Institutions, abilities, and the allocation of talent: Evidence from Russian regions
Michael Alexeev,
Timur Natkhov and
Leonid Polishchuk
Journal of Comparative Economics, 2024, vol. 52, issue 1, 271-296
Abstract:
Strong institutions attract talent to productive activities, whereas weak ones raise the appeal of rent seeking. We propose a theory that describes the impact of institutions on occupational choices over a range of abilities, and predicts that the sensitivity of such choices to the quality of institutions rises in talent when the latter increases from low to intermediate levels, and declines thereafter. To test these predictions empirically, we use a unique micro data set describing the choices of fields of studies by newly enrolled university students in Russian regions in 2011–2014. We show that the popularity of sciences and engineering, on one hand, and law and public administration, on the other, are linked to the quality of regional investment climate and another measure of institutional quality in a manner predicted by our theory.
Keywords: Institutions; Allocation of talent; Rent seeking; Human capital (search for similar items in EconPapers)
JEL-codes: D02 I25 J24 O43 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0147596723000987
Full text for ScienceDirect subscribers only
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:eee:jcecon:v:52:y:2024:i:1:p:271-296
DOI: 10.1016/j.jce.2023.11.003
Access Statistics for this article
Journal of Comparative Economics is currently edited by D. Berkowitz and G. Roland
More articles in Journal of Comparative Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().