Report NEP-ECM-2021-03-22

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:

• Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
• Michael Pfarrhofer, 2021. "Modeling tail risks of inflation using unobserved component quantile regressions," Papers 2103.03632, arXiv.org, revised Oct 2021.
• Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
• Tommaso Proietti & Diego J. Pedregal, 2021. "Seasonality in High Frequency Time Series," CEIS Research Paper 508, Tor Vergata University, CEIS, revised 11 Mar 2021.
• Martin Feldkircher & Florian Huber & Gary Koop & Michael Pfarrhofer, 2021. "Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs," Papers 2103.04944, arXiv.org, revised Feb 2022.
• Dan'ubia R. Cunha & Jose A. Divino & Helton Saulo, 2021. "On a log-symmetric quantile tobit model applied to female labor supply data," Papers 2103.04449, arXiv.org.
• Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2021. "Extremal points of Lorenz curves and applications to inequality analysis," Papers 2103.03286, arXiv.org.
• Emmanuel Selorm Tsyawo, 2021. "Feasible IV Regression without Excluded Instruments," Papers 2103.09621, arXiv.org, revised Nov 2022.
• Harvey, A. & Palumbo, D., 2021. "Regime switching models for directional and linear observations," Cambridge Working Papers in Economics 2123, Faculty of Economics, University of Cambridge.
• Baishuai Zuo & Chuancun Yin, 2021. "Multivariate tail covariance for generalized skew-elliptical distributions," Papers 2103.05201, arXiv.org.
• PINSHI, Christian P., 2021. "Repenser le modèle à correction d’erreurs dans l’analyse macroéconométrique : Une revue [Rethinking the Error Correction Model in Macroeconometric Analysis: A Review]," MPRA Paper 106694, University Library of Munich, Germany.
• Alessia Paccagnini & Fabio Parla, 2021. "Identifying high-frequency shocks with Bayesian mixed-frequency VARs," CAMA Working Papers 2021-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Jin Li & Ye Luo & Xiaowei Zhang, 2021. "Causal Reinforcement Learning: An Instrumental Variable Approach," Papers 2103.04021, arXiv.org, revised Sep 2022.
• Philipp Bach & Victor Chernozhukov & Malte S. Kurz & Martin Spindler & Sven Klaassen, 2021. "DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R," Papers 2103.09603, arXiv.org, revised Jun 2024.
• Marin Drlje & Stepan Jurajda, 2021. "LATE Estimators under Costly Non-compliance in Student-College Matching Markets," CERGE-EI Working Papers wp686, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• 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.
• G'abor Papp & Imre Kondor & Fabio Caccioli, 2021. "Optimizing Expected Shortfall under an $\ell_1$ constraint -- an analytic approach," Papers 2103.04375, arXiv.org.
• Christian Conrad & Robert F. Engle, 2021. "Modelling Volatility Cycles: The (MF)2 GARCH Model," Working Paper series 21-05, Rimini Centre for Economic Analysis.
• Yuefeng Han & Rong Chen & Cun-Hui Zhang & Qiwei Yao, 2021. "Simultaneous Decorrelation of Matrix Time Series," Papers 2103.09411, arXiv.org, revised Oct 2022.