Semiparametrically efficient estimation of the average linear regression function
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- Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
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Cited by:
- Whitney K. Newey & Sami Stouli, 2018.
"Heterogenous Coefficients, Discrete Instruments, and Identification of Treatment Effects,"
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- Whitney K. Newey & Sami Stouli, 2018. "Heterogenous coefficients, discrete instruments, and identification of treatment effects," CeMMAP working papers CWP66/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019.
"Semi-Parametric Efficient Policy Learning with Continuous Actions,"
CeMMAP working papers
CWP34/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019. "Semi-Parametric Efficient Policy Learning with Continuous Actions," Papers 1905.10116, arXiv.org, revised Jul 2019.
- Ohanisian Alina & Levchenko Nataliia & Shyshkanova Ganna & Abuselidze George & Prykhodko Volodymyr & Banchuk-Petrosova Olena, 2022. "Organic farms are the fundamental basis for the sustainable foreign economic activities of agrarians in Ukraine," Environmental & Socio-economic Studies, Sciendo, vol. 10(2), pages 49-61, June.
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"Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights,"
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Biometrika, Biometrika Trust, vol. 109(3), pages 865-872.
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- Winkelmann Rainer, 2024. "Neglected Heterogeneity, Simpson’s Paradox, and the Anatomy of Least Squares," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 131-144, January.
- Stijn Vansteelandt & Oliver Dukes, 2022. "Assumption‐lean inference for generalised linear model parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 657-685, July.
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- Rainer Winkelmann, 2023. "Neglected heterogeneity, Simpson’s paradox, and the anatomy of least squares," ECON - Working Papers 426, Department of Economics - University of Zurich, revised Jul 2023.
- Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.
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More about this item
Keywords
Conditional Linear Predictor; Causal Inference; Average Treatment Effect; Propensity Score; Semiparametric Efficiency; Semiparametric Regression;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ORE-2019-02-18 (Operations Research)
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