EconPapers    
Economics at your fingertips  
 

Automation, New Technology, and Non-Homothetic Preferences

Clemens Struck () and Adnan Velic
Additional contact information
Clemens Struck: University College Dublin

Economic Papers from Trinity College Dublin, Economics Department

Abstract: This paper provides a microfoundation of the neoclassical growth theory. To rationalize a substantial share of labor in income despite ongoing automation of tasks, we present a simple model in which demand shifts toward goods of increasing sophistication along a vertically differentiated production structure. Automation of more advanced goods requires increasingly sophisticated capital which remains scarce along the growth path. This is why labor maintains a substantial share in income independent of core parameter assumptions. While our model features an entirely different mechanism, we show that its aggregate representation is the one of a neoclassical model with labor-augmenting technical change.

Keywords: Uzawa s theorem; automation; goods quality; structural change; reallocations; growth; non-homothetic preferences; hierarchical demand (search for similar items in EconPapers)
JEL-codes: E23 E25 J24 O14 O33 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2017-05
New Economics Papers: this item is included in nep-gro and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.tcd.ie/Economics/TEP/2017/TEP1217.pdf

Related works:
Working Paper: Automation, New Technology and Non-Homothetic Preferences (2019) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tcd:tcduee:tep1217

Access Statistics for this paper

More papers in Economic Papers from Trinity College Dublin, Economics Department Contact information at EDIRC.
Bibliographic data for series maintained by Colette Angelov ().

 
Page updated 2025-04-01
Handle: RePEc:tcd:tcduee:tep1217