Arbeitspapier
Phillips curve shocks and real exchange rate fluctuations: SVAR evidence
Steinsson (2008) shows that real shocks that affect the New Keynesian Phillips curve explain the behavior of the real exchange rate in a sticky-price business cycle model. This paper reveals that these shocks are important for the volatility of the real exchange rate in the data. In a structural VAR analysis, we identify productivity, labor supply, cost-push, government spending, risk premium, and monetary policy shocks using sign restrictions derived from Steinsson's model. We study different methods of variance decomposition. According to the forecast error variance decomposition, the real demand shocks are the most important source of real exchange rate volatility. At business cycle frequencies, however, three supply shocks account for up to 40 percent of real exchange rate fluctuations.
- Language
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Englisch
- Bibliographic citation
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Series: IWQW Discussion Papers ; No. 11/2014
- Classification
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Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Foreign Exchange
Current Account Adjustment; Short-term Capital Movements
Open Economy Macroeconomics
- Subject
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real exchange rate
supply shock
structural vector autoregression
sign restriction
business cycle variance decomposition
- Event
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Geistige Schöpfung
- (who)
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Gehrke, Britta
Yao, Fang
- Event
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Veröffentlichung
- (who)
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Institut für Wirtschaftspolitik und Quantitative Wirtschaftsforschung (IWQW)
- (where)
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Nürnberg
- (when)
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2014
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Gehrke, Britta
- Yao, Fang
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Institut für Wirtschaftspolitik und Quantitative Wirtschaftsforschung (IWQW)
Time of origin
- 2014