On the diminishing returns of higher-order terms in asymptotic expansions of bias
AbstractThe relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the major part of the actual bias in small samples. This implies that bias correction procedures can be based on relatively simple bias approximation formulas.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 79 (2003)
Issue (Month): 2 (May)
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Web page: http://www.elsevier.com/locate/ecolet
Other versions of this item:
- 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.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
Please 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.:
- Beggs, John J. & Nerlove, Marc, 1988. "Biases in dynamic models with fixed effects," Economics Letters, Elsevier, vol. 26(1), pages 29-31.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
- 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.
- 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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