Report NEP-ECM-2023-09-04

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:

• Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jan 2025.
• Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Completion without Sample Splitting with Application to Treatment Effect Estimation," Papers 2307.16370, arXiv.org.
• Xiao Huang, 2023. "Composite Quantile Factor Model," Papers 2308.02450, arXiv.org, revised Nov 2024.
• Francesco Angelini & Massimiliano Castellani & Simone Giannerini & Greta Goracci, 2023. "Testing for Threshold Effects in Presence of Heteroskedasticity and Measurement Error with an application to Italian Strikes," Papers 2308.00444, arXiv.org.
• Shahnaz Parsaeian, 2023. "Structural Breaks in Seemingly Unrelated Regression Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202308, University of Kansas, Department of Economics.
• Lin Deng & Michael Stanley Smith & Worapree Maneesoonthorn, 2023. "Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns," Papers 2308.05564, arXiv.org, revised Jul 2024.
• Jiang, Binyan & Li, Jialiang & Yao, Qiwei, 2023. "Autoregressive networks," LSE Research Online Documents on Economics 119983, London School of Economics and Political Science, LSE Library.
• Gary Chamberlain, 2023. "Identification in dynamic binary choice models," CeMMAP working papers 16/23, Institute for Fiscal Studies.
• Rainey, Carlisle, 2023. "Hypothesis Tests Under Separation," SocArXiv bmvnu, Center for Open Science.
• David T. Frazier & Ryan Covey & Gael M. Martin & Donald Poskitt, 2023. "Solving the Forecast Combination Puzzle," Papers 2308.05263, arXiv.org.
• Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
• Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
• Daniel Freund & Samuel B. Hopkins, 2023. "Towards Practical Robustness Auditing for Linear Regression," Papers 2307.16315, arXiv.org.
• Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
• Defever, F. & Riaño, A., 2022. "Firm-Destination Heterogeneity and the Distribution of Export Intensity," Working Papers 22/01, Department of Economics, City University London.
• Gao, Yuhe & Shi, Chengchun & Song, Rui, 2023. "Deep spectral Q-learning with application to mobile health," LSE Research Online Documents on Economics 119445, London School of Economics and Political Science, LSE Library.
• Clifford, Scott & Rainey, Carlisle, 2023. "Estimators for Topic-Sampling Designs," SocArXiv 7ady6, Center for Open Science.
• Magnus Wiese & Phillip Murray & Ralf Korn, 2023. "Sig-Splines: universal approximation and convex calibration of time series generative models," Papers 2307.09767, arXiv.org.
• Tony Chernis, 2023. "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers 23-45, Bank of Canada.
• Satyam Kumar & Yelleti Vivek & Vadlamani Ravi & Indranil Bose, 2023. "Causal Inference for Banking Finance and Insurance A Survey," Papers 2307.16427, arXiv.org.
• Koen Jochmans, 2023. "Peer effects and endogenous social interactions," Post-Print hal-04164668, HAL.
• Brendon McConnell, 2023. "What's Logs Got to do With it: On the Perils of log Dependent Variables and Difference-in-Differences," Papers 2308.00167, arXiv.org, revised Aug 2023.
• Shi, Chengchun & Luo, Shikai & Le, Yuan & Zhu, Hongtu & Song, Rui, 2022. "Statistically efficient advantage learning for offline reinforcement learning in infinite horizons," LSE Research Online Documents on Economics 115598, London School of Economics and Political Science, LSE Library.
• Charles F. Manski & Aleksey Tetenov, 2023. "Statistical Decision Theory Respecting Stochastic Dominance," Papers 2308.05171, arXiv.org.
• Chen Tong & Peter Reinhard Hansen, 2023. "Characterizing Correlation Matrices that Admit a Clustered Factor Representation," Papers 2308.05895, arXiv.org.
• Alfredo García-Hiernaux & María T. González-Pérez & David E. Guerrero, 2023. "How to measure inFLAtion volatility. A note," Working Papers 2314, Banco de España.
• Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2023. "Money Growth and Inflation: A Quantile Sensitivity Approach," Papers 2308.05486, arXiv.org, revised Nov 2023.