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DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | LEE, SOKBAE | en |
dc.contributor.author | OKUI, RYO | en |
dc.contributor.author | WHANG, YOON-JAE | en |
dc.date.accessioned | 2016-01-13T07:05:12Z | - |
dc.date.available | 2016-01-13T07:05:12Z | - |
dc.date.issued | 2016-01 | - |
dc.identifier.uri | http://hdl.handle.net/2433/203048 | - |
dc.description.abstract | In this paper, we propose a doubly robust method to present the heterogeneity of the average treatment effect with respect to observed covariates of interest. We consider a situation where a large number of covariates are needed for identifying the average treatment effect but the covariates of interest for analyzing heterogeneity are of much lower dimension. Our proposed estimator is doubly robust and avoids the curse of dimensionality. We propose a uniform confidence band that is easy to compute, and we illustrate its usefulness via Monte Carlo experiments and an application to the effects of smoking on birth weights. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Economic Research, Kyoto University | en |
dc.publisher.alternative | 京都大学経済研究所 | ja |
dc.subject | average treatment effect conditional on covariates | en |
dc.subject | uniform confidence band | en |
dc.subject | double robustness | en |
dc.subject | Gaussian approximation | en |
dc.subject.ndc | 330 | - |
dc.title | DOUBLY ROBUST UNIFORM CONFIDENCE BAND FOR THE CONDITIONAL AVERAGE TREATMENT EFFECT FUNCTION | en |
dc.type | research report | - |
dc.type.niitype | Research Paper | - |
dc.identifier.jtitle | KIER Discussion Paper | en |
dc.identifier.volume | 931 | - |
dc.textversion | author | - |
dc.sortkey | 00931 | - |
dcterms.accessRights | open access | - |
出現コレクション: | KIER Discussion Paper (英文版) |
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