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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
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This paper studies linear panel regression models in which the unobserved error term is an unknown smooth function of … of the regression parameters in this setting as the number of individuals and the number of time periods grow to infinity …
Persistent link: https://www.econbiz.de/10012663772
This paper studies a simple dynamic panel linear regression model with interactive fixed effects in which the variable …
Persistent link: https://www.econbiz.de/10009419307
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