This paper, together with a technical companion paper, presents MAPMOD, a new IMF model designed to study vulnerabilities associated with excessive credit expansions, and to support macroprudential policy analysis. In MAPMOD, bank loans create purchasing power that facilitates adjustments in the...

This paper presents the theoretical structure of MAPMOD, a new IMF model designed to study vulnerabilities associated with excessive credit expansions, and to support macroprudential policy analysis. In MAPMOD, bank loans create purchasing power that facilitates adjustments in the real economy....

Estimates of potential output are an important ingredient of structured forecasting and policy analysis. Using information on consensus forecasts, this paper extends the multivariate filter developed by Benes and others (2010). Although the estimates in real time are more robust relative to...

The Global Integrated Monetary and Fiscal model (GIMF) is a multi-region, forward-looking, DSGE model developed by the Economic Modeling Division of the IMF for policy analysis and international economic research. Using a 5-region version of the GIMF, this paper illustrates the model’s...

Using stochastic simulations and stability analysis, we compare the performances of different monetary rules in a moderately nonlinear model with those in a time-varying nonaccelerating-inflation rate-of-unemployment (NAIRU) model. Rules that perform well in linear models -- but implicitly...

This paper employs stochastic simulation techniques optimally to calibrate the parameters of some the simple monetary policy rules that have been proposed in the literature. The question of the robustness of these policy rules to model uncertainty is examined. Uncertainties about three elements...

This paper develops a variant of the IMF's Global Economic Model (GEM) suitable to analyze macroeconomic dynamics in open economies, and uses it to assess the effectiveness of Taylor rules and Inflation-Forecast-Based (IFB) rules in stabilizing variability in output and inflation. Our findings...