Report NEP-ECM-2023-08-14

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:

• Ruben Loaiza-Maya & Didier Nibbering & Dan Zhu, 2023. "Hybrid unadjusted Langevin methods for high-dimensional latent variable models," Papers 2306.14445, arXiv.org.
• Yiren Wang & Peter C. B. Phillips & Liangjun Su, 2023. "Panel Data Models with Time-Varying Latent Group Structures," Cowles Foundation Discussion Papers 2364, Cowles Foundation for Research in Economics, Yale University.
• Qiying Wang & Peter C. B. Phillips & Ying Wang, 2023. "New asymptotics applied to functional coefficient regression and climate sensitivity analysis," Cowles Foundation Discussion Papers 2365, Cowles Foundation for Research in Economics, Yale University.
• Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Demand Estimation with Infrequent Purchases and Small Market Sizes," Cowles Foundation Discussion Papers 2313R2, Cowles Foundation for Research in Economics, Yale University, revised Jun 2023.
• Anish Agarwal & Keegan Harris & Justin Whitehouse & Zhiwei Steven Wu, 2023. "Adaptive Principal Component Regression with Applications to Panel Data," Papers 2307.01357, arXiv.org, revised Aug 2024.
• Michael Bates & Seolah Kim, 2023. "Estimating the price elasticity of gasoline demand in correlated random coefficient models with endogeneity," German Stata Conference 2023 04, Stata Users Group.
• Tobias Fissler & Marc-Oliver Pohle, 2023. "Generalised Covariances and Correlations," Papers 2307.03594, arXiv.org, revised Sep 2023.
• Harsh Parikh & Marco Morucci & Vittorio Orlandi & Sudeepa Roy & Cynthia Rudin & Alexander Volfovsky, 2023. "A Double Machine Learning Approach to Combining Experimental and Observational Data," Papers 2307.01449, arXiv.org, revised Apr 2024.
• Daniel Haanwinckel, 2023. "Does regional variation in wage levels identify the effects of a national minimum wage?," Papers 2307.01284, arXiv.org, revised Nov 2024.
• Òscar Jordà, 2023. "Local Projections for Applied Economics," Working Paper Series 2023-16, Federal Reserve Bank of San Francisco.
• Martin Karlsson & Yulong Wang & Nicolas R. Ziebarth, 2023. "Getting the Right Tail Right: Modeling Tails of Health Expenditure Distributions," NBER Working Papers 31444, National Bureau of Economic Research, Inc.
• Bauwens, Luc & Xu, Yongdeng, 2023. "The contribution of realized covariance models to the economic value of volatility timing," Cardiff Economics Working Papers E2023/20, Cardiff University, Cardiff Business School, Economics Section.
• Ioanna-Yvonni Tsaknaki & Fabrizio Lillo & Piero Mazzarisi, 2023. "Online Learning of Order Flow and Market Impact with Bayesian Change-Point Detection Methods," Papers 2307.02375, arXiv.org, revised May 2024.
• Nathan Canen & Kyungchul Song, 2023. "Synthetic Decomposition for Counterfactual Predictions," Papers 2307.05122, arXiv.org, revised Jan 2025.
• Manuel de Mier & Fernando Delbianco & Fernando Tohmé & Luisina Patrizio & Facundo Rodriguez & Mauro Romero Stéfani, 2023. "Causality by Vote: Aggregating Evidence on Causal Relations in Economic Growth Processes," Working Papers 260, Red Nacional de Investigadores en Economía (RedNIE).
• Alejandro Rodriguez Dominguez & Irving Ramirez Carrillo & David Parraga Riquelme, 2023. "Measuring Cause-Effect with the Variability of the Largest Eigenvalue," Papers 2307.04953, arXiv.org, revised Jul 2023.
• Giuseppe Cavaliere & Thomas Mikosch & Anders Rahbek & Frederik Vilandt, 2023. "Asymptotics for the Generalized Autoregressive Conditional Duration Model," Papers 2307.01779, arXiv.org.
• Luca Benati & Thomas A. Lubik, 2023. "Impulse Response Analysis at the Zero Lower Bound," Diskussionsschriften dp2306, Universitaet Bern, Departement Volkswirtschaft.
• Deniz Erdemlioglu & Christopher J. Neely & Xiye Yang, 2023. "Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications," Working Papers 2023-016, Federal Reserve Bank of St. Louis.