Report NEP-ECM-2022-01-17

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.

Other reports in NEP-ECM

The following items were announced in this report:

• Joel L. Horowitz & Sokbae (Simon) Lee, 2021. "Inference in a class of optimization problems: Con?dence regions and ?nite sample bounds on errors in coverage probabilities," CeMMAP working papers CWP33/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Yukitoshi Matsushita & Taisuke Otsu & Keisuke Takahata, 2022. "Estimating density ratio of marginals to joint: Applications to causal inference," STICERD - Econometrics Paper Series 619, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• Lai Xinglin, 2021. "Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest," Papers 2111.15320, arXiv.org, revised Mar 2022.
• Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
• Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
• Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation of Average Derivatives in NPIV Models: Simulation Comparisons of Neural Network Estimators," Cowles Foundation Discussion Papers 2319, Cowles Foundation for Research in Economics, Yale University.
• Andrew Chesher & Dongwoo Kim & Adam Rosen, 2021. "IV methods for Tobit models," CeMMAP working papers CWP26/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Haitian Xie, 2021. "Uniform Convergence Results for the Local Linear Regression Estimation of the Conditional Distribution," Papers 2112.08546, arXiv.org, revised Jun 2023.
• Zhexiao Lin & Peng Ding & Fang Han, 2021. "Estimation based on nearest neighbor matching: from density ratio to average treatment effect," Papers 2112.13506, arXiv.org.
• Mike Gilraine & Jiaying Gu & Robert McMillan, 2022. "A Nonparametric Approach for Studying Teacher Impacts," Working Papers tecipa-716, University of Toronto, Department of Economics.
• Malikov, Emir & Zhao, Shunan, 2022. "On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI," 2022 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 7-9, 2022 316529, Agricultural and Applied Economics Association.
• Badunenko, Oleg & Henderson, Daniel J., 2021. "Production Analysis with Asymmetric Noise," MPRA Paper 110888, University Library of Munich, Germany.
• Martinez-Iriarte, Julian & Montes-Rojas, Gabriel & Sun, Yixiao, 2022. "Location-Scale and Compensated Effects in Unconditional Quantile Regressions," University of California at San Diego, Economics Working Paper Series qt89z1w74z, Department of Economics, UC San Diego.
• Pan, Jingwei, 2021. "Volatility and Dependence Models with Applications to U.S. Equity Markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 129944, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Kumar Yashaswi, 2021. "Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting," Papers 2112.03193, arXiv.org.
• Frank Schorfheide & Dongho Song, 2021. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," NBER Working Papers 29535, National Bureau of Economic Research, Inc.
• Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Papers 2112.03096, arXiv.org, revised Jan 2023.
• Pietro Emilio Spini, 2021. "Robustness, Heterogeneous Treatment Effects and Covariate Shifts," Papers 2112.09259, arXiv.org, revised Aug 2024.
• Christian Meyer, 2021. "Estimation of inter-sector asset correlations," Papers 2111.15204, arXiv.org.
• Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised Sep 2024.
• Elias Tsakas, 2021. "Identification of misreported beliefs," Papers 2112.12975, arXiv.org.
• Xiao Huang, 2021. "Lassoed Boosting and Linear Prediction in the Equities Market," Papers 2112.08934, arXiv.org, revised May 2024.
• Bryan T. Kelly & Semyon Malamud & Kangying Zhou, 2021. "The Virtue of Complexity in Machine Learning Portfolios," Swiss Finance Institute Research Paper Series 21-90, Swiss Finance Institute.