This paper tests the opportunity-cost theory using a panel of Spanish firms during the period 1991-2010. Under this theory, productivity-enhancing activities, such as R&D investment, should increase during downturns because of the fall in their relative cost – in terms of forgone output –....

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 main determinants of corporate default. We employ Bayesian model averaging (BMA) techniques in order to shed light on this issue. Empirical findings suggest that the most robust determinants of corporate default are firm-specific variables such as the...

There is evidence in the literature of fiscal consolidation episodes producing (non-Keynesian) expansionary effects (e.g. Alesina and Ardagna, 1998). We replicate this result for a panel of OECD countries under exogeneity of the fiscal tightening decision, and provide evidence that this decision...

This paper offers an evaluation of the output contribution of infrastructure. Drawing from a large data set of infrastructure stocks covering 88 countries and spanning the years 1960-2000, and using a panel time-series approach, the paper estimates a long-run aggregate production function...

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...

The containment of health care expenditure is one of the major challenges facing public policymakers in the developed countries. This paper provides evidence of significant differences in the cross-country level of efficiency of health care expenditure, meaning that potential cost savings for...

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...

Model uncertainty remains a challenge to applied researchers in economics. When many competing models are available for estimation and without enough guidance from theory, model averaging represents an alternative to model selection. Despite model averaging approaches have been present in...