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Wage Setting and Unemployment: Evidence from Online Job Vacancy Data

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dc.contributor.author Faryna, Oleksandr
dc.contributor.author Pham, Tho
dc.contributor.author Talavera, Oleksandr
dc.contributor.author Tsapin, Andriy
dc.date.accessioned 2021-08-17T16:11:05Z
dc.date.available 2021-08-17T16:11:05Z
dc.date.issued 2020
dc.identifier.citation Wage Setting and Unemployment: Evidence from Online Job Vacancy Data [electronic resourse] / Oleksandr Faryna, Tho Pham, Oleksandr Talavera, Andriy Tsapin // GLO Discussion Paper. - 2020. - No. 503. - [49] p. en_US
dc.identifier.uri http://ekmair.ukma.edu.ua/handle/123456789/20549
dc.description.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. en_US
dc.language.iso uk uk_UA
dc.subject Phillips curve en_US
dc.subject wage curve en_US
dc.subject heterogeneity en_US
dc.subject micro data en_US
dc.subject online vacancies en_US
dc.subject working paper en_US
dc.title Wage Setting and Unemployment: Evidence from Online Job Vacancy Data en_US
dc.type Other uk_UA
dc.status first published uk_UA
dc.relation.source GLO Discussion Paper. en_US


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