Report NEP-ECM-2024-08-26

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:

• Patrick Ding & Guido Imbens & Zhaonan Qu & Yinyu Ye, 2024. "Computationally Efficient Estimation of Large Probit Models," Papers 2407.09371, arXiv.org, revised Sep 2024.
• Undral Byambadalai & Tatsushi Oka & Shota Yasui, 2024. "Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction," Papers 2407.16037, arXiv.org.
• Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "Nonlinear Binscatter Methods," Staff Reports 1110, Federal Reserve Bank of New York.
• Katerina Chrysikou & George Kapetanios, 2024. "Heterogeneous Grouping Structures in Panel Data," Papers 2407.19509, arXiv.org.
• Malte Londschien & Peter Buhlmann, 2024. "Weak-instrument-robust subvector inference in instrumental variables regression: A subvector Lagrange multiplier test and properties of subvector Anderson-Rubin confidence sets," Papers 2407.15256, arXiv.org, revised Nov 2024.
• Zhengyu Zhang & Zequn Jin & Lihua Lin, 2024. "Identification and inference of outcome conditioned partial effects of general interventions," Papers 2407.16950, arXiv.org.
• Zhang, Siliang & Chen, Yunxiao, 2024. "A note on Ising network analysis with missing data," LSE Research Online Documents on Economics 123984, London School of Economics and Political Science, LSE Library.
• Shi, Chengchun & Zhou, Yunzhe & Li, Lexin, 2023. "Testing directed acyclic graph via structural, supervised and generative adversarial learning," LSE Research Online Documents on Economics 119446, London School of Economics and Political Science, LSE Library.
• Florian Huber & Gary Koop & Massimiliano Marcellino & Tobias Scheckel, 2024. "Bayesian modelling of VAR precision matrices using stochastic block networks," Papers 2407.16349, arXiv.org.
• Susana Campos-Martins & Cristina Amado, 2023. "Modelling causality in nonstationary variances with an application to carbon markets," NIPE Working Papers 13/2023, NIPE - Universidade do Minho.
• Yong Li & Sushanta K. Mallick & Nianling Wang & Jun Yu & Tao Zeng, 2024. "Deviance Information Criterion for Model Selection:Theoretical Justification and Applications," Working Papers 202415, University of Macau, Faculty of Business Administration.
• Li, Jie & Fearnhead, Paul & Fryzlewicz, Piotr & Wang, Tengyao, 2024. "Automatic change-point detection in time series via deep learning," LSE Research Online Documents on Economics 120083, London School of Economics and Political Science, LSE Library.
• Martin Bruns & Helmut Lütkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Procy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 2095, DIW Berlin, German Institute for Economic Research.
• Yiqing Xu & Anqi Zhao & Peng Ding, 2024. "Factorial Difference-in-Differences," Papers 2407.11937, arXiv.org, revised Jan 2025.
• Astill, Sam & Harvey, David I & Leybourne, Stephen J & Taylor, AM Robert, 2024. "Bonferroni-Type Tests for Return Predictability with Possibly Trending Predictors," Essex Finance Centre Working Papers 38947, University of Essex, Essex Business School.
• Agnes Norris Keiller & Áureo de Paula & John Van Reenen, 2024. "Production Function Estimation Using Subjective Expectations Data," NBER Working Papers 32725, National Bureau of Economic Research, Inc.
• Shuze Chen & David Simchi-Levi & Chonghuan Wang, 2024. "Experimenting on Markov Decision Processes with Local Treatments," Papers 2407.19618, arXiv.org, revised Oct 2024.
• Gabriel Montes-Rojas & Zacharias Psaradakis & Martín Sola, 2024. "On Regime Separation in Markov-Switching Quantile Regressions," Department of Economics Working Papers 2024_05, Universidad Torcuato Di Tella.
• Jason R. Blevins, 2024. "Leveraging Uniformization and Sparsity for Computation of Continuous Time Dynamic Discrete Choice Games," Papers 2407.14914, arXiv.org.
• Devang Sinha & Siddhartha P. Chakrabarty, 2024. "Multilevel Monte Carlo in Sample Average Approximation: Convergence, Complexity and Application," Papers 2407.18504, arXiv.org.
• Jaeho Kim & Scott C. Linn & Sora Chon, 2024. "Price Discovery via Long-run Forecast," Inha University IBER Working Paper Series 2024-2, Inha University, Institute of Business and Economic Research.
• Anders Bredahl Kock & David Preinerstorfer, 2024. "Enhanced power enhancements for testing many moment equalities: Beyond the $2$- and $\infty$-norm," Papers 2407.17888, arXiv.org, revised Oct 2024.