Showing 1 - 10 of 79
Persistent link: https://www.econbiz.de/10012299251
Persistent link: https://www.econbiz.de/10011442125
In this article, we review quantile models with endogeneity. We focus on models that achieve indentification through the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss key conditions, which include monotonicity and...
Persistent link: https://www.econbiz.de/10009747939
We propose robust methods for inference on the effect of a treatment variable on a scalar outcome in the presence of very many controls. Our setting is a partially linear model with possibly non-Gaussian and heteroscedastic disturbances where the number of controls may be much larger than the...
Persistent link: https://www.econbiz.de/10009747934
. Efficient estimators and uniformly valid confidence intervals for regression coefficients on target variables (e.g., treatment … or policy variable) in a high-dimensional approximately sparse regression model, for average treatment effect (ATE) and … heteroscedastic and non-Gaussian errors are implemented. Moreover, joint/ simultaneous confidence intervals for regression …
Persistent link: https://www.econbiz.de/10011524715
Persistent link: https://www.econbiz.de/10014507747
Persistent link: https://www.econbiz.de/10012306198
Persistent link: https://www.econbiz.de/10012167326
Persistent link: https://www.econbiz.de/10012215719
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://www.econbiz.de/10012219613