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 constructs new business cycle indices for Argentina, Brazil, Chile, and Mexico based on common dynamic factors extracted from a comprehensive set of sectoral output, external data, and fiscal and financial variables spanning over a century. The constructed indices are used to derive a...

This study proposes a data-based algorithm to select a subset of indicators from a large data set with a focus on forecasting recessions. The algorithm selects leading indicators of recessions based on the forecast encompassing principle and combines the forecasts. An application to U.S. data...

This paper explores the relationship between the degree of division or fractionalization of a country’s population (along ethnolinguistic and religious dimensions) and both political instability and government consumption, using a neoclassical growth model. The principal idea is that greater...

This paper constructs a coincident indicator for the Gulf Cooperation Council (GCC) area business cycle. The resulting coincident indicator provides a reliable measure of the GCC business cycle; over the last decade, the GCC coincident index and the real GDP growth have moved closely together....

Coordinating macroeconomic policies is a pre-requisite to a successful launch of the common currency in the GCC countries. Relying on the Behavioral Equilibrium Exchange Rate approach as a theoretical framework, we apply the Pooled Mean Group methodology to determine the similarity of the impact...