Achtung: hohPublica wurde am 18.11.2024 aktualisiert. Falls Sie auf Darstellungsfehler stoßen, löschen Sie bitte Ihren Browser-Cache (Strg + Umschalt + Entf). *** Attention: hohPublica was last updated on November 18, 2024. If you encounter display errors, please delete your browser cache (Ctrl + Shift + Del).
 

A new version of this entry is available:

Loading...
Thumbnail Image
ResearchPaper
2017

The lost race against the machine : automation, education and inequality in an R&D-based growth model

Abstract (English)

We analyze the effect of automation on economic growth and inequality in an R&D-based growth model with two types of labor: highskilled labor that is complementary to machines and low-skilled labor that is a substitute for machines. The model predicts that innovationdriven growth leads to increasing automation, an increasing skill premium, an increasing population share of graduates, increasing income and wealth inequality, a declining labor share, and (in an extension of the basic model) increasing unemployment. In contrast to Pikettys famous claim that faster economic growth reduces inequality, our theory predicts that faster economic growth promotes inequality.

File is subject to an embargo until

This is a correction to:

A correction to this entry is available:

This is a new version of:

Notes

Publication license

Publication series

Hohenheim discussion papers in business, economics and social sciences; 2017,08

Published in

Faculty
Faculty of Business, Economics and Social Sciences
Institute
Institute of Economics

Examination date

Supervisor

Edition / version

Citation

DOI

ISSN

ISBN

Language
English

Publisher

Publisher place

Classification (DDC)
330 Economics

Original object

Sustainable Development Goals

BibTeX

@techreport{Prettner2017, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6129}, author = {Prettner, Klaus and Strulik, Holger}, title = {The lost race against the machine : automation, education and inequality in an R&D-based growth model}, year = {2017}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
Share this publication