This paper relaxes some key assumptions in the probabilistic approach to fiscal sustainability. First, the authors identify structural breaks over the sample period used to estimate the covariance matrix of the shocks to the debt ratios. Second, the assumption of normality of the shocks is...

This paper examines the issue of variable selection in linear regression modeling, where there is a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the appropriate subset. In this context, Bayesian Model Averaging presents a...

The authors present a measure of jointness to explore dependence among regressors in the context of Bayesian model selection. The jointness measure they propose equals the posterior odds ratio between those models that include a set of variables and the models that only include proper subsets....

"Getting the prices right" is a good starting point but is not sufficient for achieving environmentally efficient outcomes. Other policy interventions are often necessary to complement pricing policies. Moreover, when pricing is not at all feasible, regulatory and command-and-control policies...

This paper considers the effects of inaccurate real-time output data on fiscal management, both with respect to budgetary planning and fiscal surveillance. As newer and better information becomes available, output data available in real time get revised and are likely to conflict with final...

This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations. The paper analyzes the effect of a variety of...