Arbeitspapier
A model-based analysis of the macroeconomic impact of the refugee migration to Germany
By simulating various (labour market) integration scenarios with the aid of a New Keynesian DSGE model, this paper explores the potential economic consequences and transmission mechanisms resulting from the recent refugee migration to Germany. We find that the long-run costs and benefits for domestic agents depend critically on the skill levels migrants will obtain in the long run. A failure to integrate the about 800,000 migrants (equivalent to 1% of initial German population) could reduce per capita output and consumption by 0.43% and 0.48%, respectively, while integration measures that improve their qualification structure could even yield per capita output and consumption gains of 0.34% and 0.38%, respectively. Measures that cause the migrant qualification structure to closely match that of the native population over the long term do not lead to significant changes in GDP and consumption. Overall, our model simulations suggest that the macroeconomic impact of refugee migration is small.
- ISBN
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978-3-95729-347-3
- Language
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Englisch
- Bibliographic citation
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Series: Bundesbank Discussion Paper ; No. 05/2017
- Classification
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Wirtschaft
International Migration
Geographic Labor Mobility; Immigrant Workers
Wage Level and Structure; Wage Differentials
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
- Subject
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Refugee Migration
Labour Market Integration
Macroeconomics
- Event
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Geistige Schöpfung
- (who)
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Stähler, Nikolai
- Event
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Veröffentlichung
- (who)
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Deutsche Bundesbank
- (where)
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Frankfurt a. M.
- (when)
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2017
- Handle
- Last update
- 10.03.2025, 11:44 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
- Stähler, Nikolai
- Deutsche Bundesbank
Time of origin
- 2017