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Dynamic panel data modelling using maximum likelihood: an alternative to Arellano-Bond

Published on Apr 27, 2019in Applied Economics0.97
· DOI :10.2139/ssrn.2905606
Enrique Moral-Benito18
Estimated H-index: 18
(Bank of Spain),
Paul D. Allison46
Estimated H-index: 46
(UPenn: University of Pennsylvania),
Richard Williams18
Estimated H-index: 18
(ND: University of Notre Dame)
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Abstract
The Arellano and Bond (1991) estimator is widely-used among applied researchers when estimating dynamic panels with fixed effects and predetermined regressors. This estimator might behave poorly in finite samples when the cross-section dimension of the data is small (i.e. small N), especially if the variables under analysis are persistent over time. This paper discusses a maximum likelihood estimator that is asymptotically equivalent to Arellano and Bond (1991) but presents better finite sample behaviour. Moreover, the estimator is easy to implement in Stata using the xtdpdml command as described in the companion paperWilliams et al. (2016), which also discusses further advantages of the proposed estimator for practitioners.
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  • Citations (5)
References44
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#1Richard Williams (ND: University of Notre Dame)H-Index: 18
#2Paul D. Allison (UPenn: University of Pennsylvania)H-Index: 46
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#2Alessandro Galesi (Bank of Spain)H-Index: 5
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#2Richard Williams (ND: University of Notre Dame)H-Index: 18
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#1M. Dolores Gadea (University of Zaragoza)H-Index: 12
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