Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models
This paper extends the LSDV bias approximations in Bun and Kiviet (2003) to unbalanced panels. The approximations are obtained by modify-ing the within operator to accommodate the dynamic selection rule. They are accurate, with higher order terms bringing only decreasing improve-ments to the approximations. This removes an important cause for limited applicability of bias corrected LSDV estimators.
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- Jeffrey M. Wooldridge, 2001.
"Econometric Analysis of Cross Section and Panel Data,"
MIT Press Books,
The MIT Press,
edition 1, volume 1, number 0262232197, June.
- Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, June.
- Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
- 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, . "LSDVC: RATS procedure to estimate a dynamic FE model with correction for bias," Statistical Software Components RTS00111, Boston College Department of Economics.
- Maurice J.G. Bun & Jan F. Kiviet, 2002.
"On the Diminishing Returns of Higher-order Terms in Asymptotic Expansions of Bias,"
Tinbergen Institute Discussion Papers
02-099/4, Tinbergen Institute, revised 24 Oct 2002.
- Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
- Kiviet, Jan F, 1986. "On the Rigour of Some Misspecification Tests for Modelling Dynamic Relationships," Review of Economic Studies, Wiley Blackwell, vol. 53(2), pages 241-61, April.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
- Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
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