SKILL-BIASED TECHNOLOGICAL CHANGE: THE CASE OF THE MENA REGION

Sirine Mnif

Economic Annals, 2016, vol. 61, issue 210, 101 - 116

Abstract: Our work treats the relationship between inequality and technological change. Specifically, we focus on the transmission mechanisms by which technological innovation affects inequality in access to employment. The objective of this article is to determine the effect of the diffusion of innovation on the demand for skilled and non-skilled labour. It focuses on the concept of technological bias and the role of inequality between skilled and unskilled workers. The empirical validation of this work is based on the technique of the dynamic panel. An estimate using the method of Arellano and Bond seems more relevant. There is a positive relationship between innovation and the demand for skilled labour but a negative relationship with unskilled labour. This result is confirmed in our sample of countries.

Keywords: Technological change; inequality in access to employment; skill-biased technological change; complementarity between capital and skilled labour. (search for similar items in EconPapers)
JEL-codes: J21 J23 J24 O33 Q55 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.ekof.bg.ac.rs/wp-content/uploads/2016/10/410-1.pdf (application/pdf)

Related works:
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:beo:journl:v:61:y:2016:i:210:p:101-116

Ordering information: This journal article can be ordered from
http://ea.ekof.bg.ac.rs/

Access Statistics for this article

Economic Annals is currently edited by Will Bartlett

More articles in Economic Annals from Faculty of Economics and Business, University of Belgrade Contact information at EDIRC.
Bibliographic data for series maintained by Goran Petrić ().