Report NEP-ECM-2019-06-17

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:

• Li, Z. M. & Laeven, R. J. A. & Vellekoop, M. H., 2019. "Dependent Microstructure Noise and Integrated Volatility: Estimation from High-Frequency Data," Cambridge Working Papers in Economics 1952, Faculty of Economics, University of Cambridge.
• Matteo Iacopini & Luca Rossini, 2019. "Bayesian nonparametric graphical models for time-varying parameters VAR," Papers 1906.02140, arXiv.org.
• George Kapetanios & Laura Serlenga & Yongcheol Shin, 2019. "Testing for Correlated Factor Loadings in Cross Sectionally Dependent Panels," SERIES 02-2019, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Jun 2019.
• Ivan Mendieta-Munoz & Mengheng Li, 2019. "The Multivariate Simultaneous Unobserved Compenents Model and Identification via Heteroskedasticity," Working Paper Series, Department of Economics, University of Utah 2019_06, University of Utah, Department of Economics.
• David Frazier & Bonsoo Koo, 2019. "Indirect Inference for Locally Stationary Models," Papers 1906.01768, arXiv.org, revised May 2020.
• Arthur Charpentier & Ndéné Ka & Stéphane Mussard & Oumar Hamady Ndiaye, 2019. "Gini Regressions and Heteroskedasticity," Post-Print hal-02131746, HAL.
• Nathaniel Tomasetti & Catherine Forbes & Anastasios Panagiotelis, 2019. "Updating Variational Bayes: Fast Sequential Posterior Inference," Monash Econometrics and Business Statistics Working Papers 13/19, Monash University, Department of Econometrics and Business Statistics.
• Nathan Canen & Kyungchul Song, 2019. "Counterfactual Analysis under Partial Identification Using Locally Robust Refinement," Papers 1906.00003, arXiv.org, revised Jan 2021.
• Andrew Bennett & Nathan Kallus & Tobias Schnabel, 2019. "Deep Generalized Method of Moments for Instrumental Variable Analysis," Papers 1905.12495, arXiv.org, revised Apr 2020.
• Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers of BETA 2019-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
• Steven E. Pav, 2019. "Conditional inference on the asset with maximum Sharpe ratio," Papers 1906.00573, arXiv.org, revised Dec 2019.
• Cl'ement de Chaisemartin & Jaime Ramirez-Cuellar, 2019. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," Papers 1906.00288, arXiv.org, revised Jun 2023.
• Laniado Rodas, Henry, 2019. "Shrinkage reweighted regression," DES - Working Papers. Statistics and Econometrics. WS 28500, Universidad Carlos III de Madrid. Departamento de Estadística.
• Rahul Singh & Maneesh Sahani & Arthur Gretton, 2019. "Kernel Instrumental Variable Regression," Papers 1906.00232, arXiv.org, revised Jul 2020.
• Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
• Tenglong Li & Kenneth A. Frank, 2019. "On the probability of a causal inference is robust for internal validity," Papers 1906.08726, arXiv.org.
• Bo Zhang & Jiti Gao & Guangming Pan, 2019. "A Near Unit Root Test for High-Dimensional Nonstationary Time Series," Monash Econometrics and Business Statistics Working Papers 10/19, Monash University, Department of Econometrics and Business Statistics.
• Hjalmarsson, Erik & Kiss, Tamás, 2019. "Testing Return Predictability with the Dividend-Growth Equation: An Anatomy of the Dog," Working Papers in Economics 768, University of Gothenburg, Department of Economics.
• Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
• Xue Guo & Hu Zhang & Tianhai Tian, 2019. "Multi-Likelihood Methods for Developing Stock Relationship Networks Using Financial Big Data," Papers 1906.08088, arXiv.org.
• Earo Wang & Dianne Cook & Rob J Hyndman, 2019. "A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data," Monash Econometrics and Business Statistics Working Papers 12/19, Monash University, Department of Econometrics and Business Statistics.
• Bruno Perdigão, 2019. "“Still" an Agnostic Procedure to Identify Monetary Policy Shocks with Sign Restrictions," Working Papers Series 494, Central Bank of Brazil, Research Department.
• Grätz, Michael, 2019. "When Less Conditioning Provides Better Estimates: Overcontrol and Collider Bias in Research on Intergenerational Mobility," Working Paper Series 2/2019, Stockholm University, Swedish Institute for Social Research.
• 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.
• Item repec:wrk:wrkemf:24 is not listed on IDEAS anymore

• Jef Boeckx & Maarten Dossche & Alessandro Galesi & Boris Hofmann & Gert Peersman, 2019. "Do SVARs with Sign Restrictions Not Identify Unconventional Monetary Policy Shocks?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/973, Ghent University, Faculty of Economics and Business Administration.
• Rom'an Salmer'on G'omez & Catalina Garc'ia Garc'ia y Jos'e Garc'ia P'erez, 2019. "Centered and non-centered variance inflation factor," Papers 1905.12293, arXiv.org.