Estimation and inference in dynamic unbalanced panel data models with a small number of individuals
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.
|Date of creation:||Jun 2005|
|Date of revision:||Jun 2005|
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- Bruno, Giovanni S.F., 2005.
"Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models,"
Elsevier, vol. 87(3), pages 361-366, June.
- 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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- Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
- Tom Doan, "undated". "LSDVC: RATS procedure to estimate a dynamic FE model with correction for bias," Statistical Software Components RTS00111, Boston College Department of Economics.
- David Roodman, 2003. "XTABOND2: Stata module to extend xtabond dynamic panel data estimator," Statistical Software Components S435901, Boston College Department of Economics, revised 01 Oct 2015.
- Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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