Abstract: Both global and regional economic linkages have strengthened substantially over the past quarter century. We employ a dynamic factor model to analyze the implications of these linkages for the evolution of global and regional business cycles. Our model allows us to assess the roles...

This paper leverages the IMF’s Financial Access Survey (FAS) database to construct a new composite index of financial inclusion. The topic of financial inclusion has gathered significant attention in recent years. Various initiatives have been undertaken by central banks both in advanced...

This paper constructs a financial conditions index for Poland to explore the link between financial conditions and real economic activity. The index in constructed by applying two complementary approaches—factor analysis and vector auto-regression approach. We evaluate the index’s...

The main purpose of this paper is to construct a financial conditions index (FCI) for South Africa. The analysis extracts the index by applying two alternative approaches (principal component analysis and Kalman filter), which identify an unobservable common factor from a group of external and...

We use a heterogeneous panel VAR model identified through factor analysis to study the dynamic response of exports, imports, and per capita GDP growth to a “global” aid shock. We find that a global aid shock can affect exports, imports, and growth either positively or negatively. As a...

We present a simple macroeconomic model with a continuum of primary commodities used in the production of the final good, such that the real prices of commodities have a factor structure. One factor captures the combined contribution of all aggregate shocks which have no direct effects on...

This paper analyzes the transmission of shocks and policies among and across the Nordic economies and the rest of the world. This spillover analysis is based on a pair of estimated structural macroeconometric models of the world economy, disaggregated into thirty five national economies. We find...

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 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....

Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information...