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On the Diminishing Returns of Higher-order Terms in Asymptotic Expansions of Bias Author info | Abstract | Publisher info | Download info | Related research | Statistics Maurice J.G. Bun () (Faculty of Economics and Econometrics, University of Amsterdam)
Jan F. Kiviet () (Faculty of Economics and Econometrics, University of Amsterdam)
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The 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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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number
02-099/4.
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Date of creation: 07 Oct 2002Date of revision:
24 Oct 2002Handle: RePEc:dgr:uvatin:20020099Contact details of provider: Web page: http://www.tinbergen.nl/
For technical questions regarding this item, or to correct its listing, contact: (Walther Schoonenberg).
Keywords: Mymptotic expansion biM approximation dynamic panel data model finite sample biM LSDV estimator Other versions of this item:
Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
This paper has been announced in the following NEP Reports :
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