GDP-spillovers in multi-country models
AbstractSpillovers resulting from fiscal and monetary policy are compared and analysed in small static, small dynamic and large dynamic multi-country models. To compare the size of the spillovers, we consider simulations in which GDP for a certain number of years is held one percent above base in the country where the shock originates. The results indicate that spillovers are large in size. An important transmission mechanism in the contribution to foreign GDP is found to be the foreign real interest rate, contributions to foreign GDP generated through trade are found to be small. In empirical models with endogenous exchange and interest rates, it was found that under floating exchange rate regimes spillovers are much smaller than under pegged exchange rate regimes. Furthermore, we note that under floating exchange rate regimes, spillovers seem to be larger in small dynamic models than in large empirical models.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 28506.
Date of creation: 1998
Date of revision:
fiscal shock; monetary shock; multi-country model; GDP; spillover; exhange rate regime; econometric modeling;
Other versions of this item:
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
- F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
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- Wang, Zheng & Li, Hua-Qun & Wu, Jing & Gong, Yi & Zhang, Huan-Bo & Zhao, Chen, 2010. "Policy modeling on the GDP spillovers of carbon abatement policies between China and the United States," Economic Modelling, Elsevier, vol. 27(1), pages 40-45, January.
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