This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information Bayesian Model Averaging (LIBMA) methodology and then test it using simulated data. Simulation...

The short run effect of the financial intermediary development on economic growth is ana- lyzed using an unbalanced panel of 77 countries covering 35 years. Empirical Likelihood (EL) estimation is used and compared to more conventional GMM methods that weight moment conditions equally over the...

This paper explores the impact of high public debt on long-run economic growth. The analysis, based on a panel of advanced and emerging economies over almost four decades, takes into account a broad range of determinants of growth as well as various estimation issues including reverse causality...

Promotions and cross-firm mobility provide substantial gains in earnings – a well established finding based on gross income data. Yet, what matters for incentives is how much an individual can consume or save after taxation. We show that net and gross income growth patterns may differ...

This paper develops and estimates a model that integrates two fundamental theories of individual health behaviour: the Becker-Murphy model of rational addiction and the Grossman model of health investment. We define an individual's lifetime smoking consumption pattern and investments in health...

In a recent article Bai (Fixed-Effects Dynamic Panel Models, A Factor Analytical Method. Econometrica 81, 285-314, 2013a) proposes a new factor analytical method (FAM) for the estimation of fixed-effects dynamic panel data models, which has the unique and very useful property that it is...

Canadian disability policy has come a long way in the past century. However, in contrast with the evidence that disability is not permanent for most, current disability support programs still carry the old static view of permanent disability. By employing a dynamic panel data model of labour...

Motivated by the first-differencing method for linear panel data models, we propose a class of iterative local polynomial estimators for nonparametric dynamic panel data models with or without exogenous regressors. The estimators utilize the additive structure of the first-differenced...