Wage Setting and Unemployment: Evidence from Online Job Vacancy Data
Oleksandr Faryna,
Tho Pham,
Oleksandr Talavera () and
Andriy Tsapin
Additional contact information
Oleksandr Faryna: National Bank of Ukraine
Discussion Papers from Department of Economics, University of Birmingham
Abstract:
This paper examines the relationship between labour market conditions and wage dynamics by exploiting a unique dataset of 0.8 million online job vacancies. We find a weak trade-off between aggregated national-level wage inflation and unemployment. This link becomes more evident when wage inflation is disaggregated at sectoral and occupational levels. Using exogenous variations in local market unemployment as the main identification strategy, a negative correlation between vacancy-level wage and unemployment is also established. The correlation magnitude, however, is different across regions and skill segments. Our findings suggest the importance of micro data's unique dimensions in examining wage setting – unemployment relationship.
Keywords: Phillips curve; wage curve; heterogeneity; micro data; online vacancies. (search for similar items in EconPapers)
JEL-codes: C55 E24 E31 E32 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2020-02
New Economics Papers: this item is included in nep-lab and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://repec.cal.bham.ac.uk/pdf/20-03.pdf
Related works:
Working Paper: Wage Setting and Unemployment: Evidence from Online Job Vacancy Data (2020) 
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:bir:birmec:20-03
Access Statistics for this paper
More papers in Discussion Papers from Department of Economics, University of Birmingham Contact information at EDIRC.
Bibliographic data for series maintained by Oleksandr Talavera ().