Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Panel Data Quantile Regression for Treatment Effect Models

Bibliographic Data

ID19420133
AuthorsTakuya Ishihara (0009-0008-9662-3451, Tohoku University, corresponding author)
Year2023
Volume41
Issue3
Pages720-736
Publication date2023-07-03
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2022.2061495
OpenAlexW4221135254
LanguageEN
References cited32

In this study, we develop a novel estimation method for quantile treatment effects (QTE) under rank invariance and rank stationarity assumptions. Ishihara (2020 Ishihara, T. (2020), “Identification and Estimation of Time-Varying Nonseparable Panel Data Models Without Stayers,” Journal of Econometrics, 215, 184–208. DOI: https://doi.org/10.1016/j.jeconom.2019.08.008.[Crossref] , [Google Scholar]) explores identification of the nonseparable panel data model under these assumptions and proposes a parametric estimation based on the minimum distance method. However, when the dimensionality of the covariates is large, the minimum distance estimation using this process is computationally demanding. To overcome this problem, we propose a two-step estimation method based on the quantile regression and minimum distance methods. We then show the uniform asymptotic properties of our estimator and the validity of the nonparametric bootstrap. The Monte Carlo studies indicate that our estimator performs well in finite samples. Finally, we present two empirical illustrations, to estimate the distributional effects of insurance provision on household production and TV watching on child cognitive development

Covariate · Curse of dimensionality · Econometrics · Economics · Estimation · Estimator · Monte Carlo method · Nonparametric statistics · Panel data · Parametric statistics · Quantile · Quantile regression · Statistics · Advanced Causal Inference Techniques · Computer Science · Mathematics · Spatial and Panel Data Analysis · Statistical Methods and Inference

  • Weak Convergence and Empirical Processes

    Open Access•Aad van der Vaart, Aad W van der Vaart et al.•Weak Convergence and Empirical…•1996

  • Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models

    Alberto Abadie•Journal of the American…•2002

  • Is universal child care leveling the playing field?

    Open Access•Tarjei Havnes, Magne Mogstad•Journal of Public Economics•2015

  • Multivariate regression models for panel data

    Open Access•Gary Chamberlain•Journal of Econometrics•1982

  • Efficient Semiparametric Estimation of Quantile Treatment Effects

    Open Access•Sergio Firpo•Econometrica•2007

  • Instrumental quantile regression inference for structural and treatment effect models

    Open Access•Victor Chernozhukov, Christian Hansen•Journal of Econometrics•2006

  • Identification and Inference in Nonlinear Difference-in-Differences Models

    Open Access•Susan Athey, Guido W Imbens•Econometrica•2006

  • An IV Model of Quantile Treatment Effects

    Open Access•Victor Chernozhukov, Christian Hansen•Econometrica•2005

  • Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

    Open Access•Alberto Abadie, Joshua D Angrist et al.•Econometrica•2002

  • Regression Quantiles

    Roger Koenker, Gilbert W Bassett et al.•Econometrica•1978

  • What Mean Impacts Miss

    Marianne Bitler, Marianne P Bitler et al.•American Economic Review•2006

  • Unconditional Quantile Treatment Effects Under Endogeneity

    Markus Frölich, Blaise Melly•Journal of Business and Economic…•2013

  • The Effects of 401(K) Participation on the Wealth Distribution

    Victor Chernozhukov, Christian Hansen•The Review of Economics and…•2004

  • Beyond the average effects

    Open Access•Christian Volpe Martincus, Jerónimo Carballo•Journal of Development Economics•2009

Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae