We propose using a Bayesian time-varying coefficient model estimated with Markov chain-Monte Carlo methods to measure contagion empirically. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It...

This paper examines the effects of IMF financial assistance on economic governance in developing countries, based on panel data analyses of perceived governance indicators. It uses a two-stage approach to address possible endogeneity issues. The results show that successful implementation of IMF...

“Program numbers” from a sample of IMF-supported programs are studied as if they were forecasts, through statistical analyses of the relationship between projections and outcomes for growth, inflation, and three balance of payments concepts. Statistical bias is found only for projections of...

This paper investigates the impact of public capital on private sector output by testing and estimating an aggregate production function for the U.S. economy over the postwar period augmented to include the stock of public capital as an additional factor input. We use patent applications to...

Default prior choices fixing Zellner's g are predominant in the Bayesian Model Averaging literature, but tend to concentrate posterior mass on a tiny set of models. The paper demonstrates this supermodel effect and proposes to address it by a hyper-g prior, whose data-dependent shrinkage adapts...

The paper outlines a general framework for statistical legislation. The implications of statistical legislation for the whole statistical system, as well as for centralized versus decentralized statistical systems, are addressed. The general framework is spelled out by identifying "essential"...