Leslie matrix matching approach in labor market studies

被引:0
|
作者
Poghosyan, Shogher [1 ]
Manucharyan, Meri [1 ,2 ]
Martirosyan, Gevorg [1 ]
Azatyan, Liana [1 ]
Asatryan, Hovhannes [1 ]
机构
[1] Natl Acad Sci Republ Armenia, Inst Econ, Dept Dev Serv Sect & Sociodemog Issues, Yerevan, Armenia
[2] Armenian Natl Agrarian Univ, Dept Agribusiness & Econ, Yerevan, Armenia
来源
COGENT ARTS & HUMANITIES | 2024年 / 11卷 / 01期
关键词
Labor; Leslie matrix; digital knowledge; structural changes; Economics; Education; Sociology; J10; J2; J6; J01; JOBS; POLARIZATION;
D O I
10.1080/23311983.2024.2426364
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
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页数:10
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