Time series on economic activity in developing countries, in particular real GDP, are reported with important lags. Therefore, it is useful to construct indicators that coincide or lead the actual direction and level of economic activity. A general methodology to construct these indicators is...

This paper presents an integrated framework for assessing systemic risk. The framework models banks’ capital asset ratios as a function of future losses and credit growth using a generalized method of moments to calibrate shocks to credit quality and credit growth. The analysis is...

In recent years, many countries have adopted Fiscal Responsibility Laws to strengthen fiscal institutions and promote fiscal discipline in a credible, predictable and transparent manner. Still, results on the effectiveness of these laws remain tentative. In this paper, we test empirically...

This paper presents two approaches to modeling the use of IMF resources in order to gauge whether the recent decline in credit outstanding is a temporary or a permanent phenomenon. The two approaches-the time series behavior of credit outstanding and a two-stage program selection and access...

This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the methodology originally developed by Litterman (1986) and Doan et al. (1984) and review alternative...

This paper investigates empirically the sources of aggregate output growth and the determinants of total factor productivity (TFP) in Niger between 1963 and 2003. A growth accounting analysis indicates that the erosion in output per capita over the sample period is due to the negative growth of...

“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...

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty estimates, the sign and magnitude of which...