Report NEP-ECM-2026-04-20

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:

• Jiawei Fu & Donald P. Green, 2026, "Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes," Papers, arXiv.org, number 2604.08681, Apr, revised Apr 2026.
• Lucas Girard & Elia Lapenta, 2026, "Average Marginal Effects in One-Step Partially Linear Instrumental Regressions," Papers, arXiv.org, number 2604.11393, Apr.
• Lixiong Li, 2026, "Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination," Papers, arXiv.org, number 2604.10770, Apr.
• Jiyuan Tan & Jose Blanchet & Vasilis Syrgkanis, 2026, "Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport," Papers, arXiv.org, number 2604.12263, Apr, revised Apr 2026.
• Nan Liu & Yanbo Liu & Yuya Sasaki & Yuanyuan Wan, 2026, "Root-$n$ Asymptotically Normal Maximum Score Estimation," Papers, arXiv.org, number 2604.13399, Apr.
• Harold D. Chiang & Ahnaf Rafi, 2026, "Gaussian approximation for maximum score and non-smooth M-estimators with multiway dependence," Papers, arXiv.org, number 2604.10232, Apr.
• Anna Bykhovskaya & Nour Meddahi, 2026, "Generalized Autoregressive Multivariate Models: From Binary to Poisson," Papers, arXiv.org, number 2604.14394, Apr.
• Marcell T. Kurbucz, 2026, "Identification of Latent Group Effects under Conditional Calibration," Papers, arXiv.org, number 2604.08798, Apr.
• Michael C. Knaus & Henri Pfleiderer, 2026, "Causal Graphs for Conditional Parallel Trends," Papers, arXiv.org, number 2604.12818, Apr.
• Bidoia, M. & Harvey, A. & Palumbo, D., 2026, "Dynamic Models for Climate Extremes," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2620, Mar.
• Ecenur Oguz & Robert L. Bray, 2026, "Training Neural Networks Embedded in Dynamic Discrete Choice Models," Papers, arXiv.org, number 2604.09736, Apr.
• Daouia, Abdelaati & Laurent, Thibault, 2026, "Robust Frontier and Efficiency Analysis with frontiles," TSE Working Papers, Toulouse School of Economics (TSE), number 26-1731, Apr.
• Dolling, Carl, 2026, "A Comparative Evaluation of Multiple Hypothesis Testing Adjustment Methods," MetaArXiv, Center for Open Science, number d3svb_v1, Apr, DOI: 10.31219/osf.io/d3svb_v1.
• Johannes Bleher & Claudia Tarantola, 2026, "A Bayes-Factor-Guided Approach to Post-Double Selection with Bootstrapped Multiple Imputation," Papers, arXiv.org, number 2604.12783, Apr, revised Apr 2026.
• Younghoon Kim & Changryong Baek, 2026, "Latent community paths in VAR-type models via dynamic directed spectral co-clustering," Papers, arXiv.org, number 2604.12563, Apr.
• Hilde C. Bjornland & Nicolas Hardy & Dimitris Korobilis, 2026, "Forecasting Oil Prices Across the Distribution: A Quantile VAR Approach," Papers, arXiv.org, number 2604.12927, Apr.
• Paul Goldsmith-Pinkham, 2026, "Tracking the Credibility Revolution across Fields," NBER Working Papers, National Bureau of Economic Research, Inc, number 35051, Apr.
• Deniz Dutz & Morten Håvarstein & Magne Mogstad & Alexander Torgovitsky, 2026, "Identification and Estimation of Labor Supply Elasticities from Kinked Budget Sets," NBER Working Papers, National Bureau of Economic Research, Inc, number 35047, Apr.