stochastic seasonality of the Russian rouble: an application case study for the period of 1999 to 2020," Empirical Economics, Springer, vol. 62(5), pages 2179-2203, May.
• Pål Boug & Ådne Cappelen, 2022. "Did OPEC change its behaviour after the November 2014 meeting?," Empirical Economics, Springer, vol. 62(5), pages 2285-2305, May.
• Manuel González-Astudillo & John M. Roberts, 2022. "When are trend–cycle decompositions of GDP reliable?," Empirical Economics, Springer, vol. 62(5), pages 2417-2460, May.
• Dejan Živkov & Slavica Manić & Ivan Pavkov, 2022. "Nonlinear examination of the ‘Heat Wave’ and ‘Meteor Shower’ effects between spot and futures markets of the precious metals," Empirical Economics, Springer, vol. 63(2), pages 1109-1134, August.
• Alessandra Garbero & Marco Letta, 2022. "Predicting household resilience with machine learning: preliminary cross-country tests," Empirical Economics, Springer, vol. 63(4), pages 2057-2070, October.
• Masato Ubukata, 2022. "A time-varying jump tail risk measure using high-frequency options data," Empirical Economics, Springer, vol. 63(5), pages 2633-2653, November.
• Khurram Shehzad & Umer Zaman & Mahmood Ahmad & Xiaoxing Liu, 2022. "Asymmetric impact of information and communication technologies on environmental quality: analyzing the role of financial development and energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1761-1780, February.
• Jeronymo Marcondes Pinto & Jennifer L. Castle, 2022. "Machine Learning Dynamic Switching Approach to Forecasting in the Presence of Structural Breaks," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 129-157, July.
• Eva O. Arceo-Gomez & Raymundo M. Campos-Vazquez & Raquel Y. Badillo & Sergio Lopez-Araiza, 2022. "Gender stereotypes in job advertisements: What do they imply for the gender salary gap?," Journal of Labor Research, Springer, vol. 43(1), pages 65-102, March.
• Daniel A. Griffith & Yongwan Chun, 2022. "Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-30, December.
• T. P. Sinha, 2022. "A Macro-Econometric VAR Model of India Incorporating Black Income," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 629-660, September.
• Holger Steinmetz & Jörn Block, 2022. "Meta-analytic structural equation modeling (MASEM): new tricks of the trade," Management Review Quarterly, Springer, vol. 72(3), pages 605-626, September.
• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Moment tests of independent components," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 429-474, May.
  • Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021. "Moment tests of independent components," Working Papers wp2021_2102, CEMFI.
• Cheng-Few Lee & Lie-Jane Kao & Po-Cheng Wu, 2022. "Alternative Models for Evaluating Convertible Bond: Review and Integration," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 68, pages 1563-1580, Springer.
• Robert H. Patrick, 2022. "Financial Panel Data Models, Strict Versus Contemporaneous Exogeneity, and Durbin-Wu-Hausman Specification Tests," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 78, pages 1799-1828, Springer.
• Anna D’Ambrosio & Sandro Montresor, 2022. "The pro-export effect of subnational migration networks: new evidence from Spanish provinces," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 53-107, February.
• Sander Barendse & Andrew J. Patton, 2022. "Comparing Predictive Accuracy in the Presence of a Loss Function Shape Parameter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1057-1069, June.
  • Sander Barendse & Andrew J. Patton, 2020. "Comparing Predictive Accuracy in the Presence of a Loss Function Shape Parameter," Economics Series Working Papers 909, University of Oxford, Department of Economics.
• Michael W. McCracken & Joseph T. McGillicuddy & Michael T. Owyang, 2022. "Binary Conditional Forecasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1246-1258, June.
  • Michael W. McCracken & Joseph McGillicuddy & Michael T. Owyang, 2019. "Binary Conditional Forecasts," Working Papers 2019-029, Federal Reserve Bank of St. Louis, revised Apr 2021.
• Lutz Kilian, 2022. "Comment on Giacomini, Kitagawa, and Read’s “Narrative Restrictions and Proxies”," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1429-1433, October.
  • Lutz Kilian, 2021. "Comment on Giacomini, Kitagawa and Read's 'Narrative Restrictions and Proxies'," Working Papers 2117, Federal Reserve Bank of Dallas.
• Alexander Wehrli & Didier Sornette, 2022. "Classification of flash crashes using the Hawkes(p,q) framework," Quantitative Finance, Taylor & Francis Journals, vol. 22(2), pages 213-240, February.
  • Alexander Wehrli & Didier Sornette, 2020. "Classification of flash crashes using the Hawkes(p,q) framework," Swiss Finance Institute Research Paper Series 20-92, Swiss Finance Institute.
• Nguyen, BH & Zhang, Bo, 2022. "Forecasting oil Prices: can large BVARs help?," Working Papers 2022-04, University of Tasmania, Tasmanian School of Business and Economics.
• Roman Frydman & Joshua Stillwagon & Halina Frydman, 2022. "Underreacting to News or Responding to Change? Reexamining Macroeconomic Expectations," Working Papers Series inetwp179, Institute for New Economic Thinking.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted-average least squares (WALS) estimator," EIEF Working Papers Series 2203, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2022.
  • Giuseppe De Luca & Jan Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted average least squares (WALS) estimator," Tinbergen Institute Discussion Papers 22-022/III, Tinbergen Institute.
• Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2022. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 764-779, October.
  • Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-328, Boston University - Department of Economics.
  • Bazzi, Samuel & Blair, Robert & Blattman, Chris & Dube, Oeindrila & Gudgeon, Matthew & Peck, Richard, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," SocArXiv bkrn8, Center for Open Science.
  • Blattman, Christopher & Dube, Oeindrila & Bazzi, Samuel & Gudgeon, Matthew & Peck, Richard & Blair, Robert, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," CEPR Discussion Papers 13829, C.E.P.R. Discussion Papers.
  • Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Merton Peck, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," NBER Working Papers 25980, National Bureau of Economic Research, Inc.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
  • Baumeister, Christiane & Korobilis, Dimitris & Lee, Thomas K., 2020. "Energy Markets and Global Economic Conditions," CEPR Discussion Papers 14580, C.E.P.R. Discussion Papers.
  • Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," CESifo Working Paper Series 8282, CESifo.
• Beatriz de la Flor & Javier Ojea-Ferreiro & Eva Ferreira, 2022. "The Hedging Cost of Forgetting the Exchange Rate," Documentos de Trabajo del ICAE 2022-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
• Joshua D. Angrist & Brigham Frandsen, 2022. "Machine Labor," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 97-140.
  • Joshua Angrist & Brigham Frandsen, 2019. "Machine Labor," NBER Working Papers 26584, National Bureau of Economic Research, Inc.
• Ruoyao Shi, 2022. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202201, University of California at Riverside, Department of Economics.
• Ruoyao Shi, 2022. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202211, University of California at Riverside, Department of Economics.
• Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
• Justin Dang & Aman Ullah, 2022. "Generalized Kernel Regularized Least Squares Estimator with Parametric Error Covariance," Working Papers 202303, University of California at Riverside, Department of Economics, revised Mar 2023.
• Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023. "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
  • Timothy Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2022. "Bootstrap Inference Under Cross Sectional Dependence," Working papers 2022-14, University of Connecticut, Department of Economics.
• 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.
• Tran, Thuy Nhung, 2022. "The Volatility of the Stock Market and Financial Cycle: GARCH Family Models," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 151-168.
• Tsutomu Watanabe & Tomoyoshi Yabu, 2022. "The Demand for Money at the Zero Interest Rate Bound," Working Papers on Central Bank Communication 044, University of Tokyo, Graduate School of Economics.
• Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
  • Nail Kashaev & Victor H. Aguiar, 2021. "A Random Attention and Utility Model," Papers 2105.11268, arXiv.org, revised May 2022.
  • Nail Kashaev & Victor H. Aguiar, 2022. "A Random Attention and Utility Model," University of Western Ontario, Departmental Research Report Series 20223, University of Western Ontario, Department of Economics.
• Victor H. Aguiar & Roberto Serrano, 2022. "Slutsky Matrix Symmetry: A New Behavioral Condition," University of Western Ontario, Departmental Research Report Series 20228, University of Western Ontario, Department of Economics.
• Toleva Borislava, 2022. "ANOVA bootstrapped principal components analysis for logistic regression," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 8(1), pages 18-31, June.
• Sroka Łukasz, 2022. "Applying Block Bootstrap Methods in Silver Prices Forecasting," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 26(2), pages 15-29, June.
• Mešić Amar & Miškić Smiljka & Stević Željko & Mastilo Zoran, 2022. "Hybrid MCDM Solutions for Evaluation of the Logistics Performance Index of the Western Balkan Countries," Economics, Sciendo, vol. 10(1), pages 13-34, June.
• Wołowiec Tomasz & Pavlov Kostiantyn & Pavlova Olena & Zaichuk Kateryna, 2022. "Tourist Services of the Western Region of Ukraine: Rating and Analysis," Economics, Sciendo, vol. 10(1), pages 181-195, June.
• Trajkov Aleksandar & Andreeski Cvetko & Biljan Jovanka, 2022. "Measuring the Impact of the Coviid-19 Crisis on the Foreign Tourist Receipts," Economic Themes, Sciendo, vol. 60(1), pages 1-19, March.
• Berezka Kateryna M. & Kovalchuk Olha Ya. & Banakh Serhiy V. & Zlyvko Stanislav V. & Hrechaniuk Roksolana, 2022. "A Binary Logistic Regression Model for Support Decision Making in Criminal Justice," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 1-17, June.
• Sakouvogui Kekoura & Guilavogui Mama Genevieve, 2022. "How are the United States Banks faring during the COVID-19 Pandemic? Evidence of Economic Efficiency Measures," Open Economics, De Gruyter, vol. 5(1), pages 11-29, January.
• 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.
• Rena Ravinder & Kamuinjo Albert V., 2022. "An Empirical Analysis of the Relationship Between Capital, Market Risks, and Liquidity Shocks in the Banking Industry," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 67(2), pages 67-83, August.
• 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.
• Shon M. Ferguson & Aaron Smith, 2022. "Import demand elasticities based on quantity data: Theory and evidence," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(2), pages 1027-1056, May.
  • Ferguson, Shon & Smith, Aaron, 2019. "Import Demand Elasticities Based on Quantity Data: Theory and Evidence," Working Paper Series 1296, Research Institute of Industrial Economics, revised 30 Jun 2021.
• Xu Cheng & Winston Wei Dou & Zhipeng Liao, 2022. "Macro‐Finance Decoupling: Robust Evaluations of Macro Asset Pricing Models," Econometrica, Econometric Society, vol. 90(2), pages 685-713, March.
  • Xu Cheng & Winston Wei Dou & Zhipeng Liao, 2020. "Macro-Finance Decoupling: Robust Evaluations of Macro Asset Pricing Models," PIER Working Paper Archive 20-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2022. "The role of investor sentiment in forecasting housing returns in China: A machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1725-1740, December.
  • Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2020. "The Role of Investor Sentiment in Forecasting Housing Returns in China: A Machine Learning Approach," Working Papers 202055, University of Pretoria, Department of Economics.
• Joshua C. C. Chan, 2022. "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, vol. 13(3), pages 1145-1169, July.
  • Joshua C. C. Chan, 2019. "Asymmetric conjugate priors for large Bayesian VARs," CAMA Working Papers 2019-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Joshua C. C. Chan, 2021. "Asymmetric Conjugate Priors for Large Bayesian VARs," Papers 2111.07170, arXiv.org.
• Alexander Glas & Matthias Hartmann, 2022. "Uncertainty measures from partially rounded probabilistic forecast surveys," Quantitative Economics, Econometric Society, vol. 13(3), pages 979-1022, July.
  • Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
• Jinshun Wu & Taps Maiti, 2022. "A Frequency-Domain Analysis Of Medium-Scale Dsge Models," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 67(06), pages 1951-1986, December.
• 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.
• Malte Knuppel & Fabian Kruger & Marc-Oliver Pohle, 2022. "Score-based calibration testing for multivariate forecast distributions," Papers 2211.16362, arXiv.org, revised May 2023.
  • Knüppel, Malte & Krüger, Fabian & Pohle, Marc-Oliver, 2022. "Score-based calibration testing for multivariate forecast distributions," Discussion Papers 50/2022, Deutsche Bundesbank.
• Matteo Picchio & Michele Ubaldi, 2022. "Unemployment And Health: A Meta-Analysis," Working Papers 467, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Picchio, Matteo & Ubaldi, Michele, 2022. "Unemployment and Health: A Meta-Analysis," GLO Discussion Paper Series 1128, Global Labor Organization (GLO).
  • Picchio, Matteo & Ubaldi, Michele, 2022. "Unemployment and Health: A Meta-Analysis," IZA Discussion Papers 15433, Institute of Labor Economics (IZA).
• Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022. "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers 964, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Gantert, Konstantin, 2022. "The Impact of Active Aggregate Demand on Utilization-Adjusted TFP," VfS Annual Conference 2022 (Basel): Big Data in Economics 264103, Verein für Socialpolitik / German Economic Association.
• Wan, Wayne Xinwei & Lindenthal, Thies, 2022. "Towards accountability in machine learning applications: A system-testing approach," ZEW Discussion Papers 22-001, ZEW - Leibniz Centre for European Economic Research.

2021

• Bastos, João A. & Matos, Sara M., 2022. "Explainable models of credit losses," European Journal of Operational Research, Elsevier, vol. 301(1), pages 386-394.
  • João A. Bastos & Sara M. Matos, 2021. "Explainable models of credit losses," Working Papers REM 2021/0161, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Granguillhome Ochoa, Rogelio & Lach, Samantha & Masaki, Takaaki & Rodríguez-Castelán, Carlos, 2022. "Mobile internet adoption in West Africa," Technology in Society, Elsevier, vol. 68(C).
  • Rodriguez Castelan,Carlos & Granguillhome Ochoa,Rogelio & Lach,Samantha & Masaki,Takaaki, 2021. "Mobile Internet Adoption in West Africa," Policy Research Working Paper Series 9560, The World Bank.
  • Rodriguez Castelan, Carlos & Ochoa, Rogelio Granguillhome & Lach, Samantha & Masaki, Takaaki, 2021. "Mobile Internet Adoption in West Africa," IZA Discussion Papers 14151, Institute of Labor Economics (IZA).
• Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).
• Zamira Oskonbaeva, 2021. "Main drivers of tobacco consumption among adolescents- the case of Kyrgyzstan," Journal of Applied Microeconometrics, Holistence Publications, vol. 1(1), pages 29-39, June.
• Vibhuti Vasishth & Sanjay Sehgal & Gagan Sharma, 2021. "Size Effect in Indian Equity Market: Myth or Reality?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 101-119, March.
• Robert Donnelly & Francisco J.R. Ruiz & David Blei & Susan Athey, 2021. "Counterfactual inference for consumer choice across many product categories," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 369-407, December.
  • Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
• 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.
• Cem Cakmakli & Verda Ozturk, 2021. "Economic Value of Modeling the Joint Distribution of Returns and Volatility: Leverage Timing," Koç University-TUSIAD Economic Research Forum Working Papers 2110, Koc University-TUSIAD Economic Research Forum.
• Florian Eckert & Nina Mühlebach, 2021. "Global and Local Components of Output Gaps," KOF Working papers 21-497, KOF Swiss Economic Institute, ETH Zurich.
• Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021. "Deep Structural Estimation:With an Application to Option Pricing," Cahiers de Recherches Economiques du Département d'économie 21.14, Université de Lausanne, Faculté des HEC, Département d’économie.
• Schlicht, Ekkehart, 2021. "VCC - A Program for Estimating Time-Varying Coefficients. Console Version With Source Code in C," Discussion Papers in Economics 75514, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2005. "VCC - A Program for Estimating Time-Varying Coefficients. Console Version With Source Code in C," Software in Economics 719, University of Munich, Department of Economics.
• Schlicht, Ekkehart, 2021. "VC - A Program for Estimating Time-Varying Coefficients," Discussion Papers in Economics 74981, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2022. "VC - A Program for Estimating Time-Varying Coefficients," Discussion Papers in Economics 92509, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2022. "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics 92509, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2021. "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics 74981, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2005. "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics 684, University of Munich, Department of Economics.
• Schlicht, Ekkehart, 2021. "VC - A Program for Estimating Time-Varying Coefficients," Discussion Papers in Economics 74981, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2022. "VC - A Program for Estimating Time-Varying Coefficients," Discussion Papers in Economics 92509, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2022. "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics 92509, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2021. "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics 74981, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2005. "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics 684, University of Munich, Department of Economics.
• Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
• Don Bredin & Stilianos Fountas & Christos Savva, 2021. "Is British output growth related to its uncertainty? Evidence using eight centuries of data," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 345-364, July.
  • Don Bredin & Stilianos Fountas & Christos Savva, 2021. "Is British Output Growth Related to its Uncertainty? Evidence using Eight Centuries of Data," Discussion Paper Series 2021_02, Department of Economics, University of Macedonia, revised Feb 2021.
• Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," "Marco Fanno" Working Papers 0257, Dipartimento di Scienze Economiche "Marco Fanno".
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2021. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Monash Economics Working Papers 2021-08, Monash University, Department of Economics.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," CESifo Working Paper Series 8438, CESifo.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Working Papers wp1151, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Angelini, Giovanni & Caggiano, Giovanni & Castelnuovo, Efrem & Fanelli, Luca, 2020. "Are fiscal multipliers estimated with proxy-SVARs robust?," Bank of Finland Research Discussion Papers 13/2020, Bank of Finland.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are fiscal multipliers estimated with proxy-SVARs robust?," CAMA Working Papers 2020-69, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• François Gardes, 2021. "Sur l'anthropologie économique de Bourdieu et la sociologie de la consommation de Simon Langlois," Documents de travail du Centre d'Economie de la Sorbonne 21021, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Matthew Backus & Christopher Conlon & Michael Sinkinson, 2021. "Common Ownership and Competition in the Ready-to-Eat Cereal Industry," NBER Working Papers 28350, National Bureau of Economic Research, Inc.
• Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
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• Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro, 2021. "Visualization, Identification, and stimation in the Linear Panel Event-Study Design," Working Papers 21-44, Federal Reserve Bank of Philadelphia.
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• Baumeister, Christiane, 2021. "Measuring Market Expectations," CEPR Discussion Papers 16520, C.E.P.R. Discussion Papers.
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• Charles W. Calomiris & Nida Çakır Melek & Harry Mamaysky, 2021. "Predicting the Oil Market," NBER Working Papers 29379, National Bureau of Economic Research, Inc.
• Bhattacharya, Rudrani & Bhandari, Bornali & Mundle, Sudipto, 2021. "Nowcasting India's Quarterly GDP Growth: A Factor Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Working Papers 21/357, National Institute of Public Finance and Policy.
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• Bhattacharya, Rudrani & Bhandari, Bornali & Mundle, Sudipto, 2021. "Nowcasting India's Quarterly GDP Growth: A Factor Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Working Papers 21/357, National Institute of Public Finance and Policy.
• Iva Raycheva, 2021. "Child Poverty among European Countries and Bulgaria’s Place among Them. Statistical Analysis of Convergence," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 37-51, September.
• Katarina Juselius, 2021. "Disequilibrium macroeconometrics [The financial crisis and the systemic failure of the academics profession]," Industrial and Corporate Change, Oxford University Press, vol. 30(2), pages 357-376.
• Cristiano Cantore & Filippo Ferroni & Miguel León-Ledesma, 2021. "The Missing Link: Monetary Policy and The Labor Share," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1592-1620.
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• Yacine Aït-Sahalia & Chenxu Li & Chen Xu Li & Ralph Koijen, 2021. "Implied Stochastic Volatility Models," Review of Economic Studies, Oxford University Press, vol. 34(1), pages 394-450.
• Irina Zviadadze, 2021. "Term Structure of Risk in Expected Returns [Stock returns and volatility: Pricing the short-run and long-run components of market risk]," Review of Financial Studies, Society for Financial Studies, vol. 34(12), pages 6032-6086.
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• Solano Sánchez, Miguel Ángel & Núñez Tabales, Julia M. & Caridad y Ocerin, José M., 2021. "Un modelo hedónico para los alquileres turísticos en la ciudad de Sevilla. || A hedonic model for the vacation rentals in the city of Seville," 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. 31(1), pages 144-160, June.
• Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2021. "Machine Learning and Credit Risk: Empirical Evidence from SMEs," DEM Working Papers Series 201, University of Pavia, Department of Economics and Management.
• Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021. "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series 205, University of Pavia, Department of Economics and Management.
• 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.
• Fernando A. López Hernández & Román Mínguez Salidos, 2021. "The Scan-LM to Test Instability in the Constant Coefficient ofSpatial Autoregressive Models," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 44(87), pages 74-88.
• 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.
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• Sebastian Letmathe & Yuanhua Feng & André Uhde, 2021. "Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall," Working Papers CIE 141, Paderborn University, CIE Center for International Economics.
• Krisztina Kistoth, 2021. "Measuring and analysing the financial performance of state-owned economic entities," Public Finance Quarterly, State Audit Office of Hungary, vol. 66(6), pages 31-51.
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• 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.
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• Subramaniam, Viswanatha, 2021. "Developmment aceleration - a practical methodology," MPRA Paper 107606, University Library of Munich, Germany.
• Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021. "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper 107828, University Library of Munich, Germany.
• Ofori, Isaac Kwesi, 2021. "Catching The Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," EconStor Preprints 235482, ZBW - Leibniz Information Centre for Economics.
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  • Simplice A. Asongu & Joseph Nnanna, 2021. "Globalization, Governance and the Green Economy in Sub-Saharan Africa: Policy Thresholds," Working Papers of the African Governance and Development Institute. 21/015, African Governance and Development Institute..
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• Simplice A. Asongu & Tii N. Nchofoung, 2021. "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," Research Africa Network Working Papers 21/016, Research Africa Network (RAN).
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  • Simplice A. Asongu & Tii N. Nchofoung, 2021. "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," Working Papers of the African Governance and Development Institute. 21/016, African Governance and Development Institute..
  • Simplice A. Asongu & Tii N. Nchofoung, 2021. "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," Working Papers 21/016, European Xtramile Centre of African Studies (EXCAS).
• Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
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• Simplice Asongu & Rexon Nting, 2021. "The mobile phone in governance for environmental sustainability in Sub-Saharan Africa," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 39(1), pages 225-243, June.
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• Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
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• Kombarov, Sayan, 2021. "Action in Economics: Mathematical Derivation of Laws of Economics from the Principle of Least Action in Physics," MPRA Paper 112474, University Library of Munich, Germany.
• Afees A. Salisu & Umar Bida Ndako & Rangan Gupta, 2021. "Forecasting US Output Growth with Large Information Sets," Working Papers 202103, University of Pretoria, Department of Economics.
• Baumeister, Christiane, 2021. "Measuring Market Expectations," CEPR Discussion Papers 16520, C.E.P.R. Discussion Papers.
  • Christiane Baumeister, 2021. "Measuring Market Expectations," Working Papers 202163, University of Pretoria, Department of Economics.
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  • Christiane Baumeister, 2021. "Measuring Market Expectations," NBER Working Papers 29232, National Bureau of Economic Research, Inc.
• Maryam Movahedifar & Hossein Hassani & Masoud Yarmohammadi & Mahdi Kalantari & Rangan Gupta, 2021. "A robust approach for outlier imputation: Singular Spectrum Decomposition," Working Papers 202164, University of Pretoria, Department of Economics.
• Matthew D. Cocci & Mikkel Plagborg-Møller, 2021. "Standard Errors for Calibrated Parameters," Working Papers 2021-20, Princeton University. Economics Department..
• Nikolay Iskrev, 2021. "Spectral decomposition of the information about latent variables in dynamic macroeconomic models," Working Papers w202105, Banco de Portugal, Economics and Research Department.
• Bhumjai Tangsawasdirat & Suranan Tanpoonkiat & Burasakorn Tangsatchanan, 2021. "Credit Risk Database: Credit Scoring Models for Thai SMEs," PIER Discussion Papers 168, Puey Ungphakorn Institute for Economic Research.
• N'Golo Kone, 2021. "Efficient mean-variance portfolio selection by double regularization," Working Paper 1453, Economics Department, Queen's University.
• Gomez-Gonzalez, Jose Eduardo & Gualtero-Briceño, Daniela & Melo-Velandia, Luis Fernando, 2021. "Estimating the Value at Risk of a bank’s portfolio in sovereign bonds using a DCC-Copula model," Working papers 75, Red Investigadores de Economía.
• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021. "Multivariate Hermite polynomials and information matrix tests," Econometrics Working Papers Archive 2021_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  • Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021. "Multivariate Hermite polynomials and information matrix tests," Working Paper series 21-12, Rimini Centre for Economic Analysis.
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• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Tests for Random Coefficient Variation in Vector Autoregressive Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 1-35, Emerald Group Publishing Limited.
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• OJAGHLOU , Mortaza & SATVATİ, Rozita, 2021. "An Analysis of the Relationship between Inflation and Gold Prices: Evidence from Turkey," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 6(2), pages 79-89, December.
• Saissi Hassani, Samir & Dionne, Georges, 2021. "The New International Regulation of Market Risk: Roles of VaR and CVaR in Model Validation," Working Papers 21-1, HEC Montreal, Canada Research Chair in Risk Management.
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• Saissi Hassani, Samir & Dionne, Georges, 2021. "The new international regulation of market risk: Roles of VaR and CVaR in model validation," Working Papers 20-3, HEC Montreal, Canada Research Chair in Risk Management.
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• Oluseye Ibukun, Cleopatra & Temilola Osinubi, Tolulope & Nathaniel Oladunjoye, Opeyemi, 2021. "Growth-Led Energy Hypothesis In Nigeria: An Asymmetric Investigation," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(1), pages 31-45, June.
• Emilian DOBRESCU, 2021. "Potential Output: A Market Conditionalities Interpretation," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-38, December.
• Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," BEMPS - Bozen Economics & Management Paper Series BEMPS88, Faculty of Economics and Management at the Free University of Bozen.
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  • Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," CIRANO Working Papers 2021s-33, CIRANO.
• Proietti, Tommaso & Pedregal, Diego J., 2023. "Seasonality in High Frequency Time Series," Econometrics and Statistics, Elsevier, vol. 27(C), pages 62-82.
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• De Vos, Ignace & Everaert, Gerdie & Sarafidis, Vasilis, 2021. "A method for evaluating the rank condition for CCE estimators," MPRA Paper 112305, University Library of Munich, Germany, revised 09 Mar 2022.
  • Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
• Don Bredin & Stilianos Fountas, 2021. "Inflation, Inflation Uncertainty, and Markov Regime Switching Heteroskedasticity: Evidence from European Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 19(2), pages 181-200.
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• Campuzano, Cristian Miguel & Cabello, Alejandra, 2021. "Superficie de volatilidad de la Bolsa Mexicana de Valores: Evaluación con el Modelo de Merton / Mexico´s Stock Market volatility surface: Evaluation with Merton’s model," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 11(1), pages 5-31, enero-jun.
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• Christos Agiakloglou & Apostolos Tsimpanos, 2021. "Evaluating information criteria for selecting spatial processes," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 677-697, June.
• Hoang Ha Vo & Takeshi Mizunoya & Cong Dinh Nguyen, 2021. "Determinants of farmers’ adaptation decisions to climate change in the central coastal region of Vietnam," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 327-349, June.
• Kenshiro Ninomiya & Masaaki Tokuda, 2021. "Structural change and financial instability in the US economy," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 205-226, April.
• Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
• Esfandiar Maasoumi & Almas Heshmati & Inhee Lee, 2021. "Green innovations and patenting renewable energy technologies," Empirical Economics, Springer, vol. 60(1), pages 513-538, January.
• Siwen Zhou, 2021. "Exploring the driving forces of the Bitcoin currency exchange rate dynamics: an EGARCH approach," Empirical Economics, Springer, vol. 60(2), pages 557-606, February.
• Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
• Laura Casula & Giovanni Masala, 2021. "Electricity derivatives: an application to the futures Italian market," Empirical Economics, Springer, vol. 61(2), pages 637-666, August.
• Yan Qian & Zijun Wang, 2021. "A model selection approach to jointly testing for structural breaks and cointegration with application to the Eurocurrency interest rates market," Empirical Economics, Springer, vol. 61(2), pages 799-825, August.
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• Takashi Oga, 2021. "Intertemporal Cointegration Model: A New Approach to the Lead–Lag Relationship Between Cointegrated Time Series," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 27-53, April.
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• Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2021. "Local mortality estimates during the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1189-1217, October.
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• Ali Habibnia & Esfandiar Maasoumi, 2021. "Forecasting in Big Data Environments: An Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 363-381, December.
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• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
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• Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
• Nadiia Shapovalenko, 2021. "A Suite of Models for CPI Forecasting," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 252, pages 4-36.
• Francis Bismans, 2021. "Une analyse économétrique des déterminants des hospitalisations dues à la Covid-19," Working Papers of BETA 2021-42, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
• Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s voluntary lockdown: further evidence based on age-specific mobile location data," The Japanese Economic Review, Springer, vol. 72(3), pages 333-370, July.
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• Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s voluntary lockdown: further evidence based on age-specific mobile location data," The Japanese Economic Review, Springer, vol. 72(3), pages 333-370, July.
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• Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating Forecast Performance with State Dependence," Working Papers 1295, Barcelona School of Economics.
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• Jaume Garcia Villar & María José Suárez, 2021. "The relevance of the specification assumptions when modelling the correlates of physical activity: an analysis across dimensions," Economics Working Papers 1804, Department of Economics and Business, Universitat Pompeu Fabra.
• Giuseppe Arbia, 2021. "Stochastic Epidemic Modeling with Application to the Sars-Cov-2 Pandemic in Italy," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 129(1), pages 21-36.
• Kosta Josifidis & Radmila Dragutinović Mitrović & Slađana Bodor, 2021. "The Effect of Fiscal Deficit on the External Imbalances in the European Union," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 68(5), pages 625-652, December.
• Jitender, 2021. "Value-at-Risk Estimation of Equity Market Risk in India," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 9(1), pages 1-24, September.
• Kimouche Bilal, 2021. "The Effect of Stock Market Listing on Real Earnings Management: Evidence From Algerian Companies," Naše gospodarstvo/Our economy, Sciendo, vol. 67(4), pages 96-107, December.
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• Szymon Lis & Marcin Chlebus, 2021. "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers 2021-11, Faculty of Economic Sciences, University of Warsaw.
• Michał Lewandowski & Marcin Chlebus, 2021. "Predicting football outcomes from Spanish league using machine learning models," Working Papers 2021-22, Faculty of Economic Sciences, University of Warsaw.
• Aleksander Schiffers & Marcin Chlebus, 2021. "The effectiveness of Value-at-Risk models in various volatility regimes," Working Papers 2021-28, Faculty of Economic Sciences, University of Warsaw.
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• Vadim Kufenko & Klaus Prettner, 2021. "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Papers wuwp316, Vienna University of Economics and Business, Department of Economics.
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• Vrigazova, Borislava, 2021. "Novel Approach to Choosing Principal Components Number in Logistic Regression," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2021), Hybrid Conference, Zagreb, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Zagreb, Croatia, 9-10 September 2021, pages 1-12, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
• Ofori, Isaac K. & Quaidoo, Christopher & Ofori, Pamela E., 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics.
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• Isaac K. Ofori, 2021. "Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," Working Papers of the African Governance and Development Institute. 21/044, African Governance and Development Institute..
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• Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Hartl, Tobias, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242380, Verein für Socialpolitik / German Economic Association.
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• Simplice A. Asongu & Joseph Nnanna, 2021. "Globalization, Governance and the Green Economy in Sub-Saharan Africa: Policy Thresholds," Working Papers 21/015, European Xtramile Centre of African Studies (EXCAS).
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• Asongu, Simplice & Nchofoung, Tii, 2021. "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," MPRA Paper 110130, University Library of Munich, Germany.
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  • Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers 21/074, European Xtramile Centre of African Studies (EXCAS).
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• Simplice Asongu & Rexon Nting, 2021. "The mobile phone in governance for environmental sustainability in Sub-Saharan Africa," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 39(1), pages 225-243, June.
  • Simplice A. Asongu & Rexon T. Nting, 2021. "The Mobile Phone in Governance for Environmental Sustainability in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 21/035, African Governance and Development Institute..
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• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021. "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, vol. 14(11), pages 1, October.
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• Diego Chicana & Rafael Nivin, 2021. "Evaluating Growth-at-Risk as a tool for monitoring macro-financial risks in the Peruvian economy," IHEID Working Papers 07-2021, Economics Section, The Graduate Institute of International Studies.
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• Julia Kielmann & Hans Manner & Aleksey Min, 2021. "Stock Market Returns and Oil Price Shocks: A CoVaR Analysis based on Dynamic Vine Copula Models," Graz Economics Papers 2021-01, University of Graz, Department of Economics.
• Hans Manner & Gabriel Rodriguez & Florian Stöckler, 2021. "A changepoint analysis of exchange rate and commodity price risks for Latin American stock markets," Graz Economics Papers 2021-14, University of Graz, Department of Economics.
• Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," Working Papers 2021-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
• David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Econometrics, MDPI, vol. 9(4), pages 1, December.
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• Pushpa Dissanayake & Teresa Flock & Johanna Meier & Philipp Sibbertsen, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Mathematics, MDPI, vol. 9(21), pages 1, November.
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• Bárbara Ruth Trejo Becerril & Alberto Gallegos David, 2021. "Estimación del Riesgo de Mercado utilizando el VaR y la Beta del CAPM," 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(2), pages 1-26, Abril - J.
• Bárbara Ruth Trejo Becerril & Alberto Gallegos David, 2021. "Estimación del Riesgo de Mercado utilizando el VaR y la Beta del CAPM," 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(2), pages 1-26, Abril - J.
• Denisa Banulescu-Radu & Christophe Hurlin & Jérémy Leymarie & Olivier Scaillet, 2021. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Management Science, INFORMS, vol. 67(9), pages 5730-5754, September.
  • Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & O. Scaillet, 2019. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Swiss Finance Institute Research Paper Series 19-48, Swiss Finance Institute.
  • Denisa Banulescu-Radu & Christophe Hurlin & Jérémy Leymarie & Olivier Scaillet, 2021. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Post-Print hal-03526444, HAL.
  • Banulescu-Radu, Denisa & Hurlin, Christophe & Leymarie, Jeremy & Scaillet, Olivier, 2020. "Backtesting marginal expected shortfalland related systemic risk measures," Working Papers unige:134136, University of Geneva, Geneva School of Economics and Management.
  • Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & Olivier Scaillet, 2020. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Working Papers halshs-03088668, HAL.

2020

• Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
  • Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Domenico Sartore, 2018. "A scoring rule for factor and autoregressive models under misspecification," Working Papers 2018:18, Department of Economics, University of Venice "Ca' Foscari".
• Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
• Mikkel Bennedsen & Eric Hillebrand & Siem Jan Koopman, 2020. "A statistical model of the global carbon budget," CREATES Research Papers 2020-18, Department of Economics and Business Economics, Aarhus University.
• Eric Hillebrand & Jakob Mikkelsen & Lars Spreng & Giovanni Urga, 2020. "Exchange Rates and Macroeconomic Fundamentals: Evidence of Instabilities from Time-Varying Factor Loadings," CREATES Research Papers 2020-19, Department of Economics and Business Economics, Aarhus University.
• Asongu, Simplice A. & Le Roux, Sara & Singh, Pritam, 2021. "Fighting terrorism in Africa: Complementarity between inclusive development, military expenditure and political stability," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 897-922.
  • Asongu, Simplice & Le Roux, Sara & Singh, Pritam, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," MPRA Paper 103138, University Library of Munich, Germany.
  • Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Research Africa Network Working Papers 20/004, Research Africa Network (RAN).
  • Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Working Papers of the African Governance and Development Institute. 20/004, African Governance and Development Institute..
  • Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Working Papers 20/004, European Xtramile Centre of African Studies (EXCAS).
• Asongu, Simplice & Odhiambo, Nicholas, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," MPRA Paper 103143, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Research Africa Network Working Papers 20/015, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Working Papers 20/015, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2020. "The role of globalization in modulating the effect of enviromental degradation on inclusive human development," Working Papers 26636, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Working Papers of the African Governance and Development Institute. 20/015, African Governance and Development Institute..
• Asongu, Simplice & Odhiambo, Nicholas, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," MPRA Paper 107494, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Research Africa Network Working Papers 20/072, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 20/072, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers 20/072, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers 26732, University of South Africa, Department of Economics.
• Abel Brodeur & Nikolai Cook & Anthony Heyes, 2020. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics," American Economic Review, American Economic Association, vol. 110(11), pages 3634-3660, November.
• 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.
• Mhamed-Ali El-Aroui & Wafa Snoussi, 2020. "Value-at-Risk in Frontier Markets: Adapted Models and Evidences from Two North-African Stock Exchanges," The African Finance Journal, Africagrowth Institute, vol. 22(1), pages 1-20.
• Asongu, Simplice A. & Le Roux, Sara & Singh, Pritam, 2021. "Fighting terrorism in Africa: Complementarity between inclusive development, military expenditure and political stability," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 897-922.
  • Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Working Papers 20/004, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Working Papers of the African Governance and Development Institute. 20/004, African Governance and Development Institute..
  • Asongu, Simplice & Le Roux, Sara & Singh, Pritam, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," MPRA Paper 103138, University Library of Munich, Germany.
  • Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020. "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Research Africa Network Working Papers 20/004, Research Africa Network (RAN).
• Asongu, Simplice & Odhiambo, Nicholas, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," MPRA Paper 103143, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Working Papers of the African Governance and Development Institute. 20/015, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Working Papers 20/015, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2020. "The role of globalization in modulating the effect of enviromental degradation on inclusive human development," Working Papers 26636, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Research Africa Network Working Papers 20/015, Research Africa Network (RAN).
• Asongu, Simplice A & Odhiambo, Nicholas M, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers 26732, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 20/072, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Research Africa Network Working Papers 20/072, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers 20/072, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice & Odhiambo, Nicholas, 2020. "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," MPRA Paper 107494, University Library of Munich, Germany.
• Tao Hong & Pierre Pinson & Yi Wang & Rafal Weron & Dazhi Yang & Hamidreza Zareipour, 2020. "Energy forecasting: A review and outlook," WORking papers in Management Science (WORMS) WORMS/20/08, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
• Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore & Wing-Keung Wong, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
  • Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore & Wing-Keung Wong, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," International Association of Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
  • Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Domenico Sartore, 2018. "A scoring rule for factor and autoregressive models under misspecification," Working Papers 2018:18, Department of Economics, University of Venice "Ca' Foscari".
• Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2021. "Local mortality estimates during the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1189-1217, October.
  • Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020. "Local mortality estimates during the COVID-19 pandemic in Italy," Working Papers 14/20, Sapienza University of Rome, DISS.
  • Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020. "Local mortality estimates during the COVID-19 pandemic in Italy," Discussion Paper series in Regional Science & Economic Geography 2020-06, Gran Sasso Science Institute, Social Sciences, revised Oct 2020.
• Lodewikus Jacobus Basson & Gary van Vuuren, 2020. "Exploring Hedging Strategies Identified by Fractal Dimensions," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67(1), pages 1-13, March.
• Candelon, Bertrand & Luisi, Angelo, 2020. "Testing for the Validity of W in GVAR models," LIDAM Discussion Papers LFIN 2020009, Université catholique de Louvain, Louvain Finance (LFIN).
• Hakan Eryüzlü & Sertaç Hopoğlu, 2020. "A Comparison of Economic Expectations In Germany and Turkey: An Analysis of ZEW and Economic Trust Index Sentiment Indicators," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(1), pages 131-142, June.
• Gregory Howard & John C. Whitehead & Jacob Hochard, 2020. "Estimating Discount Rates Using Referendum-style Choice Experiments: An Analysis of Multiple Methods," Working Papers 20-01, Department of Economics, Appalachian State University.
• 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.
• Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet, 2023. "Saddlepoint Approximations for Spatial Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(542), pages 1164-1175, April.
  • Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & O. Scaillet, 2019. "Saddlepoint Approximations for Spatial Panel Data Models," Swiss Finance Institute Research Paper Series 19-18, Swiss Finance Institute, revised Mar 2019.
  • Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet, 2020. "Saddlepoint approximations for spatial panel data models," Papers 2001.10377, arXiv.org, revised Jul 2021.
• Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
  • Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
  • Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
• Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
  • Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Papers 2019_07, Business School - Economics, University of Glasgow.
  • Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
  • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
• Thomas H. Jørgensen, 2023. "Sensitivity to Calibrated Parameters," The Review of Economics and Statistics, MIT Press, vol. 105(2), pages 474-481, March.
  • Thomas Jorgensen, 2020. "Sensitivity to Calibrated Parameters," CeMMAP working papers CWP16/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Thomas H. J{o}rgensen, 2020. "Sensitivity to Calibrated Parameters," Papers 2004.12100, arXiv.org, revised Mar 2021.
  • Thomas H. Jørgensen, 2021. "Sensitivity to Calibrated Parameters," CEBI working paper series 20-14, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
• Philipp F. M. Baumann & Enzo Rossi & Alexander Volkmann, 2020. "What Drives Inflation and How: Evidence from Additive Mixed Models Selected by cAIC," Papers 2006.06274, arXiv.org, revised Aug 2022.
  • Philipp F. M. Baumann & Enzo Rossi & Alexander Volkmann, 2021. "What drives inflation and how? Evidence from additive mixed models selected by cAIC," Working Papers 2021-12, Swiss National Bank.
• Lee, Sokbae & Liao, Yuan & Seo, Myung Hwan & Shin, Youngki, 2021. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," Journal of Econometrics, Elsevier, vol. 220(1), pages 158-180.
  • Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Department of Economics Working Papers 2020-06, McMaster University.
  • Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Papers 2006.10555, arXiv.org, revised Jul 2020.
  • Sokbae (Simon) Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," CeMMAP working papers CWP32/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Working Paper Series no136, Institute of Economic Research, Seoul National University.
• Dimitriadis, Timo & Liu, Xiaochun & Schnaitmann, Julie, 2020. "Encompassing tests for value at risk and expected shortfall multi-step forecasts based on inference on the boundary," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  • Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
• Ai Jun Hou & Weining Wang & Cathy Y H Chen & Wolfgang Karl Härdle, 2020. "Pricing Cryptocurrency Options," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(2), pages 250-279.
  • Ai Jun Hou & Weining Wang & Cathy Y. H. Chen & Wolfgang Karl Hardle, 2020. "Pricing Cryptocurrency Options," Papers 2009.11007, arXiv.org.
• Valente, Marica, 2023. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
  • Marica Valente, 2020. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Papers 2010.01105, arXiv.org, revised Nov 2022.
  • Marica Valente, 2021. "Policy Evaluation of Waste Pricing Programs Using Heterogeneous Causal Effect Estimation," Discussion Papers of DIW Berlin 1980, DIW Berlin, German Institute for Economic Research.
• Ricardo Crisóstomo, 2021. "Estimating real‐world probabilities: A forward‐looking behavioral framework," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1797-1823, November.
  • Ricardo Cris'ostomo, 2020. "Estimating real-world probabilities: A forward-looking behavioral framework," Papers 2012.09041, arXiv.org, revised Jan 2021.
  • Ricardo Crisóstomo, 2021. "Estimating real word probabilities: a forward-looking behavioral framework," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
• Tetsuji Tanaka & Jin Guo, 2020. "Realistic Specifications and Model Predictability: Testing the Performance of a Stochastic CGE Model with Regionally Correlated Yield Variability in the Wheat and Rice Sectors," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 8(1), pages 55-75, March.
• Onwe, Joshua Chukwuma & Omolara King, 2020. "Electricity Consumption and Manufacturing Sector Output in Nigeria: Evidence from ARDL Approach," Energy Economics Letters, Asian Economic and Social Society, vol. 7(2), pages 110-117, December.
• Larysa Yakymova, 2020. "Developmental Patterns of Voluntary Pensions in CEE Countries: Analysis through the Bass Diffusion Model Reflecting the Observational Learning Mechanism," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 166-192.
• Jinyue Dong, 2020. "Modelo de predicción de la inflación en China [China | Forecasting modeling for China\'s inflation]," Working Papers 20/05, BBVA Bank, Economic Research Department.
• Félix Lores & Pep Ruiz & Angie Suárez & Alfonso Ugarte, 2020. "España | Modelo de precios de la vivienda. Una perspectiva regional [Spain | Model for housing prices. A regional perspective]," Working Papers 20/12, BBVA Bank, Economic Research Department.
• Mirco Rubin & Dario Ruzzi, 2020. "Equity tail risk in the treasury bond market," Temi di discussione (Economic working papers) 1311, Bank of Italy, Economic Research and International Relations Area.
• Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
  • Villamizar-Villegas, Mauricio & Pinzón-Puerto, Freddy A. & Ruiz-Sánchez, María Alejandra, 2020. "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Working papers 38, Red Investigadores de Economía.
  • Mauricio Villamizar-Villegas & Freddy A. Pinzón-Puerto & María Alejandra Ruiz-Sánchez, 2020. "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Borradores de Economia 1112, Banco de la Republica de Colombia.
• Hernán Rincón-Castro & Lucía Arango-Lozano & Sara Ariza-Murillo & Valeria Bejarano-Salcedo & Pamela Cardozo & Fredy Gamboa-Estrada & Juan Manuel Julio-Román & ..., 2020. "Impacto de la intervención cambiaria y su duración," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, issue 98, pages 1-120, November.
  • Hernán Rincón-Castro & Lucía Arango-Lozano & Sara Ariza-Murillo & Valeria Bejarano-Salcedo & Pamela Cardozo & Fredy Gamboa-Estrada & Juan Manuel Julio-Román & Laura León-Díaz & Camilo Miranda-Triana &, 2020. "Impacto de la intervención cambiaria y su duración," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 98, pages 1-120, November.
• Bradley Shapiro & Günter J. Hitsch & Anna Tuchman, 2020. "Generalizable and Robust TV Advertising Effects," Working Papers 2020-111, Becker Friedman Institute for Research In Economics.
• Joshua Angrist & Peter Hull & Parag A. Pathak & Christopher R. Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," NBER Working Papers 28241, National Bureau of Economic Research, Inc.
  • Joshua D. Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," Working Papers 2020-186, Becker Friedman Institute for Research In Economics.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 355-387, July.
  • Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Paper Series 2020-08, Federal Reserve Bank of San Francisco.
  • Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Papers 1158, Barcelona School of Economics.
  • Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the information channel of monetary policy disappeared? Revisiting the empirical evidence," Economics Working Papers 1701, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
  • Rossi, Barbara & Sekhposyan, Tatevik & Hoesch, Lukas, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," CEPR Discussion Papers 14456, C.E.P.R. Discussion Papers.
• Ponomarenko, Alexey & Tatarintsev, Stas, 2023. "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
  • Alexey Ponomarenko & Stas Tatarintsev, 2020. "Incorporating financial development indicators into early warning systems," Bank of Russia Working Paper Series wps58, Bank of Russia.
• Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
  • Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2019. "Taming the Factor Zoo: A Test of New Factors," NBER Working Papers 25481, National Bureau of Economic Research, Inc.
  • Giglio, Stefano & Feng, Guanhao & Xiu, Dacheng, 2020. "Taming the Factor Zoo: A Test of New Factors," CEPR Discussion Papers 14266, C.E.P.R. Discussion Papers.
• Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020. "Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
  • Nicolaas Johannes Odendaal & Monique Reid, 2018. "Media based sentiment indices as an alternative measure of consumer confidence," Working Papers 17/2018, Stellenbosch University, Department of Economics.
• BRAILA Alexandru & TOACA Zinovia, 2020. "Identification Of The Production Function By The Form Of The Marginal Characteristics, The Marginal Substitution Rate, The Elasticities And The Cost Function," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 72(3), pages 8-18, November.
• Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
• Na Guo & Bo Zhang & Jamie Cross, 2020. "Time-varying trend models for forecasting inflation in Australia," CAMA Working Papers 2020-99, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Bo Zhang & Jamie Cross & Na Guo, 2020. "Time-Varying Trend Models for Forecasting Inflation in Australia," Working Papers No 09/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• Cristiano Cantore & Filippo Ferroni & Miguel León-Ledesma, 2021. "The Missing Link: Monetary Policy and The Labor Share," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1592-1620.
  • Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel A., 2018. "The missing link: monetary policy and the labor share," LSE Research Online Documents on Economics 90873, London School of Economics and Political Science, LSE Library.
  • Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel, 2020. "The missing link: monetary policy and the labor share," Bank of England working papers 857, Bank of England, revised 29 May 2020.
  • Cristiano Cantore & Filippo Ferroni & Miguel A. Leon-Ledesma, 2018. "The Missing Link: Monetary policy and the labor share," Discussion Papers 1829, Centre for Macroeconomics (CFM).
  • León-Ledesma, Miguel & Cantore, Cristiano & Ferroni, Filippo, 2019. "The Missing Link: Monetary Policy and The Labor Share," CEPR Discussion Papers 13551, C.E.P.R. Discussion Papers.
  • Cristiano Cantore & Filippo Ferroni & Miguel A. Leon-Ledesma, 2018. "The Missing Link: Monetary Policy and The Labor Share," Studies in Economics 1808, School of Economics, University of Kent.
• Cantore, Cristiano & Freund, Lukas B., 2021. "Workers, capitalists, and the government: fiscal policy and income (re)distribution," Journal of Monetary Economics, Elsevier, vol. 119(C), pages 58-74.
  • Cantore, C. & Freund, L. B., 2020. "Workers, Capitalists, and the Government: Fiscal Policy and Income (Re)Distribution," Cambridge Working Papers in Economics 2095, Faculty of Economics, University of Cambridge.
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• 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.
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• 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.
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• Leonid Galchynskyi, 2020. "Estimation of the price elasticity of petroleum products’ consumption in Ukraine," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 315-339, June.
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• 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.
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• Phiri, Andrew, 2020. "Genetic diversity, disease prevalence and the coronavirus pandemic," MPRA Paper 101175, University Library of Munich, Germany.
• Bilgin, Cevat, 2020. "Asymmetric Effects of Exchange Rate Changes on Exports: A Sectoral Nonlinear Cointegration Analysis for Turkey," MPRA Paper 101316, University Library of Munich, Germany.
• Mullat, Joseph E., 2020. "Rational Choice Function Implementation for the German Stock Market Analysis," MPRA Paper 101591, University Library of Munich, Germany.
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• Yadav, Jayant, 2020. "Flight to Safety in Business cycles," MPRA Paper 104093, University Library of Munich, Germany.
• Pacifico, Antonio, 2020. "Bayesian Fuzzy Clustering with Robust Weighted Distance for Multiple ARIMA and Multivariate Time-Series," MPRA Paper 104379, University Library of Munich, Germany.
• Pincheira, Pablo & Hardy, Nicolas, 2020. "The Mean Squared Prediction Error Paradox: A summary," MPRA Paper 105020, University Library of Munich, Germany.
• Pincheira, Pablo & Jarsun, Nabil, 2020. "Summary of the Paper Entitled: Forecasting Fuel Prices with the Chilean Exchange Rate," MPRA Paper 105056, University Library of Munich, Germany.
• Olalude, Gbenga Adelekan & Olayinka, Hammed Abiola & Ankeli, Uchechi Constance, 2020. "Modelling and forecasting inflation rate in Nigeria using ARIMA models," MPRA Paper 105342, University Library of Munich, Germany, revised Dec 2020.
• Muhammad, Fajar & Zelani, Nurfalah & Septiarida, Nonalisa, 2020. "Modeling of Poverty Determinants in Sumatera Island (Panel Regression Approach)," MPRA Paper 105876, University Library of Munich, Germany, revised 14 Dec 2020.
• Fajar, Muhammad & Winarti, Yuyun Guna, 2020. "Modeling of Big Chili Supply Response Using Bayesian Method," MPRA Paper 106098, University Library of Munich, Germany, revised 21 Dec 2020.
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• Maiorova, Ksenia & Fokin, Nikita, 2020. "Наукастинг Темпов Роста Стоимостных Объемов Экспорта И Импорта По Товарным Группам [Nowcasting the growth rates of the export and import by commodity groups]," MPRA Paper 109557, University Library of Munich, Germany.
• Desogus, Marco, 2020. "The stochastic dynamics of business evaluations using Markov models," MPRA Paper 114361, University Library of Munich, Germany.
• Jackson, Emerson Abraham, 2020. "Understanding SLL / US$ exchange rate dynamics in Sierra Leone using Box-Jenkins ARIMA approach," MPRA Paper 97965, University Library of Munich, Germany, revised 03 Jan 2020.
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• Chlebus Marcin & Dyczko Michał & Woźniak Michał, 2021. "Nvidia's Stock Returns Prediction Using Machine Learning Techniques for Time Series Forecasting Problem," Central European Economic Journal, Sciendo, vol. 8(55), pages 44-62, January.
  • Marcin Chlebus & Michał Dyczko & Michał Woźniak, 2020. "Nvidia’s stock returns prediction using machine learning techniques for time series forecasting problem," Working Papers 2020-22, Faculty of Economic Sciences, University of Warsaw.
• Mateusz Heba & Marcin Chlebus, 2020. "Impact of using industry benchmark financial ratios on performance of bankruptcy prediction logistic regression model," Working Papers 2020-30, Faculty of Economic Sciences, University of Warsaw.
• Honorata Bogusz & Szymon Winnicki & Piotr Wójcik, 2020. "What factors determine unequal suburbanisation? New evidence from Warsaw, Poland," Working Papers 2020-34, Faculty of Economic Sciences, University of Warsaw.
• Piotr Wójcik & Bartłomiej Wieczorek, 2020. "We have just explained real convergence factors using machine learning," Working Papers 2020-38, 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.
• Julia Grübler & Oliver Reiter, 2020. "Non-tariff Trade Policy Analysis: An Ex-post Assessment of the EU-Korea Agreement," wiiw Working Papers 182, The Vienna Institute for International Economic Studies, wiiw.
• M. Hakan Eratalay & Evgenii V. Vladimirov, 2020. "Mapping the stocks in MICEX: Who is central in the Moscow Stock Exchange?," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 28(4), pages 581-620, October.
  • M. Hakan Eratalay & Evgenii Vladimirov, 2017. "Mapping the Stocks in MICEX: Who Is Central in Moscow Stock Exchange?," EUSP Department of Economics Working Paper Series 2017/01, European University at St. Petersburg, Department of Economics.
  • M. Hakan Eratalay; Evgenii V. Vladimirov, 2018. "Mapping The Stocks In Micex: Who Is Central To The Moscow Stock Exchange?," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 111, Faculty of Economics and Business Administration, University of Tartu (Estonia).
• Michael W. McCracken, 2020. "Diverging Tests of Equal Predictive Ability," Econometrica, Econometric Society, vol. 88(4), pages 1753-1754, July.
  • Michael W. McCracken, 2019. "Diverging Tests of Equal Predictive Ability," Working Papers 2019-018, Federal Reserve Bank of St. Louis, revised 09 Mar 2020.
• Jonas Dovern & Hans Manner, 2020. "Order‐invariant tests for proper calibration of multivariate density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 440-456, June.
  • Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," Graz Economics Papers 2018-09, University of Graz, Department of Economics.
  • Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
• Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
  • Blazejowski, Marcin & Kufel, Paweł & Kwiatkowski, Jacek, 2018. "Model simplification and variable selection: A Replication of the UK inflation model by Hendry (2001)," MPRA Paper 88745, University Library of Munich, Germany.
• Duc Khuong Nguyen & Thomas Walther, 2020. "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
  • Nguyen, Duc Khuong & Walther, Thomas, 2017. "Modeling and forecasting commodity market volatility with long-term economic and financial variables," MPRA Paper 84464, University Library of Munich, Germany, revised Jan 2018.
  • Thomas Walther & Duc Khuong Nguyen, 2018. "Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables," Working Papers on Finance 1824, University of St. Gallen, School of Finance.
• Brad R. Humphreys & Bruce K. Johnson & John C. Whitehead, 2020. "Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 316-330, July.
  • Brad R. Humphreys & Bruce K. Johnson & John C. Whitehead, 2017. "Validity and Reliability of Contingent Valuation and Life Satisfaction Measures of Welfare: An Application to the Value of National Olympic Success," Working Papers 17-08, Department of Economics, Appalachian State University.
• Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," "Marco Fanno" Working Papers 0257, Dipartimento di Scienze Economiche "Marco Fanno".
  • Angelini, Giovanni & Caggiano, Giovanni & Castelnuovo, Efrem & Fanelli, Luca, 2020. "Are fiscal multipliers estimated with proxy-SVARs robust?," Bank of Finland Research Discussion Papers 13/2020, Bank of Finland.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2021. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Monash Economics Working Papers 2021-08, Monash University, Department of Economics.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Working Papers wp1151, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are fiscal multipliers estimated with proxy-SVARs robust?," CAMA Working Papers 2020-69, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," CESifo Working Paper Series 8438, CESifo.
• Kilian, Lutz, 2022. "Understanding the estimation of oil demand and oil supply elasticities," Energy Economics, Elsevier, vol. 107(C).
  • Lutz Kilian, 2020. "Understanding the Estimation of Oil Demand and Oil Supply Elasticities," Working Papers 2027, Federal Reserve Bank of Dallas.
  • Kilian, Lutz, 2020. "Understanding the estimation of oil demand and oil supply elasticities," CFS Working Paper Series 649, Center for Financial Studies (CFS).
  • Lutz Kilian, 2020. "Understanding the Estimation of Oil Demand and Oil Supply Elasticities," CESifo Working Paper Series 8567, CESifo.
  • Kilian, Lutz, 2020. "Understanding the Estimation of Oil Demand and Oil Supply Elasticities," CEPR Discussion Papers 15244, C.E.P.R. Discussion Papers.
• Inoue, Atsushi & Kilian, Lutz, 2022. "Joint Bayesian inference about impulse responses in VAR models," Journal of Econometrics, Elsevier, vol. 231(2), pages 457-476.
  • Atsushi Inoue & Lutz Kilian, 2020. "Joint Bayesian Inference about Impulse Responses in VAR Models," Working Papers 2022, Federal Reserve Bank of Dallas.
  • Inoue, Atsushi & Kilian, Lutz, 2020. "Joint Bayesian inference about impulse responses in VAR models," CFS Working Paper Series 650, Center for Financial Studies (CFS).
• Vrigazova, Borislava, 2020. "Tenfold Bootstrap as Resampling Method in Classification Problems," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 74-83, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
• Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
  • Dimitriadis, Timo & Liu, Xiaochun & Schnaitmann, Julie, 2020. "Encompassing tests for value at risk and expected shortfall multi-step forecasts based on inference on the boundary," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
• Nelson, Jon Paul, 2020. "Fixed-effect versus random-effects meta-analysis in economics: A study of pass-through rates for alcohol beverage excise taxes," Economics Discussion Papers 2020-1, Kiel Institute for the World Economy (IfW Kiel).
• Brighton, Henry, 2020. "Statistical foundations of ecological rationality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-32.
• Trimborn, Simon & Härdle, Wolfgang Karl, 2018. "CRIX an Index for cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
  • Trimborn, Simon & Härdle, Wolfgang Karl, 2020. "CRIX an Index for cryptocurrencies," IRTG 1792 Discussion Papers 2020-009, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Schlösser, Alexander, 2020. "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers 838, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of Rural Electrification on Employment: A Comment on Dinkelman (2011)," MetaArXiv zhn9b, Center for Open Science.
  • Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of rural electrification on employment: A comment on Dinkelman (2011)," Ruhr Economic Papers 840, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
• Zhu, Junyi & Steiner, Viktor, 2020. "A Joint Top Income and Wealth Distribution," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224651, Verein für Socialpolitik / German Economic Association.

2019

• Maria Teresa Medeiros Garcia & André Fernando Rodrigues Rocha da Silva, 2019. "Assessing Pension Expenditure Determinants – the Case of Portugal," Working Papers REM 2019/68, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Maria Teresa Medeiros Garcia & Ana Catarina Gomes Rodrigues, 2019. "The dynamic relationship between stock market indexes and foreign exchange," Working Papers REM 2019/90, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Simon Jäger & Benjamin Schoefer & Josef Zweimüller, 2018. "Marginal jobs and job surplus: a test of the efficiency of separations," ECON - Working Papers 314, Department of Economics - University of Zurich.
  • Jäger, Simon & Schoefer, Benjamin & Zweimüller, Josef, 2019. "Marginal Jobs and Job Surplus: A Test of the Efficiency of Separations," IZA Discussion Papers 12127, Institute of Labor Economics (IZA).
  • Simon Jäger & Benjamin Schoefer & Josef Zweimüller, 2019. "Marginal Jobs and Job Surplus: A Test of the Efficiency of Separations," NBER Working Papers 25492, National Bureau of Economic Research, Inc.
  • Zweimüller, Josef & Jäger, Simon & Schoefer, Benjamin, 2019. "Marginal Jobs and Job Surplus: A Test of the Efficiency of Separations," CEPR Discussion Papers 13473, C.E.P.R. Discussion Papers.
• Emmanuel Antwi & Emmanuel Numapau Gyamfi & Kwabena A. Kyei, 2019. "Modeling And Forecasting Ghana’s Inflation Rate Under Threshold Models," Journal of Developing Areas, Tennessee State University, College of Business, vol. 53(3), pages 93-105, Summer.
• Yongquan Cao & Grey Gordon, 2019. "A Practical Approach to Testing Calibration Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1165-1182, March.
  • Yongquan Cao & Grey Gordon, 2016. "A Practical Approach to Testing Calibration Strategies," CAEPR Working Papers 2016-004, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, revised Jan 2018.
• Wouter Nientker & Rob Alessie, 2019. "Female Labor Market Participation Across Cohorts: Evidence from the Netherlands," De Economist, Springer, vol. 167(4), pages 407-433, December.
• Nels Christiansen & John H. Kagel, 2019. "Reference point effects in legislative bargaining: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 735-752, September.
• Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
• Nicolas Hérault & Stephen P. Jenkins, 2019. "How valid are synthetic panel estimates of poverty dynamics?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 51-76, March.
  • Nicolas Hérault & Stephen P. Jenkins, 2019. "How valid are synthetic panel estimates of poverty dynamics?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 51-76, March.
  • Nicolas Herault & Stephen P. Jenkins, 2018. "How Valid are Synthetic Panel Estimates of Poverty Dynamics?," Melbourne Institute Working Paper Series wp2018n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • P. Jenkins, Stephen & Hérault, Nicolas, 2018. "How valid are synthetic panel estimates of poverty dynamics?," ISER Working Paper Series 2018-05, Institute for Social and Economic Research.
  • Herault, Nicolas & Jenkins, Stephen P., 2018. "How Valid Are Synthetic Panel Estimates of Poverty Dynamics?," IZA Discussion Papers 11484, Institute of Labor Economics (IZA).
  • Nicolas Hérault & Stephen P. Jenkins, 2018. "How valid are synthetic panel estimates of poverty dynamics?," Working Papers 465, ECINEQ, Society for the Study of Economic Inequality.
  • Hérault, Nicolas & Jenkins, Stephen P., 2019. "How valid are synthetic panel estimates of poverty dynamics?," LSE Research Online Documents on Economics 100043, London School of Economics and Political Science, LSE Library.
  • Hérault, Nicolas & Jenkins, Stephen P., 2018. "How valid are synthetic panel estimates of poverty dynamics?," GLO Discussion Paper Series 207, Global Labor Organization (GLO).
• David Meenagh & Patrick Minford & Michael Wickens & Yongdeng Xu, 2019. "Testing DSGE Models by Indirect Inference: a Survey of Recent Findings," Open Economies Review, Springer, vol. 30(3), pages 593-620, July.
  • Meenagh, David & Minford, Patrick & Wickens, Michael & Xu, Yongdeng, 2018. "Testing DSGE Models by indirect inference: a survey of recent findings," Cardiff Economics Working Papers E2018/14, Cardiff University, Cardiff Business School, Economics Section.
• Byung-hill Jun & Hosin Song, 2019. "Tests for Detecting Probability Mass Points," Korean Economic Review, Korean Economic Association, vol. 35, pages 205-248.
• Boriss Siliverstovs & Daniel Wochner, 2019. "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," KOF Working papers 19-463, KOF Swiss Economic Institute, ETH Zurich.
  • Boriss Siliverstovs & Daniel Wochner, 2020. "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," Working Papers 2020/02, Latvijas Banka.
• Hortay, Olivér & Szőke, Tamás, 2019. "Keresleti árrugalmasság becslése a magyar villamosenergia-piacon [Estimating demand-price elasticity on the Hungarian electric energy market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 788-804.
• 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.
• Schlicht, Ekkehart, 2006. "VC - A Method For Estimating Time-Varying Coefficients in Linear Models," Discussion Papers in Economics 61656, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2019. "VC - A Method For Estimating Time-Varying Coefficients in Linear Models," Discussion Papers in Economics 69765, University of Munich, Department of Economics.
  • Schlicht, Ekkehart, 2020. "VC - A Method For Estimating Time-Varying Coefficients in Linear Models," IZA Discussion Papers 12920, Institute of Labor Economics (IZA).
  • Schlicht, Ekkehart, 2019. "VC - A method for estimating time-varying coefficients in linear models," Economics Discussion Papers 2019-22, Kiel Institute for the World Economy (IfW Kiel).
• Andrea Bastianin, 2020. "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Applied Economics, Taylor & Francis Journals, vol. 52(7), pages 637-670, February.
  • Andrea Bastianin, 2019. "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Working Papers 408, University of Milano-Bicocca, Department of Economics, revised 06 May 2019.
• Dániel Béres, 2019. "Integrity of Financial Benchmarks," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(1), pages 33-59.
• Mbekeni Lutho & Phiri Andrew, 2020. "South African Unemployment in the Post-Financial Crisis Era: What are the Determinants?," Folia Oeconomica Stetinensia, Sciendo, vol. 20(2), pages 230-248, December.
  • Mbekeni, Lutho & Phiri, Andrew, 2019. "South African unemployment in the post-financial crisis era: What are the determinants?," MPRA Paper 94159, University Library of Munich, Germany.
  • Lutho Mbekeni & Andrew Phiri, 2019. "South African unemployment in the post-financial crisis era: What are the determinants?," Working Papers 1903, Department of Economics, Nelson Mandela University, revised May 2019.
• Kambale Kavese & Andrew Phiri, 2019. "Fiscal cyclicality in South African public expenditures: Do asymmetries explain inconsistencies?," Working Papers 1909, Department of Economics, Nelson Mandela University, revised Sep 2019.
• Andrew Phiri, 2021. "Is Neo-Fisherism ‘alive’ in South Africa? A frequency domain causality approach," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 14(2), pages 142-156, May.
  • Andrew Phiri, 2019. "Is Neo-Fisherian ‘alive’ in South Africa? A frequency domain causality approach," Working Papers 1911, Department of Economics, Nelson Mandela University, revised Nov 2019.
• Christophe Chorro & R.H. Fanirisoa Zazaravaka, 2019. "Discriminating between GARCH models for option pricing by their ability to compute accurate VIX measures," Documents de travail du Centre d'Economie de la Sorbonne 19014, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Christophe Chorro & R.H. Fanirisoa Zazaravaka, 2019. "Discriminating between GARCH models for option pricing by their ability to compute accurate VIX measures," Documents de travail du Centre d'Economie de la Sorbonne 19014r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Oct 2020.
• Kanchana Nadarajah & Gael M Martin & Donald S Poskitt, 2019. "Optimal Bias Correction of the Log-periodogram Estimator of the Fractional Parameter: A Jackknife Approach," Monash Econometrics and Business Statistics Working Papers 7/19, Monash University, Department of Econometrics and Business Statistics.
• Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
  • Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2019. "Taming the Factor Zoo: A Test of New Factors," NBER Working Papers 25481, National Bureau of Economic Research, Inc.
  • Giglio, Stefano & Feng, Guanhao & Xiu, Dacheng, 2020. "Taming the Factor Zoo: A Test of New Factors," CEPR Discussion Papers 14266, C.E.P.R. Discussion Papers.
• Hansen, Lars Peter & Sargent, Thomas J., 2021. "Macroeconomic uncertainty prices when beliefs are tenuous," Journal of Econometrics, Elsevier, vol. 223(1), pages 222-250.
  • Lars Peter Hansen & Thomas J. Sargent, 2019. "Macroeconomic Uncertainty Prices when Beliefs are Tenuous," NBER Working Papers 25781, National Bureau of Economic Research, Inc.
• Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2022. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 764-779, October.
  • Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-328, Boston University - Department of Economics.
  • Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Merton Peck, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," NBER Working Papers 25980, National Bureau of Economic Research, Inc.
  • Bazzi, Samuel & Blair, Robert & Blattman, Chris & Dube, Oeindrila & Gudgeon, Matthew & Peck, Richard, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," SocArXiv bkrn8, Center for Open Science.
  • Blattman, Christopher & Dube, Oeindrila & Bazzi, Samuel & Gudgeon, Matthew & Peck, Richard & Blair, Robert, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," CEPR Discussion Papers 13829, C.E.P.R. Discussion Papers.
• Matthew Backus & Sida Peng, 2019. "On Testing Continuity and the Detection of Failures," NBER Working Papers 26016, National Bureau of Economic Research, Inc.
• Torben G. Andersen & Martin Thyrsgaard & Viktor Todorov, 2019. "Cross-Sectional Dispersion of Risk in Trading Time," NBER Working Papers 26329, National Bureau of Economic Research, Inc.
• Hui Chen & Winston Wei Dou & Leonid Kogan, 2019. "Measuring “Dark Matter” in Asset Pricing Models," NBER Working Papers 26418, National Bureau of Economic Research, Inc.
• Bo, Hao & Galiani, Sebastian, 2021. "Assessing external validity," Research in Economics, Elsevier, vol. 75(3), pages 274-285.
  • Hao Bo & Sebastian Galiani, 2019. "Assessing External Validity," NBER Working Papers 26422, National Bureau of Economic Research, Inc.
• Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
  • Alexander M. Chinco & Andreas Neuhierl & Michael Weber, 2019. "Estimating The Anomaly Base Rate," NBER Working Papers 26493, National Bureau of Economic Research, Inc.
• Joshua D. Angrist & Brigham Frandsen, 2022. "Machine Labor," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 97-140.
  • Joshua Angrist & Brigham Frandsen, 2019. "Machine Labor," NBER Working Papers 26584, National Bureau of Economic Research, Inc.
• Puga, Diego & Duranton, Gilles, 2019. "Urban growth and its aggregate implications," CEPR Discussion Papers 14215, C.E.P.R. Discussion Papers.
  • Gilles Duranton & Diego Puga, 2020. "Urban Growth and its Aggreate Implications," Working Papers wp2020_2013, CEMFI.
  • Gilles Duranton & Diego Puga, 2019. "Urban Growth and its Aggregate Implications," NBER Working Papers 26591, National Bureau of Economic Research, Inc.
• L. E. Limonov & M. V. Nesena., 2019. "Evaluation of the impact of public investment programs on social and economic performance of territories," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 1.
• Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Daniel Wilhelm, 2019. "Testing for the Presence of Measurement Error," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-18, Economic Statistics Centre of Excellence (ESCoE).
  • Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Richardson, Adam & van Florenstein Mulder, Thomas & Vehbi, Tuğrul, 2021. "Nowcasting GDP using machine-learning algorithms: A real-time assessment," International Journal of Forecasting, Elsevier, vol. 37(2), pages 941-948.
  • Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
• Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2022. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 764-779, October.
  • Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-328, Boston University - Department of Economics.
  • Bazzi, Samuel & Blair, Robert & Blattman, Chris & Dube, Oeindrila & Gudgeon, Matthew & Peck, Richard, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," SocArXiv bkrn8, Center for Open Science.
  • Blattman, Christopher & Dube, Oeindrila & Bazzi, Samuel & Gudgeon, Matthew & Peck, Richard & Blair, Robert, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," CEPR Discussion Papers 13829, C.E.P.R. Discussion Papers.
  • Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Merton Peck, 2019. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," NBER Working Papers 25980, National Bureau of Economic Research, Inc.
• P Gorgi & P R Hansen & P Janus & S J Koopman, 2019. "Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 17(1), pages 1-32.
  • Peter Reinhard Hansen & Pawel Janus & Siem Jan Koopman, 2016. "Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model," Tinbergen Institute Discussion Papers 16-061/III, Tinbergen Institute.
• Rangan Gupta & Mark Wohar, 2019. "The role of monetary policy uncertainty in predicting equity market volatility of the United Kingdom: evidence from over 150 years of data," Economics and Business Letters, Oviedo University Press, vol. 8(3), pages 138-146.
  • Rangan Gupta & Mark E. Wohar, 2018. "The Role of Monetary Policy Uncertainty in Predicting Equity Market Volatility of the United Kingdom: Evidence from over 150 Years of Data," Working Papers 201851, University of Pretoria, Department of Economics.
• Jennifer Castle & Takamitsu Kurita, 2019. "Modelling and forecasting the dollar-pound exchange rate in the presence of structural breaks," Economics Series Working Papers 866, University of Oxford, Department of Economics.
• Mora Rodríguez, Jhon James & González Terán, Ángela María, 2019. "Progresos educativos intergeneracionales: un análisis para Colombia || Intergenerational educational progress: an analysis for Colombia," 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 143-159, December.
• Ai Jun Hou & Ian Khrashchevskyi & Jarkko Peltomäki, 2019. "Hedge and safe haven investing with investment styles," Journal of Asset Management, Palgrave Macmillan, vol. 20(5), pages 351-364, September.
• 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.
• Dhruv Grover & Sebastian Bauhoff & Jed Friedman, 2019. "Using supervised learning to select audit targets in performance-based financing in health: An example from Zambia," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-13, January.
  • Dhruv Grover & Sebastian Bauhoff & Jed Friedman, 2018. "Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia," Working Papers 481, Center for Global Development.
• Barbara Rossi & Yiru Wang, 2019. "Vector autoregressive-based Granger causality test in the presence of instabilities," Stata Journal, StataCorp LP, vol. 19(4), pages 883-899, December.
  • Rossi, Barbara & Wang, Yiru, 2019. "Vector autoregressive-based Granger causality test in the presence of instabilities," MPRA Paper 101492, University Library of Munich, Germany.
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  • Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
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• Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina P. Tchamyou, 2019. "Fighting terrorism in Africa when existing terrorism levels matter," Working Papers 19/084, European Xtramile Centre of African Studies (EXCAS).
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• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/090, African Governance and Development Institute..
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• Basistha, Arabinda & Kurov, Alexander & Wolfe, Marketa Halova, 2019. "Volatility Forecasting: The Role of Internet Search Activity and Implied Volatility," MPRA Paper 111037, University Library of Munich, Germany.
• Wayne Taylor & Brett Hollenbeck, 2021. "Leveraging loyalty programs using competitor based targeting," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 417-455, December.
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• Yang, Bill Huajian, 2019. "Monotonic Estimation for the Survival Probability over a Risk-Rated Portfolio by Discrete-Time Hazard Rate Models," MPRA Paper 93398, University Library of Munich, Germany.
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  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Working Papers 19/006, European Xtramile Centre of African Studies (EXCAS).
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• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/010, African Governance and Development Institute..
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• Hein, Yarzar & Vijitsrikamol, Kampanat & Attavanich, Witsanu & Janekarnkij, Penporn, 2019. "Economic Assessment of Climate Adaptation Options in Myanmar Rice-Based Farming System," MPRA Paper 93587, University Library of Munich, Germany, revised Mar 2019.
• Yang, Bill Huajian & Wu, Biao & Cui, Kaijie & Du, Zunwei & Fei, Glenn, 2019. "IFRS9 Expected Credit Loss Estimation: Advanced Models for Estimating Portfolio Loss and Weighting Scenario Losses," MPRA Paper 93634, University Library of Munich, Germany.
• Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Governance,CO2 emissions and inclusive human development in Sub-Saharan Africa," Working Papers 25253, University of South Africa, Department of Economics.
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• Xiao, Tim, 2018. "Bilateral Defaultable Financial Derivatives Pricing and Credit Valuation Adjustment," EconStor Preprints 202549, ZBW - Leibniz Information Centre for Economics.
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• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
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• Jackson, Emerson Abraham & Tamuke, Edmund & Jabbie, Mohamed, 2019. "Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone," MPRA Paper 96735, University Library of Munich, Germany, revised 26 Nov 2019.
• Jackson, Emerson Abraham & Tamuke, Edmund, 2019. "Predicting disaggregated tourist arrivals in Sierra Leone using ARIMA model," EconStor Preprints 202547, ZBW - Leibniz Information Centre for Economics.
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• Pincheira, Pablo & Hardy, Nicolás, 2021. "Forecasting aluminum prices with commodity currencies," Resources Policy, Elsevier, vol. 73(C).
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• Aknouche, Abdelhakim & Francq, Christian, 2019. "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," MPRA Paper 97382, University Library of Munich, Germany.
• Pincheira, Pablo & Hernández, Ana María, 2019. "Forecasting Unemployment Rates with International Factors," MPRA Paper 97855, University Library of Munich, Germany.
• Zarei, Samira, 2019. "How do Real Exchange Rate Movements Affect the Economic Growth in Iran?," MPRA Paper 99102, University Library of Munich, Germany.
• Jiřina Kocourková & Anna Šťastná & Alena Černíková, 2019. "Vliv ekonomické krize na úroveň plodnosti ve státech Evropské unie [The Impact of the Economic Crisis on Fertility Levels in EU Member States]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(1), pages 82-104.
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• Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
  • Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
  • Dimitris Korobilis, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," Working Paper series 19-17, Rimini Centre for Economic Analysis.
  • Korobilis, Dimitris, 2019. "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper 96079, University Library of Munich, Germany.
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• Aboojafari, Roohollah & Daliri, Alireza & Taghizadeh-Hesary, Farhad & Mokhtari, Mohammad & Ekhtiari, Mohsen, 2019. "The Role of Credit Guarantee Schemes in the Development of Small and Medium-Sized Enterprises with an Emphasis on Knowledge-Based Enterprises," ADBI Working Papers 930, Asian Development Bank Institute.
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• Fernando Fernandes Neto & Claudio Garcia, Rodrigo de Losso da Silveira Bueno, Pedro Delano Cavalcanti, Alemayehu Solomon Admas, 2019. "Deep Haar Scattering Networks in Unidimensional Pattern Recognition Problems," Working Papers, Department of Economics 2019_16, University of São Paulo (FEA-USP).
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• Gianna Figá-Talamanca & Marco Patacca, 2019. "Does market attention affect Bitcoin returns and volatility?," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 135-155, June.
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• Martin Gürtler, 2019. "Dynamic analysis of trade balance behavior in a small open economy: the J-curve phenomenon and the Czech economy," Empirical Economics, Springer, vol. 56(2), pages 469-497, February.
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• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub‐Saharan Africa: Insights from governance mechanisms," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(4), pages 713-724, July.
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  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Working Papers 19/006, European Xtramile Centre of African Studies (EXCAS).
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• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/010, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Research Africa Network Working Papers 19/010, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," CEREDEC Working Papers 19/010, Centre de Recherche pour le Développement Economique (CEREDEC).
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," MPRA Paper 93534, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers 19/010, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Economic development thresholds for a green economy in Sub-Saharan Africa," Working Papers 25252, University of South Africa, Department of Economics.
• Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Governance,CO2 emissions and inclusive human development in Sub-Saharan Africa," Working Papers 25253, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Research Africa Network Working Papers 19/011, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/011, African Governance and Development Institute..
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," MPRA Paper 93660, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Working Papers 19/011, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," CEREDEC Working Papers 19/011, Centre de Recherche pour le Développement Economique (CEREDEC).
• Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2020. "Linkages between Globalisation, Carbon Dioxide Emissions and Governance in Sub-Saharan Africa," International Journal of Public Administration, Taylor & Francis Journals, vol. 43(11), pages 949-963, August.
  • Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/051, African Governance and Development Institute..
  • Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," Research Africa Network Working Papers 19/051, Research Africa Network (RAN).
  • Asongu, Simplice & Nting, Rexon & Nnanna, Joseph, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," MPRA Paper 101534, University Library of Munich, Germany.
  • Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," Working Papers 19/051, European Xtramile Centre of African Studies (EXCAS).
• Asongu, Simplice, 2019. "The persistence of global terrorism," MPRA Paper 101536, University Library of Munich, Germany.
  • Simplice A. Asongu, 2019. "The persistence of global terrorism," Research Africa Network Working Papers 19/053, Research Africa Network (RAN).
  • Simplice A. Asongu, 2019. "The persistence of global terrorism," Working Papers 19/053, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu, 2019. "The persistence of global terrorism," Working Papers of the African Governance and Development Institute. 19/053, African Governance and Development Institute..
• Asongu, Simplice, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," MPRA Paper 101557, University Library of Munich, Germany.
  • Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
  • Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers of the African Governance and Development Institute. 19/057, African Governance and Development Institute..
  • Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers 19/057, European Xtramile Centre of African Studies (EXCAS).
• Samuel Egbetokun & Evans S. Osabuohien & Temidayo Akinbobola & Olaronke Onanuga & Obindah Gershon & Victoria Okafor, 2019. "Environmental Pollution, Economic Growth and Institutional Quality: Exploring the Nexus in Nigeria," Working Papers of the African Governance and Development Institute. 19/059, African Governance and Development Institute..
  • Samuel Egbetokun & Evans S. Osabuohien & Temidayo Akinbobola & Olaronke Onanuga & Obindah Gershon & Victoria Okafor, 2019. "Environmental Pollution, Economic Growth and Institutional Quality: Exploring the Nexus in Nigeria," Research Africa Network Working Papers 19/059, Research Africa Network (RAN).
  • Samuel Egbetokun & Evans S. Osabuohien & Temidayo Akinbobola & Olaronke Onanuga & Obindah Gershon & Victoria Okafor, 2019. "Environmental Pollution, Economic Growth and Institutional Quality: Exploring the Nexus in Nigeria," Working Papers 19/059, European Xtramile Centre of African Studies (EXCAS).
• Asongu, Simplice & Tchamyou, Vanessa & Asongu, Ndemaze & Tchamyou, Nina, 2019. "Fighting terrorism in Africa when existing terrorism levels matter," MPRA Paper 102026, University Library of Munich, Germany.
  • Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina P. Tchamyou, 2019. "Fighting terrorism in Africa when existing terrorism levels matter," Research Africa Network Working Papers 19/084, Research Africa Network (RAN).
  • Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina P. Tchamyou, 2019. "Fighting terrorism in Africa when existing terrorism levels matter," Working Papers of the African Governance and Development Institute. 19/084, African Governance and Development Institute..
  • Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina P. Tchamyou, 2019. "Fighting terrorism in Africa when existing terrorism levels matter," Working Papers 19/084, European Xtramile Centre of African Studies (EXCAS).
• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/090, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa," Research Africa Network Working Papers 19/090, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa," Working Papers 19/090, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa," MPRA Paper 102035, University Library of Munich, Germany.
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• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub‐Saharan Africa: Insights from governance mechanisms," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(4), pages 713-724, July.
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," MPRA Paper 93530, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," CEREDEC Working Papers 19/006, Centre de Recherche pour le Développement Economique (CEREDEC).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Research Africa Network Working Papers 19/006, Research Africa Network (RAN).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Inclusive development in enviromental sustainability in Sub-Saharan Africa: Insights from governance mechanisms," Working Papers 25226, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Working Papers 19/006, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Working Papers of the African Governance and Development Institute. 19/006, African Governance and Development Institute..
• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/010, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," CEREDEC Working Papers 19/010, Centre de Recherche pour le Développement Economique (CEREDEC).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers 19/010, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Economic development thresholds for a green economy in Sub-Saharan Africa," Working Papers 25252, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Research Africa Network Working Papers 19/010, Research Africa Network (RAN).
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," MPRA Paper 93534, University Library of Munich, Germany.
• Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Governance,CO2 emissions and inclusive human development in Sub-Saharan Africa," Working Papers 25253, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," CEREDEC Working Papers 19/011, Centre de Recherche pour le Développement Economique (CEREDEC).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/011, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Research Africa Network Working Papers 19/011, Research Africa Network (RAN).
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," MPRA Paper 93660, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Working Papers 19/011, European Xtramile Centre of African Studies (EXCAS).
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• Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub‐Saharan Africa: Insights from governance mechanisms," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(4), pages 713-724, July.
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," MPRA Paper 93530, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Working Papers of the African Governance and Development Institute. 19/006, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Research Africa Network Working Papers 19/006, Research Africa Network (RAN).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Inclusive development in enviromental sustainability in Sub-Saharan Africa: Insights from governance mechanisms," Working Papers 25226, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," CEREDEC Working Papers 19/006, Centre de Recherche pour le Développement Economique (CEREDEC).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Inclusive development in environmental sustainability in sub-Saharan Africa: insights from governance mechanisms," Working Papers 19/006, European Xtramile Centre of African Studies (EXCAS).
• Asongu, Simplice & Odhiambo, Nicholas, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," MPRA Paper 93534, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/010, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Working Papers 19/010, European Xtramile Centre of African Studies (EXCAS).
  • Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Economic development thresholds for a green economy in Sub-Saharan Africa," Working Papers 25252, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," Research Africa Network Working Papers 19/010, Research Africa Network (RAN).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Economic Development Thresholds for a Green Economy in Sub-Saharan Africa," CEREDEC Working Papers 19/010, Centre de Recherche pour le Développement Economique (CEREDEC).
• Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Governance,CO2 emissions and inclusive human development in Sub-Saharan Africa," Working Papers 25253, University of South Africa, Department of Economics.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/011, African Governance and Development Institute..
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Research Africa Network Working Papers 19/011, Research Africa Network (RAN).
  • Asongu, Simplice & Odhiambo, Nicholas, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," MPRA Paper 93660, University Library of Munich, Germany.
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," Working Papers 19/011, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, CO2 emissions and Inclusive Human Development in Sub-Saharan Africa," CEREDEC Working Papers 19/011, Centre de Recherche pour le Développement Economique (CEREDEC).
• Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2020. "Linkages between Globalisation, Carbon Dioxide Emissions and Governance in Sub-Saharan Africa," International Journal of Public Administration, Taylor & Francis Journals, vol. 43(11), pages 949-963, August.
  • Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," Working Papers 19/051, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 19/051, African Governance and Development Institute..
  • Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," Research Africa Network Working Papers 19/051, Research Africa Network (RAN).
  • Asongu, Simplice & Nting, Rexon & Nnanna, Joseph, 2019. "Linkages between Globalisation, Carbon dioxide emissions and Governance in Sub-Saharan Africa," MPRA Paper 101534, University Library of Munich, Germany.
• Asongu, Simplice, 2019. "The persistence of global terrorism," MPRA Paper 101536, University Library of Munich, Germany.
  • Simplice A. Asongu, 2019. "The persistence of global terrorism," Working Papers of the African Governance and Development Institute. 19/053, African Governance and Development Institute..
  • Simplice A. Asongu, 2019. "The persistence of global terrorism," Research Africa Network Working Papers 19/053, Research Africa Network (RAN).
  • Simplice A. Asongu, 2019. "The persistence of global terrorism," Working Papers 19/053, European Xtramile Centre of African Studies (EXCAS).
• Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers 19/057, European Xtramile Centre of African Studies (EXCAS).
  • Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers of the African Governance and Development Institute. 19/057, African Governance and Development Institute..
  • Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
  • Asongu, Simplice, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," MPRA Paper 101557, University Library of Munich, Germany.
• Samuel Egbetokun & Evans S. Osabuohien & Temidayo Akinbobola & Olaronke Onanuga & Obindah Gershon & Victoria Okafor, 2019. "Environmental Pollution, Economic Growth and Institutional Quality: Exploring the Nexus in Nigeria," Research Africa Network Working Papers 19/059, Research Africa Network (RAN).
  • Samuel Egbetokun & Evans S. Osabuohien & Temidayo Akinbobola & Olaronke Onanuga & Obindah Gershon & Victoria Okafor, 2019. "Environmental Pollution, Economic Growth and Institutional Quality: Exploring the Nexus in Nigeria," Working Papers of the African Governance and Development Institute. 19/059, African Governance and Development Institute..
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• Atefeh Hasan-Zadeh, 2019. "Mathematical Modelling Of Decision-Making Application To Investment," International Association of Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 1-14, June.
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• Ekaterina Tzvetanova, 2019. "Adaptation of the Altman’s Corporate Insolvency Prediction Model – The Bulgarian Case," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 125-142.
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• Andreas Joseph, 2019. "Parametric inference with universal function approximators," Papers 1903.04209, arXiv.org, revised Oct 2020.
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