Estimation and inference in dynamic unbalanced panel data models with a small number of individuals
Abstract
This study describes a new Stata routine that computes bias-corrected LSDV estimators and thier bootstrap variance-covariance matrix for dynamic (possibly) unbalanced panel data models. A Monte Carlo analysis is carried out to evaluate the finite-sample performance of the bias corrected LSDV estimators in comparison to the original LSDV estimators and three popular N-consistent estimators: Arellano-Bond, Anderson-Hsiao and Blundell-Bond. Results strongly support the bias-corrected LSDV estimators according to bias and root mean squared error criteria when the number of individuals is small.Download Info
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Paper provided by KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy in its series KITeS Working Papers with number 165.Length: 28 pages
Date of creation: Jun 2005
Date of revision: Jun 2005
Handle: RePEc:cri:cespri:wp165
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Related research
Keywords: Bias approximation; Unbalanced panels; Dynamic Panel data; LSDV estimator; Monte Carlo experiment; Bootstrap variance-covariance;Other versions of this item:
- Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-06-27 (All new papers)
- NEP-ECM-2005-06-27 (Econometrics)
- NEP-ETS-2005-06-27 (Econometric Time Series)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Giovanni S.F. Bruno, 2004. "Approximating the Bias of the LSDV Estimator for Dynamic Unbalanced Panel Data Models," KITeS Working Papers 159, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jul 2004.
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