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We study a dynamic ordered logit model for panel data with fixed effects. We establish the validity of a set of moment … Panel Survey. …
Persistent link: https://www.econbiz.de/10012800698
Many papers use fixed effects (FE) to identify causal impacts of an intervention. In this paper we show that when the treatment status only varies within some groups, this design can induce non-random selection of groups into the identifying sample, which we term selection into identification...
Persistent link: https://www.econbiz.de/10012864149
Many papers use fixed effects (FE) to identify causal impacts of an intervention. In this paper we show that when the treatment status only varies within some groups, this design can induce non-random selection of groups into the identifying sample, which we term selection into identification...
Persistent link: https://www.econbiz.de/10012480120
Persistent link: https://www.econbiz.de/10012109956
outcomes directly. In this paper we propose two alternative Bayesian treatment modeling and inferential frameworks for panel … to the labor market. The frameworks differ in their modeling of the endogeneity of the treatment and the panel structure … frameworks and can be used, for example, to test for the heterogeneity of the treatment effects. Our analysis is based on a large …
Persistent link: https://www.econbiz.de/10011346040
panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and … dynamic autoregressive models. The main results are then generalized for higher dimensional panel data sets as well. …
Persistent link: https://www.econbiz.de/10010492323
algebraic transformations show, the FE interaction estimator picks up unit-specific effect heterogeneity of both variables … “double-demeaned” estimator is not subject to bias caused by unobserved effect heterogeneity. It is, however, less efficient …
Persistent link: https://www.econbiz.de/10011880691
Persistent link: https://www.econbiz.de/10014438032
Inference for estimates of treatment effects with clustered data requires great care when treatment is assigned at the group level. This is true for both pure treatment models and difference-in-differences regressions. Even when the number of clusters is quite large, cluster-robust standard...
Persistent link: https://www.econbiz.de/10011722291
Persistent link: https://www.econbiz.de/10012610528