Report NEP-ECM-2020-05-25

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:

• Rub'en Loaiza-Maya & Michael Stanley Smith & David J. Nott & Peter J. Danaher, 2020. "Fast and Accurate Variational Inference for Models with Many Latent Variables," Papers 2005.07430, arXiv.org, revised Apr 2021.
• Lavergne, Pascal & Bertail, Patrice, 2020. "Bootstrapping Quasi Likelihood Ratio Tests under Misspecification," TSE Working Papers 20-1102, Toulouse School of Economics (TSE).
• Zhaoxing Gao & Ruey S. Tsay, 2020. "Modeling High-Dimensional Unit-Root Time Series," Papers 2005.03496, arXiv.org, revised Aug 2020.
• Gary Koop & Dimitris Korobilis, 2020. "Bayesian dynamic variable selection in high dimensions," Working Papers 2020_11, Business School - Economics, University of Glasgow.
• Arthur Lewbel & Jin-Young Choi & Zhuzhu Zhou, 2019. "Over-Identified Doubly Robust Identification and Estimation," Boston College Working Papers in Economics 1003, Boston College Department of Economics, revised 15 Jan 2022.
• Shujie Ma & Liangjun Su & Yichong Zhang, 2020. "Detecting Latent Communities in Network Formation Models," Papers 2005.03226, arXiv.org, revised Mar 2021.
• Benjamin Avanzi & Gregory Clive Taylor & Phuong Anh Vu & Bernard Wong, 2020. "On unbalanced data and common shock models in stochastic loss reserving," Papers 2005.03500, arXiv.org, revised May 2020.
• Dieter Wang & Julia Schaumburg, 2020. "Smooth marginalized particle filters for dynamic network effect models," Tinbergen Institute Discussion Papers 20-023/III, Tinbergen Institute.
• Michael Gilraine & Jiaying Gu & Robert McMillan, 2020. "A New Method for Estimating Teacher Value-Added," NBER Working Papers 27094, National Bureau of Economic Research, Inc.
• Michele Leonardo Bianchi & Asmerilda Hitaj & Gian Luca Tassinari, 2020. "Multivariate non-Gaussian models for financial applications," Papers 2005.06390, arXiv.org.
• Marie-Claude Beaulieu & Jean-Marie Dufour & Lynda Khalaf, 2020. "Arbitrage Pricing, Weak Beta, Strong Beta: Identification-Robust and Simultaneous Inference," CIRANO Working Papers 2020s-30, CIRANO.
• Arthur Lewbel, 2020. "Kotlarski with a Factor Loading," Boston College Working Papers in Economics 1001, Boston College Department of Economics, revised 15 Dec 2020.
• Christian GOURIEROUX & Joann JASIAK, 2020. "Time Varying Markov Process with Partially Observed Aggregate Data; An Application to Coronavirus," Working Papers 2020-11, Center for Research in Economics and Statistics, revised 08 May 2020.
• Christoph Rothe, 2020. "Combining Population and Study Data for Inference on Event Rates," Papers 2005.06769, arXiv.org.
• Mateusz Buczyński & Marcin Chlebus, 2020. "Size does matter. A study on the required window size for optimal quality market risk models," Working Papers 2020-09, Faculty of Economic Sciences, University of Warsaw.
• 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.
• Huntington-Klein, Nick & Arenas, Andreu & Beam, Emily & Bertoni, Marco & Bloem, Jeffrey R. & Burli, Pralhad & Chen, Naibin & Greico, Paul & Ekpe, Godwin & Pugatch, Todd & Saavedra, Martin & Stopnitzky, 2020. "The Influence of Hidden Researcher Decisions in Applied Microeconomics," GLO Discussion Paper Series 537, Global Labor Organization (GLO).
• Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
• Arthur Lewbel & Xi Qu & Xun Tang, 2019. "Social Networks with Unobserved Links," Boston College Working Papers in Economics 1004, Boston College Department of Economics, revised 15 Jul 2022.
• Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.