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This paper studies a simple dynamic panel linear regression model with interactive fixed effects in which the variable … (LS-MD) estimation method. -- dynamic panel ; interactive fixed effects ; measurement error ; LS-MD estimation …
Persistent link: https://www.econbiz.de/10009419307
-effect models for panel data. We use an asymptotic embedding where the noise shrinks with the sample size to calculate the leading …
Persistent link: https://www.econbiz.de/10012063831
-effect models for panel data. We use an asymptotic embedding where the noise shrinks with the sample size to calculate the leading …
Persistent link: https://www.econbiz.de/10012792731
heterogeneity or unobserved state variables and panel data models with fixed effects. Recent developments in measurement error …
Persistent link: https://www.econbiz.de/10010469057
We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a …
Persistent link: https://www.econbiz.de/10013489540
This paper studies identification in a binary choice panel data model with choice probabilities depending on a lagged …
Persistent link: https://www.econbiz.de/10014316748
We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a …
Persistent link: https://www.econbiz.de/10014316769
Many panel data methods, while allowing for general dependence between covariates and time-invariant agent … panel data models and present constructive methods to derive feasible moment-based estimators for specific models. We also …
Persistent link: https://www.econbiz.de/10015419990
We develop a practical way of addressing the Errors-In-Variables (EIV) problem in the Generalized Method of Moments (GMM) framework. We focus on the settings in which the variance of the measurement errors is a fraction of that of the mismeasured variables, which is typical for empirical...
Persistent link: https://www.econbiz.de/10013041400
We develop a practical way of addressing the Errors-In-Variables (EIV) problem in the Generalized Method of Moments (GMM) framework. We focus on the settings in which the variability of the EIV is a fraction of that of the mismeasured variables, which is typical for empirical applications. For...
Persistent link: https://www.econbiz.de/10015178608