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Nonparametric IV estimation of local average treatment effects with covariates

  • Markus Froelich

    ()

In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to incorporate confounding covariates. Estimation of local average treatment effects is appealing since their identification relies on much weaker assumptions than the identification of average treatment effects in other nonparametric instrumental variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is endogenous (e.g. when the instrument is self-selected). However, all previous approaches to handle covariates in the estimation of LATE rely on parametric or semiparametric methods. In this paper, a nonparametric estimator for the estimation of LATE with covariates is suggested that is root-n asymptotically normal and efficient.

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File URL: http://www1.vwa.unisg.ch/RePEc/usg/dp2002/dp0219froelich_ganz.pdf
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Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2002 with number 2002-19.

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Length: 41 pages
Date of creation: Sep 2002
Date of revision:
Handle: RePEc:usg:dp2002:2002-19
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