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estimation of the popular linear fixed effects panel data model, and to supply Stata code for it. In an application from the …
Persistent link: https://www.econbiz.de/10010269751
The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009 …
Persistent link: https://www.econbiz.de/10010300222
This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao …
Persistent link: https://www.econbiz.de/10010282268
This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao …
Persistent link: https://www.econbiz.de/10010283629
estimation of the popular linear fixed effects panel data model, and to supply Stata code for it. In an application from the …
Persistent link: https://www.econbiz.de/10010286574
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/10014480540
In the presence of selection bias, traditional estimators of pseudo panel data are inconsistent. In this paper, the … authors derive the conditions under which consistence is achieved in pseudo-panel estimation and propose a simple test of … of the null hypothesis, the authors can consistently estimate pseudo-panel parameters. They use cross sections and pseudo-panel …
Persistent link: https://www.econbiz.de/10010308943
The authors address the issue of estimation and inference in dependent non-stationary panels of small cross-section dimensions. The main conclusion is that the best results are obtained applying bootstrap inference to single-equation estimators, such as fully modified ordinary least squares and...
Persistent link: https://www.econbiz.de/10010309047
This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …
Persistent link: https://www.econbiz.de/10010318527
Many approaches to estimation of panel models are based on an average or integrated likelihood that assigns weights to …
Persistent link: https://www.econbiz.de/10010318579