This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved heterogeneity and priors on the factor structure of...

This paper contributes to the empirical literature on convergence by applying convergence model to components of government expenditures (by function) in EU15 during 1995-2010, using the data from United Nations Statistics Division. Moreover, we extend the traditional convergence model to allow...