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A SPATIAL DYNAMIC PANEL DATA MODEL WITHBOTH TIME AND INDIVIDUAL FIXEDEFFECTS

Published online by Cambridge University Press:  18 August 2009

Lung-fei Lee  and
Jihai Yu
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Abstract

This paper establishes asymptotic properties ofquasi-maximum likelihood estimators for spatialdynamic panel data with both time and individualfixed effects when the number of individualsn and the number of time periodsT can be large. We propose a datatransformation approach to eliminate the timeeffects. When n / T → 0, theestimators are consistent andasymptotically centered normal; whenn is asymptotically proportionalto T, they are consistent andasymptotically normal, but the limit distribution isnot centered around 0; when n / T →∞, the estimators are consistent with rateT and have a degenerate limitdistribution. We also propose a bias correction forour estimators. When n1/3 /T → 0, the correction willasymptotically eliminate the bias and yield acentered confidence interval. The estimates from thetransformation approach can be consistent whenn is a fixed finite number.

Information

Type
Research Article
Information
Econometric Theory , Volume 26 , Issue 2 , April 2010 , pp. 564 - 597
Copyright
Copyright © Cambridge University Press 2009

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Footnotes

We thank two anonymous referees and the co-editorJinyong Hahn for their comments and suggestionsfor improving this paper. Lee acknowledgesfinancial support from NSF under grantSES-0519204.

References

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