Matching for three: big data evidence on search activity of workers, firms, and employment service
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References listed on IDEAS
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Cited by:
- Bauer Anja & Keveloh Kristin & Mamertino Mariano & Weber Enzo, 2023.
"Competing for Jobs: How COVID-19 Changes Search Behaviour in the Labour Market,"
German Economic Review, De Gruyter, vol. 24(4), pages 323-347, December.
- Bauer, Anja & Keveloh, Kristin & Mamertino, Mariano & Weber, Enzo, 2020. "Competing for jobs: How COVID-19 changes search behaviour in the labour market," IAB-Discussion Paper 202033, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Wolter, Marc Ingo & Mönnig, Anke & Maier, Tobias & Schneemann, Christian & Steeg, Stefanie & Weber, Enzo & Zika, Gerd, 2021. "Langfristige Folgen der Covid-19-Pandemie für Wirtschaft, Branchen und Berufe," IAB-Forschungsbericht 202102, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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More about this item
Keywords
Bundesrepublik Deutschland ; Datengewinnung ; Jobbörse ; matching ; Personalbeschaffung ; Arbeitsagenturen ; Big Data ; Vermittlungserfolg ; Arbeitsuche ; Arbeitsvermittlung;All these keywords.
JEL classification:
- C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
Statistics
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