Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/171793 
Erscheinungsjahr: 
2017
Schriftenreihe/Nr.: 
cege Discussion Papers No. 329
Verlag: 
University of Göttingen, Center for European, Governance and Economic Development Research (cege), Göttingen
Zusammenfassung: 
We analyze the effects of automation and education on economic growth and inequality in an R&D-based growth model with two types of labor: high-skilled labor that is complementary to machines and low-skilled labor that is a substitute for machines. The model predicts that innovation-driven growth leads to increasing automation, an increasing skill premium, an increasing population share of college graduates, increasing income and wealth inequality, and a declining labor share. In contrast to conventional wisdom, our theory predicts that faster economic growth promotes inequality. Because education and technology are endogenous, redistribution to low-skilled individuals may actually not improve disposable low-skilled income, irrespective of whether it is financed by taxes on labor income or machine input in production. We extend the model by fair wage concerns and show how automation implies involuntary low-skilled unemployment.
Schlagwörter: 
Automation
R&D-Based Growth
Inequality
Wealth Concentration
Unemployment
Redistribution
JEL: 
E23
E25
O31
O33
O40
Dokumentart: 
Working Paper

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