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Keyword: treatment effect;
5 results found.
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Karun Adusumilli and Taisuke Otsu
Missing or incomplete outcome data is a ubiquitous problem in biomedical and social sciences. Under the missing at random setup, inverse probability weighting is widely applied to estimate and make inference on the popul...Read more...
30 October 2018
James Berry, Greg Fischer and Raymond Guiteras
Using the Becker-DeGroot-Marschak (BDM) mechanism, we estimate the willingness-to-pay (WTP) for and impact of clean water technology through a field experiment in Ghana. Although WTP is low relative to the cost, demand ...Read more...
25 May 2018
Taisuke Otsu and Chen Qiu
This paper is concerned with estimation of functionals of a latent weight function that satisfies possibly high dimensional multiplicative moment conditions. Main examples are missing data problems, treatment effects, an...Read more...
4 January 2018
Taisuke Otsu and Yoshiyasu Rai
Abadie and Imbens (2008) showed that the standard naive bootstrap is inconsistent to estimate the distribution of the matching estimator for treatment effects with a fixed number of matches. This article proposes an asym...Read more...
13 January 2015
Hidehiko Ichimura and Oliver Linton
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions. We derive approximations to the first two moments of the estimator that are valid to 'second order...Read more...