Report NEP-ECM-2021-01-25

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:

• Andrea A. Naghi & Máté Váradi & Mikhail Zhelonkin, 2021. "Robust Estimation of Probit Models with Endogeneity," Tinbergen Institute Discussion Papers 21-004/III, Tinbergen Institute.
• Joshua C.C. Chan & Xuewen Yu, 2020. "Fast and accurate variational inference for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2020-108, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Yiyan Huang & Cheuk Hang Leung & Xing Yan & Qi Wu & Nanbo Peng & Dongdong Wang & Zhixiang Huang, 2020. "The Causal Learning of Retail Delinquency," Papers 2012.09448, arXiv.org.
• Item repec:kan:wpaper:202105 is not listed on IDEAS anymore

• Laura Liu & Mikkel Plagborg-M{o}ller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," Papers 2101.04771, arXiv.org, revised Jun 2022.
• Daniel Fehrle & Christopher Heiberger & Johannes Huber, 2020. "Polynomial chaos expansion: Efficient evaluation and estimation of computational models," Discussion Paper Series 341, Universitaet Augsburg, Institute for Economics.
• Shoya Ishimaru, 2021. "Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects," Papers 2101.04346, arXiv.org, revised Jun 2022.
• Andrew Bennett & Nathan Kallus, 2020. "The Variational Method of Moments," Papers 2012.09422, arXiv.org, revised Mar 2023.
• Zongwu Cai & Xiyuan Liu, 2021. "Solving the Price Puzzle Via A Functional Coefficient Factor-Augmented VAR Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202106, University of Kansas, Department of Economics, revised Jan 2021.
• Li, Chenxing & Maheu, John M, 2020. "A Multivariate GARCH-Jump Mixture Model," MPRA Paper 104770, University Library of Munich, Germany.
• Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
• Shane Lubold & Arun G. Chandrasekhar & Tyler H. McCormick, 2020. "Identifying the Latent Space Geometry of Network Models through Analysis of Curvature," NBER Working Papers 28273, National Bureau of Economic Research, Inc.
• 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.
• Pacifico, Antonio, 2020. "A Two-step System for Hierarchical Bayesian Dynamic Panel Data to deal with Endogeneity Issues, Structural Model Uncertainty, and Causal Relationship," MPRA Paper 104291, University Library of Munich, Germany.
• Marinho Bertanha, 2021. "Regression Discontinuity Design with Many Thresholds," Papers 2101.01245, arXiv.org.
• Arnab Bhattacharjee & Jan Ditzen & Sean Holly, 2021. "Spatial and Spatio-temporal Error Correction, Networks and Common Correlated Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS76, Faculty of Economics and Management at the Free University of Bozen.
• Pacifico, Antonio, 2020. "Structural Panel Bayesian VAR with Multivariate Time-varying Volatility to jointly deal with Structural Changes, Policy Regime Shifts, and Endogeneity Issues," MPRA Paper 104292, University Library of Munich, Germany.
• Daniel Borup & David E. Rapach & Erik Christian Montes Schütte, 2021. "Now- and Backcasting Initial Claims with High-Dimensional Daily Internet Search-Volume Data," CREATES Research Papers 2021-02, Department of Economics and Business Economics, Aarhus University.
• Giuseppe De Luca & Jan R. Magnus, 2021. "Weak versus strong dominance of shrinkage estimators," Tinbergen Institute Discussion Papers 21-007/III, Tinbergen Institute.
• Mariia Artemova & Francisco Blasques & Siem Jan Koopman & Zhaokun Zhang, 2021. "Forecasting in a changing world: from the great recession to the COVID-19 pandemic," Tinbergen Institute Discussion Papers 21-006/III, Tinbergen Institute.
• Bruno P. C. Levy & Hedibert F. Lopes, 2021. "Dynamic Ordering Learning in Multivariate Forecasting," Papers 2101.04164, arXiv.org, revised Nov 2021.
• Kentaro Imajo & Kentaro Minami & Katsuya Ito & Kei Nakagawa, 2020. "Deep Portfolio Optimization via Distributional Prediction of Residual Factors," Papers 2012.07245, arXiv.org.
• Jos'e E. Figueroa-L'opez & Ruoting Gong & Yuchen Han, 2021. "Estimation of Tempered Stable L\'{e}vy Models of Infinite Variation," Papers 2101.00565, arXiv.org, revised Feb 2022.
• Mattia Guerini & Patrick Musso & Lionel Nesta, 2020. "Estimation of threshold distributions for market participation," Working Papers halshs-03040260, HAL.
• Hilde Christiane Bjørnland & Roberto Casarin & Marco Lorusso & Francesco Ravazzolo, 2020. "Oil and Fiscal Policy Regimes," Working Papers No 11/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• Marinho Bertanha & Andrew H. McCallum & Nathan Seegert, 2021. "Better Bunching, Nicer Notching," Papers 2101.01170, arXiv.org, revised Jun 2023.