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Leslie matrix matching approach in labor market studies

Authors :
Shogher Poghosyan
Meri Manucharyan
Gevorg Martirosyan
Liana Azatyan
Hovhannes Asatryan
Source :
Cogent Arts & Humanities, Vol 11, Iss 1 (2024)
Publication Year :
2024
Publisher :
Taylor & Francis Group, 2024.

Abstract

This article aims to identify the possibilities of combining existing approaches in ecology with the challenges of the labor market in the current era of digitalization and to identify what qualitative changes the labor market may undergo under the impact of digital knowledge acquisition. This article contains original ideas as it proposes a methodology framework that combines the long-known population prediction model in ecology (the Leslie matrix) with empiric economic methods for labor studies. The proposed framework, which includes a two-stage empirical approach and employs the Leslie matrix, can help determine how digital knowledge can affect the quality of structural changes occurring in labor. The proposed approach is useful for policymakers for various purposes, such as predicting structural changes in a labor market, assessing the effectiveness of state support programs, and for the private sector, big corporations, and state administration bodies to predict the possibilities of changes in job structure resulting from digital knowledge acquisition.

Details

Language :
English
ISSN :
23311983
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cogent Arts & Humanities
Publication Type :
Academic Journal
Accession number :
edsdoj.035ff0de8c504c66a6b39abf97335108
Document Type :
article
Full Text :
https://doi.org/10.1080/23311983.2024.2426364