Author: Iva Tomić1
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  • 1 The Institute of Economics Department for Labour Market, Human Resources and Social Issues Zagreb Croatia
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This article investigates the efficiency of the matching process by panel stochastic frontier estimation of the matching function in Croatia. The empirical analysis is conducted on a regional level using regional office-level monthly data obtained from the Croatian Employment Service for 2000–2011. The results suggest that the efficiency of the matching process is rising over time, although with significant regional variations. In order to explore these variations, structural characteristics of the labour market together with some policy variables are included in the second-stage estimation. Various structural variables have different impact on the matching efficiency, while policy variables are mostly positively correlated with it. For instance, both active labour market programs and the number of high-skilled employees in regional employment offices positively affect matching efficiency. Additionally, when regional income per capita is included in the model, it shows positive impact on the matching efficiency, indicating that demand fluctuations predominantly affect the matching process. Finally, in order to get consistent estimates, panel stochastic frontier model transformation is applied. The obtained results show that there is no major difference in estimated mean technical efficiency coefficients in comparison to the original estimation.

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Senior editors

Editor(s)-in-Chief: Prof. Dr. Mihályi, Péter

Editor(s): Ványai, Judit

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  • Ádám Török (Chairman) / University of Pannonia; Budapest University of Technology and Economics
  • Edina Berlinger / Corvinus University of Budapest, Department of Finance
  • Beáta Farkas / Faculty of Economics and Business Administration, University of Szeged
  • Péter Halmai / Budapest University of Technology and Economics; National University of Public Service
  • István Kónya / Institute of Economics Centre for Regional and Economic Studies, University of Pécs
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  • Kolodko, Grzegorz, Kozminski University, Warsaw (Poland)
  • Mau, Vladimir, Academy of National Economy (Russia)
  • Messerlin, Patrick A, Groupe d’Economie Mondiale (France)
  • Saul Estrin, London School of Economics (UK)
  • Wagener, Hans-Jürgen, Europa Universität Viadrina (Germany)

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2020  
Total Cites 275
WoS
Journal
Impact Factor
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Impact Factor  
Impact Factor 0,534
without
Journal Self Cites
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Impact Factor
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Citable 37
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Articles
Total 0
Reviews
Scimago 13
H-index
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Scimago Economics and Econometrics Q3
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2019  
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WoS
212
Impact Factor 0,914
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without
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5 Year
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Immediacy
Index
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Citable
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45
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Acta Oeconomica
Language English
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1966
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2021 Volume 71
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