Learning and Cross-Country Correlations in a Multi-Country DSGE Model
In: EEREV-D-22-00076
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In: EEREV-D-22-00076
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In: ECB Working Paper No. 1891
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In: Applied Economics Quarterly, Band 59, Heft 1, S. 27-61
ISSN: 1865-5122
While the theoretical development of DSGE models is not overly difficult to understand, practical application remains somewhat complex. The literature on this subject has some significant obscure points. This book can be thought of, firstly, as a tool to overcome initial hurdles with this type of modeling. Secondly, by showcasing concrete applications, it aims to persuade incipient researchers to work with this methodology. In principle, this is not a book on macroeconomics in itself, but on tools used in the construction of this sort of models. It strives to present this technique in a detail
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In: Journal of international economics, Band 19, Heft 3-4, S. 387-390
ISSN: 0022-1996
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We present a two-country New Open Economy Macro model of the Austrian economy within the European Union's Economic & Monetary Union (EMU). The model includes both nominal and real frictions that have proven to be important in matching business cycle facts, and that allows for an investigation of the effects and cross-country transmission of a number of structural shocks: shocks to technologies, shocks to preferences, cost-push type shocks and policy shocks. The model is estimated using Bayesian methods on quarterly data covering the period of 1976:Q1-2005:Q1. In addition to the assessment of the relative importance of various shocks, the model also allows to investigate effects of the monetary regime switch with the final stage of the EMU and investigates in how far this has altered macroeconomic transmission. We find that Austria's economy appears to react stronger to demand shocks, while in the rest of the Euro Area supply shocks have a stronger impact. Comparing the estimations on pre-EMU and EMU subsamples we find that the contribution of (rest of the) Euro Area shocks to Austria's business cycle fluctuations has increased significantly.
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In: Tinbergen institute research series 230
In: Research series
In: Oxford Bulletin of Economics and Statistics, Band 76, Heft 6, S. 812-840
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