Does population density matter in the process of matching heterogeneous job seekers and vacancies?
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DOI: 10.1007/s10663-007-9037-0
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Cited by:
- Baños, José F. & Rodríguez-Álvarez, Ana & Suárez, Patricia, 2016. "Matching frontiers: A random parameter model approach," Efficiency Series Papers 2016/07, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Sanna-Mari Hynninen, 2009. "Matching in local labor markets: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 31(1), pages 15-26, February.
- Rüdiger Wapler & Daniel Werner & Katja Wolf, 2018.
"Active labour market policies in Germany: do regional labour markets benefit?,"
Applied Economics, Taylor & Francis Journals, vol. 50(51), pages 5561-5578, November.
- Wapler, Rüdiger & Werner, Daniel & Wolf, Katja, 2014. "Active labour-market policies in Germany : do regional labour markets benefit?," IAB-Discussion Paper 201428, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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More about this item
Keywords
Matching function; Local labour markets; Population density; Technical efficiency; Education; Heterogeneity; J64; C23;All these keywords.
JEL classification:
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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