Hidehiko Ichimura

Biographic Data

ID8920725
NAMEHidehiko Ichimura
GIVEN NAMESHidehiko
FAMILY NAMEIchimura
SIGNATUREICHIMURA H
AFFILIATIONSFaculty of Economics, University of Tokyo, Bunkyo, Tokyo 113-8654, Japan ()
ORCID0000-0003-3525-3510
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1997
LATEST PUBLICATION YEAR2018
H-INDEX0

  • Simple Estimators for Invertible Index Models

    Hyungtaik Ahn, Hidehiko Ichimura et al.ARTICLEJournal of Business and Economic…2018

    This article considers estimation of the unknown linear index coefficients of a model in which a number of nonparametrically identified reduced form parameters are assumed to be smooth and invertible function of one or more linear indices. The results extend the previous literature by allowing the number of reduced form parameters to exceed the number of indices (i.e., the indices are “overdetermined” by the reduced form parameters. The estimator…

  • Rejoinder for “Simple Estimators for Invertible Index Models”

    Hyungtaik Ahn, Hidehiko Ichimura et al.ARTICLEJournal of Business and Economic…2018

    "Rejoinder for “Simple Estimators for Invertible Index Models”." Journal of Business & Economic Statistics, 36(1), pp. 22–23

  • Characterizing Selection Bias Using Experimental Data

    James Heckman, Hidehiko Ichimura et al.ARTICLEEconometrica1998

    This paper develops and applies semiparametric econometric methods to estimate the form of selection bias that arises from using nonexperimental comparison groups to evaluate social programs and to test the identifying assumptions that justify three widely-used classes of estimators and our extensions of them: (a) the method of matching; (b) the classical econometric selection model which represents the bias solely as a function of the probabilit…

  • Matching As An Econometric Evaluation Estimator

    James J Heckman, Hidehiko Ichimura et al.ARTICLEThe Review of Economic Studies1998

    This paper develops the method of matching as an econometric evaluation estimator. A rigorous distribution theory for kernel-based matching is presented. The method of matching is extended to more general conditions than the ones assumed in the statistical literature on the topic. We focus on the method of propensity score matching and show that it is not necessarily better, in the sense of reducing the variance of the resulting estimator, to use…

  • Matching As An Econometric Evaluation Estimator

    James J Heckman, Hidehiko Ichimura et al.ARTICLEThe Review of Economic Studies1997

    This paper considers whether it is possible to devise a nonexperimental procedure for evaluating a prototypical job training programme. Using rich nonexperimental data, we examine the performance of a two-stage evaluation methodology that (a) estimates the probability that a person participates in a programme and (b) uses the estimated probability in extensions of the classical method of matching. We decompose the conventional measure of programm…