Printed from https://ideas.repec.org/n/nep-ecm/2025-08-18.html
Report NEP-ECM-2025-08-18
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ECM
The following items were announced in this report:
- Zeqi Wu & Meilin Wang & Wei Huang & Zheng Zhang, 2025, "A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting," Papers, arXiv.org, number 2507.04044, Jul.
- Jianhua Mei & Fu Ouyang & Thomas T. Yang, 2025, "Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference," Papers, arXiv.org, number 2507.22312, Jul, revised Oct 2025.
- Giuseppe Cavaliere & Adam McCloskey & Rasmus S. Pedersen & Anders Rahbek, 2025, "Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems," Papers, arXiv.org, number 2507.19603, Jul.
- Otilia Boldea & Alastair R. Hall, 2025, "Testing for multiple change-points in macroeconometrics: an empirical guide and recent developments," Papers, arXiv.org, number 2507.22204, Jul.
- Sung Hoon Choi & Donggyu Kim, 2025, "Low-Rank Structured Nonparametric Prediction of Instantaneous Volatility," Papers, arXiv.org, number 2507.22173, Jul.
- Justin Whitehouse & Morgane Austern & Vasilis Syrgkanis, 2025, "Inference on Optimal Policy Values and Other Irregular Functionals via Smoothing," Papers, arXiv.org, number 2507.11780, Jul.
- Joel L. Horowitz & Sokbae Lee, 2025, "Binary classification with the maximum score model and linear programming," CeMMAP working papers, Institute for Fiscal Studies, number 16/25, Aug, DOI: 10.47004/wp.cem.2025.1625.
- Goel, Deepti, 2025, "Estimator of What? A Note on Teaching Regressions in Introductory Econometrics," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1646.
- Andrei Voronin, 2025, "Generalized Optimal Transport," Papers, arXiv.org, number 2507.22422, Jul.
- Bingqi Liu & Kangqiang Li & Tianxiao Pang, 2025, "Bayesian Smoothed Quantile Regression," Papers, arXiv.org, number 2508.01738, Aug, revised Jan 2026.
- Melody Huang & Cory McCartan, 2025, "Relative Bias Under Imperfect Identification in Observational Causal Inference," Papers, arXiv.org, number 2507.23743, Jul.
- Chakattrai Sookkongwaree & Tattep Lakmuang & Chainarong Amornbunchornvej, 2025, "Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies," Papers, arXiv.org, number 2508.00658, Aug.
- Chengwang Liao & Zhentao Shi & Yapeng Zheng, 2025, "A Relaxation Approach to Synthetic Control," Papers, arXiv.org, number 2508.01793, Aug.
- Sebastian Calónico & Sebastian Galiani, 2025, "Beyond Bonferroni: Hierarchical Multiple Testing in Empirical Research," NBER Working Papers, National Bureau of Economic Research, Inc, number 34050, Jul.
- Zequn Jin & Gaoqian Xu & Xi Zheng & Yahong Zhou, 2025, "Policy Learning under Unobserved Confounding: A Robust and Efficient Approach," Papers, arXiv.org, number 2507.20550, Jul.
- James A. Duffy & Xiyu Jiao, 2025, "Inference on Common Trends in a Cointegrated Nonlinear SVAR," Papers, arXiv.org, number 2507.22869, Jul.
- MartÃn Almuzara & Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2025, "Nonlinear micro income processes with macro shocks," CeMMAP working papers, Institute for Fiscal Studies, number 17/25, Aug, DOI: 10.47004/wp.cem.2025.1725.
- Raanan Sulitzeanu-Kenan & Micha Mandel & Yosef Rinott, 2025, "Anchoring-Based Causal Design (ABCD): Estimating the Effects of Beliefs," Papers, arXiv.org, number 2508.01677, Aug.
- Silva Lopes, Artur, 2025, "Introduction to the Univariate Analysis of Trends in Economic Time Series," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 323383.
- Austin Feng & Francesco Ruggieri, 2025, "Structural Extrapolation in Regression Discontinuity Designs with an Application to School Expenditure Referenda," Papers, arXiv.org, number 2508.02658, Aug.
- Pablo Quintana & Marcos Herrera-Gómez, 2025, "Redefining Regions in Space and Time: A Deep Learning Method for Spatio-Temporal Clustering," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 368, Aug.
- Lee, Yongseok & Leite, Walter, 2025, "Enhancing Propensity Score Analysis with data Missing Not at Random: Introducing Dual-Forest Proximity Imputation," OSF Preprints, Center for Open Science, number ex8ad_v1, Jul, DOI: 10.31219/osf.io/ex8ad_v1.
- Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2025, "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," Papers, arXiv.org, number 2508.02310, Aug.