Robust and optimal estimation for partially linear instrumental variables models with partial identification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.05.012
Abstract: Abstract This paper studies robust and optimal estimation of the slope coefficients in a partially linear instrumental variables model with nonparametric partial identification. We establish the root-n asymptotic normality of a penalized sieve minimum distance… read more here.
Keywords: partial identification; robust optimal; identification; slope coefficients ... See more keywords
Partial identification of average treatment effects on the treated through difference-in-differences
Sign Up to like & getrecommendations! Published in 2017 at "Econometric Reviews"
DOI: 10.1080/07474938.2017.1308036
Abstract: ABSTRACT The difference-in-differences (DID) method is widely used as a tool for identifying causal effects of treatments in program evaluation. When panel data sets are available, it is well-known that the average treatment effect on… read more here.
Keywords: difference differences; average treatment; partial identification; treatment ... See more keywords
Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary Subgroups.
Sign Up to like & getrecommendations! Published in 2022 at "Epidemiology"
DOI: 10.3386/w30461
Abstract: Medical journals have adhered to a reporting practice that seriously limits the usefulness of published trial findings. Medical decision makers commonly observe many patient covariates and seek to use this information to personalize treatment choices.… read more here.
Keywords: personalized treatment; trial; trial findings; partial identification ... See more keywords