We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian model averaging (BMA). We find that the posterior probability is distributed among many models, suggesting the superiority of BMA over any single model. Out-of-sample predictive results support that...

This paper discusses the design of CO2 taxes at the domestic and international level and the choice of taxes versus cap and trade. There is a strong case for taxes on uncertainty, fiscal, and distributional grounds, though this critically hinges on policy specifics and how revenues are used. The...

In this paper, we discuss the design of carbon dioxide (CO2) taxes at the domestic and international level and the choice of taxes versus a cap-and-trade system. A strong case can be made for taxes on uncertainty, fiscal, and distributional grounds, though this critically hinges on policy...

We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian model averaging (BMA). We find that the posterior probability is distributed among many models, suggesting the superiority of BMA over any single model. Out-of-sample predictive results support that...

It is generally acknowledged that a government's output is difficult to define and its value is hard to measure. The practical solution adopted by national accounts systems is to equate output value to input costs, but well-documented inefficiencies in government activities make this...

We consider the measures of jointness proposed by Doppelhofer and Weeks (2009) and Strachan (2009) in the context of variable selection. Using the general criteria suggested in Ley and Steel (2007), we identify some shortcomings of these measures, which are illustrated with empirically relevant...