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This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...
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We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across … uniformly valid inference on function-valued objects. This avoids coefficient re-estimation and is shown to be consistent for a …
Persistent link: https://www.econbiz.de/10013187158
We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across … uniformly valid inference on function-valued objects. This avoids coefficient re-estimation and is shown to be consistent for a …
Persistent link: https://www.econbiz.de/10013173197
This paper considers a class of fixed-T nonlinear panel models with time-varying link function, fixed effects, and …
Persistent link: https://www.econbiz.de/10013307459
We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across … uniformly valid inference on function-valued objects. This avoids coefficient re-estimation and is shown to be consistent for a …
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