Labor Economists Get Their Microscope: Big Data and Labor Market Analysis

Big Data ◽  
2015 ◽  
Vol 3 (3) ◽  
pp. 130-137 ◽  
Author(s):  
John J. Horton ◽  
Prasanna Tambe
2019 ◽  
Author(s):  
Norihiko Matsuda ◽  
Tutan Ahmed ◽  
Shinsaku Nomura

2021 ◽  
Vol 93 ◽  
pp. 03017
Author(s):  
Alena Vankevich ◽  
Iryna Kalinouskaya ◽  
Olga Zaitseva ◽  
Alena Korabava

The actual methods of labor market analysis are based on outdated technologies for collecting information and do not consider the competencies available in the CV and in demand by vacancies. In order to obtain reliable current information on the balance of the workforce quality, as the carrier of certain competencies, and market requirements, the method is proposed for determining the degree of their consistency through the ratio of competencies available to applicants and those requested by employers. The proposed methodology, based on big data technologies, uses artificial intelligence as the main toolkit which makes it possible to quickly and efficiently collect, process and visualize the obtained data, which makes it possible to conduct its further qualitative analysis in the context of the proposed / demanded competencies, professions, regions and types of economic activities. As a practical interpretation of the proposed methodology, the paper analyzes the degree of consistency of existing / demanded competencies in the context of the regions of Belarus.


1981 ◽  
Vol 15 (2) ◽  
pp. 423-434 ◽  
Author(s):  
Carolyn Shaw Bell
Keyword(s):  

2019 ◽  
Vol 4 (4) ◽  
pp. 298-322 ◽  
Author(s):  
Moshe A. Barach ◽  
Aseem Kaul ◽  
Ming D. Leung ◽  
Sibo Lu
Keyword(s):  
Big Data ◽  

ILR Review ◽  
1951 ◽  
Vol 4 (3) ◽  
pp. 393-401
Author(s):  
Louis Levine
Keyword(s):  

1984 ◽  
Vol 3 (3) ◽  
pp. 473
Author(s):  
Edward Cavin ◽  
Caroline Joll ◽  
Chris McKenna ◽  
Robert McNabb ◽  
John Shorey
Keyword(s):  

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