Showing 1 - 10 of 24
In the practice of program evaluation, choosing the covariates and the functional form of the propensity score is an important choice for estimating treatment effects. This paper proposes data-driven model selection and model averaging procedures that address this issue for the propensity score...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010209255
In the practice of program evaluation, choosing the covariates and the functional form of the propensity score is an important choice that the researchers make when estimating treatment effects. This paper proposes a data-driven way of averaging the estimators over the candidate specifications...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011309717
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011704807
This paper develops a specification test for the instrument validity conditions in the heterogeneous treatment effect model with a binary treatment and a discrete instrument. A necessary testable implication for the joint restriction of instrument exogeneity and instrument monotonicity is given...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010190476
This paper develops a specification test for instrument validity in the heterogeneous treatment effect model with a binary treatment and a discrete instrument. The strongest testable implication for instrument validity is given by the condition for nonnegativity of point-identifiable complier's...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010392075
This paper examines the identifying power of instrument exogeneity in the treatment effect model. We derive the identification region of the potential outcome distributions, which are the collection of distributions that are compatible with data and with the restrictions of the model. We...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012219613
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013275435
This paper develops a novel method for policy choice in a dynamic setting where the available data is a multi-variate time series. Building on the statistical treatment choice framework, we propose Time-series Empirical Welfare Maximization (T-EWM) methods to estimate an optimal policy rule by...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015168545
One of the main objectives of empirical analysis of experiments and quasi-experiments is to inform policy decisions that determine the allocation of treatments to individuals with different observable covariates. We propose the Empirical Welfare Maximization (EWM) method, which estimates a...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010488922
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011417104