This paper discusses likelihood-based estimation of linear panel data models with general predetermined variables and individual-specific effects. The resulting (pseudo) maximum likelihood estimator is asymptotically equivalent to standard GMM but tends to have smaller finite-sample biases as...

This paper considers panel growth regressions in the presence of model uncertainty and reverse causality concerns. For this purpose, my econometric framework combines Bayesian Model Averaging with a suitable likelihood function for dynamic panel models with weakly exogenous regressors and fixed...

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian model averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with country-specific fixed...

Total Factor Productivity (TFP) accounts for a sizeable proportion of the income and growth differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure; on the other hand, model uncertainty hampers...

This paper discusses likelihood-based estimation of linear panel data models with general predetermined variables and individual-specific effects. The resulting (pseudo) maximum likelihood estimator is asymptotically equivalent to standard GMM but tends to have smaller finite-sample biases as...

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with country-specific fixed...

Global imbalances and financial market (de)regulation both feature prominently among the potential causes of the global financial crisis, but they have been generally discussed separately. In this paper, we take a different angle and investigate the relationship between financial market...

Both global imbalances and financial market (de-)regulation feature prominently among the potential causes of the global financial crisis, but they have been largely discussed separately. In this paper, we take a different angle and investigate the relationship between financial market...

In this paper I estimate empirical growth models simultaneaously considering endogenous regressors and model uncertainty. In order to apply Bayesian methods such as Bayesian Model Averaging (BMA) to dynamic panel data models with predetermined or endogenous variables and fixed effects, I propose...

Due to model uncertainty, there is no consensus about which are the most salient determinants of economic growth. To address model uncertainty, Bayesian Model Averaging approaches have recently been used in cross-country cross-sectional analyses. This paper extends these approaches to panel data...