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From |
Michael Hanson <mshanson@mac.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: using xtabond and xtabond2 |

Date |
Sat, 28 Jul 2007 19:55:08 -0400 |

On Jul 28, 2007, at 6:56 PM, natalie chan wrote:

I would like to expand Natalie's question: I have an application of dynamic panel data in which T/N is nearly 3, with N = 50. In David Roodman's excellent discussion of -xtabond2- [1], he writes, "If T is large, dynamic panel bias becomes insignificant, and a more straightforward fixed effects estimator works." (p. 42) However, I have never been able to find a discussion of how "large" of a T is "large enough" in the literature (which I interpret is part of Natalie's question). In the only textbook reference I have found, Baltagi (2005) [2] writes, "FE, GMM, and LIML exhibit a bias term in their asymptotic distributions; the biases are of the order 1/T, 1/N, and 1/(2N-T), respectively." (p. 153)Maybe this is a question more about econometrics than about Stata but I can't find anywhere more appropriate to ask this question. Thanks in advance. I am doing regressions on economic growth equations with a panel data of 20 years for 48 countries. I wanted to use dynamic panel approach with xtabond or xtabond2, however, the Arellano-Bond methods are specified for data with small T and large N. On the other hand, I have seen some researchers using Arellano-Bond methods on growth models, including Bond himself. Could anyone give me some advice on this? Thanks a lot.

Would it be reasonable, therefore, to conclude that in Natalie's case (T/N < 1/2), GMM (i.e. AB-type estimators) or LIML would be preferred, whereas in my case (T/N > 2.5), FE would be preferred? (I realize that this claim is based on asymptotic arguments, and that the N & T discussed here are probably too small. Any information about the small-sample properties of these estimators in a dynamic panel context would be appreciated as well.)

I also recognize that this question is at least as much about statistics (econometrics) as about Stata, and I appreciate any help or suggestions.

[1] <http://repec.org/nasug2006/howtodoxtabond2.cgdev.pdf>

[2] <http://www.stata.com/bookstore/eapd.html>

-- Mike

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**Follow-Ups**:**Re: st: using xtabond and xtabond2***From:*bmilanovic@worldbank.org

**References**:**st: using xtabond and xtabond***From:*"natalie chan" <natalie.channew@googlemail.com>

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