We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a … parameter θ, whereas the distribution of unit-specific heterogeneity, as well as the feedback process that maps lagged … numerically, suggesting that meaningful learning about θ may be possible even in short panels with feedback. As a …

We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a … parameter θ, whereas the distribution of unit-specific heterogeneity, as well as the feedback process that maps lagged outcomes … learning about θ is possible even in short panels with feedback. …

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and …

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and …

The paper reconsiders existing estimators for the panel data fixed effects ordered logit model, including one that has …

This paper studies identification in a binary choice panel data model with choice probabilities depending on a lagged …

This paper studies identification in a binary choice panel data model with choice probabilities depending on a lagged …

We consider a framework for analyzing panel data characterized by: (i) a system of regressions equations, (ii) random … individual heterogeneity in both intercepts and slope coefficients, and (iii) unbalanced panel data, i.e., panel data where the …