This paper develops a structural macroeconometric model of the world economy, disaggregated into thirty five national economies. This panel unobserved components model features a monetary transmission mechanism, a fiscal transmission mechanism, and extensive macrofinancial linkages, both within...

This is the fourth of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In...

This paper develops a panel unobserved components model of the monetary transmission mechanism in the world economy, disaggregated into its fifteen largest national economies. This structural macroeconometric model features extensive linkages between the real and financial sectors, both within...

This paper presents a semi-structural macroeconomic model aimed at facilitating policy analysis and forecasting, primarily in countries with imperfect capital mobility and hybrid monetary policy regimes. Compared to earlier gap-trend projection models, the Forecasting Model of Internal and...

This paper presents GMMET, the Global Macroeconomic Model for the Energy Transition, and provides documentation of the model structure, data sources and model properties. GMMET is a large-scale, dynamic, non-linear, microfounded multicountry model whose purpose is to analyze the short- and...

The paper describes the Quarterly Projection Model (QPM) that underlies the Bank of Ghana Forecasting and Policy Analysis System (FPAS). The New Keynesian semi-structural model incorporates the main features of the Ghanaian economy, transmission channels and policy framework, including an...

The IMF Working Papers series is designed to make IMF staff research available to a wide audience. Almost 300 Working Papers are released each year, covering a wide range of theoretical and analytical topics, including balance of payments, monetary and fiscal issues, global liquidity, and...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, one of which is deterministic without the technological shock and the other is stochastic. The...

We develop a quantitative spatial general equilibrium model with heterogeneous house-holds and multiple locations to study households' vulnerability to food insecurity from cli-mate shocks. In the model, households endogenously respond to negative climate shocks by drawing-down assets, importing...