Cross sectional and panel estimation of convergence

Cross sectional estimation of convergence regressions is known to be hazardous if there is convergence towards heterogeneous steady state values. In this paper, Monte Carlo methods are used to investigate the implications of this parameter heterogeneity problem. The cross sectional and pooled OLS estimators are compared with a panel estimator which is unaffected by heterogeneity. If there is heterogeneity, the latter outperforms both the unconditional and conditional cross sectional and pooled OLS estimators