We estimate a panel VAR model that captures cross-country, dynamic interlinkages for 10 euro area countries using quarterly data for the period 1999-2016. Our analysis suggests that fiscal spillovers are significant and tend to be larger for countries with close trade and financial links as...

Given the backdrop of pressing infrastructure needs, this paper argues that higher German public investment would not only stimulate domestic demand in the near term and reduce the current account surplus, but would also raise output over the longer-run as well as generate beneficial regional...

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...

The Global Integrated Monetary and Fiscal model (GIMF) is a multi-region DSGE model developed by the Economic Modeling Division of the IMF for policy and scenario analysis. This paper compares two versions of GIMF, GIMF with a conventional financial accelerator, where bank balance sheets do not...

Germany and the Czech Republic, Hungary, Poland, and Slovakia (the CE4) have been in a process of deepening economic integration which has lead to the development of a dynamic supply chain within Europe — the Germany-Central European Supply Chain (GCESC). Model-based simulations suggest two...

This paper uses an individual-level survey conducted by the Edelman Trust Barometer in mid-April for 11 advanced and emerging market economies to examine perceptions of government performance in managing the health and economic crisis, beliefs about the future, and attitudes about...

The Flexible System of Global Models (FSGM) is a group of models developed by the Economic Modeling Division of the IMF for policy analysis. A typical module of FSGM is a multi-region, forward-looking semi-structural global model consisting of 24 regions. Using the three core modules focused on...