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Technological Bias and Unemployment: A Macroeconomic Perspective.

Authors: Sneessens, Henri R.;

Technological Bias and Unemployment: A Macroeconomic Perspective.

Abstract

This paper focuses on the macroeconomic impact of introducing new technologies (among which information technologies) when the latter stimulate the relative demand for high-skilled labour. The fact that there is biased technical progress (or at least, that growth has asymmetric effects) is little disputed. Evaluating its effect on unemployment still remains a difficult task. This paper stresses the need to rely on a genuine structural analysis. To clarify some of these issues, we develop a simple analytical framework with two types of labour (high- and low-skilled). This framework is used to distinguish macroeconomic vs structural shocks, and to illustrate the interactions between macroeconomic and structural phenomena as well as their implications for the interpretation of simple mismatch indicators. The framework is next used as a reference setup wherein to evaluate and compare the empirical modelling approaches used by different authors and the results they obtain.

Country
Belgium
Related Organizations
Keywords

Mismatch; equilibrium unemployment; NAIRU; skill bias, Mismatch, Equilibrium unemployment, NAIRU, Skill bias, jel: jel:J60, jel: jel:E24

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green