Report NEP-ECM-2019-08-12

This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.

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Other reports in NEP-ECM

The following items were announced in this report:

• Alessio Volpicella, 2019. "SVARs Identification through Bounds on the Forecast Error Variance," Working Papers 890, Queen Mary University of London, School of Economics and Finance.
• Yukitoshi Matsushita & Taisuke Otsu, 2019. "Jackknife, small bandwidth and high-dimensional asymptotics," STICERD - Econometrics Paper Series 605, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• Germano Ruisi, 2019. "Time-Varying Local Projections," Working Papers 891, Queen Mary University of London, School of Economics and Finance.
• Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 122, Paderborn University, CIE Center for International Economics.
• Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
• Michael W. McCracken, 2019. "Diverging Tests of Equal Predictive Ability," Working Papers 2019-018, Federal Reserve Bank of St. Louis, revised 09 Mar 2020.
• Jon Danielsson & Lerby Ergun & Laurens de Haan & Casper G. de Vries, 2019. "Tail Index Estimation: Quantile-Driven Threshold Selection," Staff Working Papers 19-28, Bank of Canada.
• Bajzik, Jozef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2019. "Estimating the Armington Elasticity: The Importance of Data Choice and Publication Bias," MPRA Paper 95031, University Library of Munich, Germany.
• Petr Koldanov, 2019. "Testing new property of elliptical model for stock returns distribution," Papers 1907.10306, arXiv.org.
• Anne Opschoor & André Lucas, 2019. "Time-varying tail behavior for realized kernels," Tinbergen Institute Discussion Papers 19-051/IV, Tinbergen Institute.
• Jérôme TRINH, 2019. "Temporal disaggregation of short time series with structural breaks: Estimating quarterly data from yearly emerging economies data," Working Papers 2019-11, Center for Research in Economics and Statistics.
• Daisuke Kurisu & Taisuke Otsu, 2019. "On the uniform convergence of deconvolution estimators from repeated measurements," STICERD - Econometrics Paper Series 604, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• Manh D. Pham & Léopold Simar & Valentin Zelenyuk, 2019. "Statistical Inference for Aggregation of Malmquist Productivity Indices," CEPA Working Papers Series WP082019, School of Economics, University of Queensland, Australia.
• David S. Miller, 2019. "Predicting Future Recessions," FEDS Notes 2019-05-06, Board of Governors of the Federal Reserve System (U.S.).
• Mitchell, James & Weale, Martin, 2019. "Forecasting with Unknown Unknowns: Censoring and Fat Tails on the Bank of England's Monetary Policy Committee," EMF Research Papers 27, Economic Modelling and Forecasting Group.
• Keith Blackwell, 2019. "A Behavioral Foundation for Commonly Observed Distributions of Financial and Economic Data," Working Papers 1912, New School for Social Research, Department of Economics.
• Xuehai Zhang, 2019. "Value at Risk and Expected Shortfall under General Semi-parametric GARCH models," Working Papers CIE 123, Paderborn University, CIE Center for International Economics.
• Ray C. Fair, 2019. "Variable Mismeasurement in a Class of DSGE Models: Comment," Cowles Foundation Discussion Papers 2166R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.
• Thomas Despois & Catherine Doz, 2021. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," PSE Working Papers halshs-02235543, HAL.
• Tara M. Sinclair, 2019. "Continuities and Discontinuities in Economic Forecasting," Working Papers 2019-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
• Michael Weylandt & Yu Han & Katherine B. Ensor, 2019. "Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility," Papers 1907.10152, arXiv.org.
• Anne Opschoor & André Lucas, 2019. "Observation-driven Models for Realized Variances and Overnight Returns," Tinbergen Institute Discussion Papers 19-052/IV, Tinbergen Institute.
• Azam, Jean-Paul, 2019. "Let’s Call their Bluff: The Politics of Econometric Methodology," TSE Working Papers 19-1030, Toulouse School of Economics (TSE).
• Li, Yong & Wang, Nianling & Yu, Jun, 2019. "Improved Marginal Likelihood Estimation via Power Posteriors and Importance Sampling," Economics and Statistics Working Papers 16-2019, Singapore Management University, School of Economics.