Report NEP-ECM-2024-09-23

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:

• Ying Zeng, 2024. "Estimation and Inference of Average Treatment Effect in Percentage Points under Heterogeneity," Papers 2408.06624, arXiv.org.
• Stephan Hetzenecker & Maximilian Osterhaus, 2024. "Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models," Papers 2408.09560, arXiv.org.
• Wenjie Wang & Yichong Zhang, 2024. "Gradient Wild Bootstrap for Instrumental Variable Quantile Regressions with Weak and Few Clusters," Papers 2408.10686, arXiv.org.
• Alexander Mayer & Dominik Wied, 2024. "Endogeneity Corrections in Binary Outcome Models with Nonlinear Transformations: Identification and Inference," Papers 2408.06977, arXiv.org, revised Nov 2024.
• Cong Wang, 2024. "Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis," Papers 2408.09271, arXiv.org, revised Sep 2024.
• Abhinandan Dalal & Patrick Blobaum & Shiva Kasiviswanathan & Aaditya Ramdas, 2024. "Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters," Papers 2408.09598, arXiv.org, revised Sep 2024.
• Lucas Zhang, 2024. "Continuous difference-in-differences with double/debiased machine learning," Papers 2408.10509, arXiv.org.
• Guanghui Pan, 2024. "Methodological Foundations of Modern Causal Inference in Social Science Research," Papers 2408.00032, arXiv.org.
• Bhattacharjee, A. & Ditzen, J., & Holly, S., 2024. "Engle-Granger Representation in Spatial and Spatio-Temporal Models," Cambridge Working Papers in Economics 2447, Faculty of Economics, University of Cambridge.
• Harvey, A. & Simons, J., 2024. "Hidden Threshold Models with applications to asymmetric cycles," Cambridge Working Papers in Economics 2448, Faculty of Economics, University of Cambridge.
• Karch, Julian D. & Perez-Alonso, Andres F. & Bergsma, Wicher P., 2024. "Beyond Pearson’s correlation: modern nonparametric independence tests for psychological research," LSE Research Online Documents on Economics 124587, London School of Economics and Political Science, LSE Library.
• Zhang, Junyi & Dassios, Angelos, 2024. "Posterior sampling from truncated Ferguson-Klass representation of normalised completely random measure mixtures," LSE Research Online Documents on Economics 122228, London School of Economics and Political Science, LSE Library.
• Kerwin, Jason & Rostom, Nada & Sterck, Olivier, 2024. "Striking the Right Balance: Why Standard Balance Tests Over-Reject the Null, and How to Fix It," IZA Discussion Papers 17217, Institute of Labor Economics (IZA).
• Adam Dearing & Lorenzo Magnolfi & Daniel Quint & Christopher J. Sullivan & Sarah B. Waldfogel, 2024. "Learning Firm Conduct: Pass-Through as a Foundation for Instrument Relevance," NBER Working Papers 32863, National Bureau of Economic Research, Inc.
• Meyer-Gohde, Alexander, 2024. "Solving and analyzing DSGE models in the frequency domain," IMFS Working Paper Series 207, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Zitian Gao & Yihao Xiao, 2024. "Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method," Papers 2408.09420, arXiv.org, revised Aug 2024.
• Parvin Malekzadeh & Zissis Poulos & Jacky Chen & Zeyu Wang & Konstantinos N. Plataniotis, 2024. "EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning," Papers 2408.12446, arXiv.org, revised Aug 2024.
• Soren Bettels & Stefan Weber, 2024. "An Integrated Approach to Importance Sampling and Machine Learning for Efficient Monte Carlo Estimation of Distortion Risk Measures in Black Box Models," Papers 2408.02401, arXiv.org.
• Cameron Cornell & Lewis Mitchell & Matthew Roughan, 2024. "Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression," Papers 2408.12210, arXiv.org.