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Wage Setting and Unemployment: Evidence from Online Job Vacancy Data

Author

Listed:
  • Oleksandr Faryna

    (National Bank of Ukraine)

  • Tho Pham

    (University of Reading)

  • Oleksandr Talavera

    () (University of Birmingham)

  • Andriy Tsapin

    (National Bank of Ukraine)

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.

Suggested Citation

  • Oleksandr Faryna & Tho Pham & Oleksandr Talavera & Andriy Tsapin, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," Discussion Papers 20-03, Department of Economics, University of Birmingham.
  • Handle: RePEc:bir:birmec:20-03
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    Keywords

    Phillips curve; wage curve; heterogeneity; micro data; online vacancies.;

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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