Hide Ichimura is a Professor in the Department of Economics, a Deputy Director of the Centre for Microdata Methods and Practice, and a Research Fellow at the Institute for Fiscal Studies. He is an Associate Editor of the Economic Journal and the Review of Economic Studies.
This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators… Continue reading.
The matching method for treatment evaluation does not balance selective unobserved differences between treated and non-treated…. Continue reading.
This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators… Continue reading.
We present a simple way to estimate the effects of changes in a vector of observable… Continue reading.
The matching method for treatment evaluation does not balance selective unobserved differences between treated and non-treated…. Continue reading.
This paper develops a concrete formula for the asymptotic distribution of two-step,possibly non-smooth semiparametric M-estimators under… Continue reading.
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic… Continue reading.
The goal of this paper is to use a semiparametric reduced form model to estimate the… Continue reading.
The goal of this paper is to use a semiparametric reduced form model to estimate the… Continue reading.
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic… Continue reading.