A Monte Carlo study of growth regressions

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" A Monte Carlo study of growth regressions "
Hauk, William R.Wacziarg, Romain

Document Type	:	AL
Record Number	:	899763
Doc. No	:	LA8650r8f7
Title & Author	:	A Monte Carlo study of growth regressions [Article]\ Hauk, William R.Wacziarg, Romain
Date	:	2009
Title of Periodical	:	UCLA
Abstract	:	Using Monte Carlo simulations, this paper evaluates the bias properties of estimators commonly used to estimate growth regressions derived from the Solow model. We explicitly allow for measurement error, country-specific fixed effects and regressor endogeneity. An OLS estimator applied to a single cross-section of variables averaged over time (the between estimator) performs best in terms of the extent of bias on each of the estimated coefficients. Fixed-effects and the Arellano–Bond GMM estimator overstate the speed of convergence under a wide variety of assumptions, while the between estimator understates it. Finally, fixed effects and Arellano–Bond bias towards zero the slope estimates on the human and physical capital accumulation variables, while the between estimator and the Blundell–Bond system GMM estimator bias these coefficients upwards.