TY - JOUR
T1 - Semiparametric estimation of heterogeneous treatment effects under the nonignorable assignment condition
AU - Takahata, Keisuke
AU - Hoshino, Takahiro
N1 - Publisher Copyright:
Copyright © 2019, The Authors. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/2/26
Y1 - 2019/2/26
N2 - We propose a semiparametric two-stage least square estimator for the heterogeneous treatment effects (HTE). HTE is the solution to certain integral equation which belongs to the class of Fredholm integral equations of the first kind, which is known to be ill-posed problem. Naive semi/nonparametric methods do not provide stable solution to such problems. Then we propose to approximate the function of interest by orthogonal series under the constraint which makes the inverse mapping of integral to be continuous and eliminates the ill-posedness. We illustrate the performance of the proposed estimator through simulation experiments.
AB - We propose a semiparametric two-stage least square estimator for the heterogeneous treatment effects (HTE). HTE is the solution to certain integral equation which belongs to the class of Fredholm integral equations of the first kind, which is known to be ill-posed problem. Naive semi/nonparametric methods do not provide stable solution to such problems. Then we propose to approximate the function of interest by orthogonal series under the constraint which makes the inverse mapping of integral to be continuous and eliminates the ill-posedness. We illustrate the performance of the proposed estimator through simulation experiments.
KW - Heterogeneity in treatment effects
KW - Integral equation
KW - Semiparametric estimation
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M3 - Article
AN - SCOPUS:85093128190
JO - Mathematical Social Sciences
JF - Mathematical Social Sciences
SN - 0165-4896
ER -