We examine the issue of variable selection in linear regression modelling, where we have 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 formal...

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...

We examine the issue of variable selection in linear regression have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the Model Averaging presents uncertainty. Our main interest here is the effect of the prior on the results,...

GDP, the leading economic measurement, is outdated and misleading. . . . It’s like grading a corporation based on today’s cash flow and forgetting to depreciate assets and other costs. – Joseph Stiglitz, “Good Numbers Gone Bad,” Fortune, October 2, 2006.

This paper considers the effects of inaccurate real-time output data on fiscal policy, 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 figures...