Showing 1 - 10 of 529
propensity score weighting estimation of the average treatment effects for treated (ATT). The proposed averaging procedures aim …
Persistent link: https://www.econbiz.de/10011309717
Multidimensional heterogeneity and endogeneity are important features of models with multiple treatments. We consider a heterogeneous coefficients model where the outcome is a linear combination of dummy treatment variables, with each variable representing a different kind of treatment. We use...
Persistent link: https://www.econbiz.de/10012271087
Multidimensional heterogeneity and endogeneity are important features of models with multiple treatments. We consider a heterogeneous coefficients model where the outcome is a linear combination of dummy treatment variables, with each variable representing a different kind of treatment. We use...
Persistent link: https://www.econbiz.de/10012667312
Multidimensional heterogeneity and endogeneity are important features of a wide class of econometric models. With control variables to correct for endogeneity, nonparametric identification of treatment effects requires strong support conditions. To alleviate this requirement, we consider varying...
Persistent link: https://www.econbiz.de/10015191459
procedures that address this issue for the propensity score weighting estimation of the average treatment effects for treated …
Persistent link: https://www.econbiz.de/10010209255
which incorporate a second-order bias term. Our approach is general enough to cover estimation problems related to densities …
Persistent link: https://www.econbiz.de/10009753169
Let Y be an outcome of interest, X a vector of treatment measures, and W a vector of pre-treatment control variables. Here X may include (combinations of) continuous, discrete, and/or non-mutually exclusive "treatments". Consider the linear regression of Y onto X in a subpopulation homogenous in...
Persistent link: https://www.econbiz.de/10011924562
This paper provides a method to construct simultaneous confidence bands for quantile and quantile effect functions for possibly discrete or mixed discrete-continuous random variables. The construction is generic and does not depend on the nature of the underlying problem. It works in conjunction...
Persistent link: https://www.econbiz.de/10011647471
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://www.econbiz.de/10015168545
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://www.econbiz.de/10010190476