Narrow search
Showing 1 - 10 of 800,726
Cover Image
Nonparametric IV estimation of local average treatment effects with covariates
Frölich, Markus - 2002
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to … variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is … of LATE rely on parametric or semiparametric methods. In this paper, a nonparametric estimator for the estimation of LATE …
Persistent link: https://www.econbiz.de/10011413605
Cover Image
Nonparametric IV estimation of local average treatment effects with covariates
Froelich, Markus - School of Economics and Political Science, Universität … - 2002
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to … variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is … of LATE rely on parametric or semiparametric methods. In this paper, a nonparametric estimator for the estimation of LATE …
Persistent link: https://www.econbiz.de/10005453938
Cover Image
Nonparametric IV Estimation of Local Average Treatment Effects with Covariates
Frölich, Markus - Institute for the Study of Labor (IZA) - 2002
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to … variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is … of LATE rely on parametric or semiparametric methods. In this paper, a nonparametric estimator for the estimation of LATE …
Persistent link: https://www.econbiz.de/10005566385
Cover Image
Nonparametric IV estimation of local average treatment effects with covariates
Frölich, Markus - 2002
Persistent link: https://www.econbiz.de/10001717623
Cover Image
Nonparametric IV Estimation of Local Average Treatment Effects with Covariates
Frölich, Markus - 2021
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to … variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is … of LATE rely on parametric or semiparametric methods. In this paper, a nonparametric estimator for the estimation of LATE …
Persistent link: https://www.econbiz.de/10013320416
Cover Image
What is the value of knowing the propensity score of estimating average treatment effects
Frölich, Markus - 2002
Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …
Persistent link: https://www.econbiz.de/10011412472
Cover Image
Unconditional Quantile Treatment Effects Under Endogeneity
Frölich, Markus; Melly, Blaise - 2021
This paper develops IV estimators for unconditional quantile treatment effects (QTE) when the treatment selection is endogenous. In contrast to conditional QTE, i.e. the effects conditional on a large number of covariates X, the unconditional QTE summarize the effects of a treatment for the...
Persistent link: https://www.econbiz.de/10013324857
Cover Image
Overidentification test in a nonparametric treatment model with unobserved heterogeneity : conference paper
Dzemski, Andreas; Sarnetzki, Florian - 2014 - This version: February 15, 2014
is related to the test of the validity of the matching approach in Heckman et. al 1996,1998. Conditional on covariates …
Persistent link: https://www.econbiz.de/10010491120
Cover Image
What is the Value of Knowing the Propensity Score for Estimating Average Treatment Effects?
Frölich, Markus - 2002
Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …
Persistent link: https://www.econbiz.de/10010262697
Cover Image
Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity
Caetano, Carolina; Escanciano, Juan Carlos - 2015
This paper proposes a new strategy for the identification of all the marginal effects of an endogenous multi-valued variable (which can be continuous, or a vector) in a regression model with one binary instrumental variable. The unobservables must be separable from the endogenous variable of...
Persistent link: https://www.econbiz.de/10014135235