Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/180103 
Year of Publication: 
2017
Citation: 
[Journal:] Baltic Journal of Economics [ISSN:] 2334-4385 [Volume:] 17 [Issue:] 2 [Publisher:] Taylor & Francis [Place:] London [Year:] 2017 [Pages:] 119-135
Publisher: 
Taylor & Francis, London
Abstract: 
I identify which theoretical model (random, stock–flow, or job queuing) best describes the matching mechanism in the labour market in Poland. The purpose of this work is to formulate policy recommendations aimed at increasing the number of matches. I use monthly registered unemployment data for the period January 1999–June 2013 and econometrically correct for temporal aggregation bias in the data. I extend known solutions and apply them directly to a job queuing model. Job seekers (from the pool) seek work among old and new job posts, but only a small fraction of the newly unemployed individuals find work quickly. Vacancies are the driving force in aggregate hiring, but the inflow is more important than the stock. The random model has greater explanatory power, although the results do not negate the non- random model. Hence, better information and higher inflows (especially of job offers) should facilitate matching.
Subjects: 
Stock–flow matching
random matching
job queuing
Polish labour market
temporal aggregation
JEL: 
J63
J64
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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