hrcak mascot   Srce   HID

Croatian Economic Survey, Vol. 22 No. 2, 2020.

Izvorni znanstveni članak
https://doi.org/10.15179/ces.22.2.2

An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis

Jelena Rkman ; Graduate School of Economics, Osaka University, Osaka, Japan

Puni tekst: engleski, pdf (936 KB) str. 35-72 preuzimanja: 143* citiraj
APA 6th Edition
Rkman, J. (2020). An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis. Croatian Economic Survey, 22 (2), 35-72. https://doi.org/10.15179/ces.22.2.2
MLA 8th Edition
Rkman, Jelena. "An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis." Croatian Economic Survey, vol. 22, br. 2, 2020, str. 35-72. https://doi.org/10.15179/ces.22.2.2. Citirano 12.04.2021.
Chicago 17th Edition
Rkman, Jelena. "An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis." Croatian Economic Survey 22, br. 2 (2020): 35-72. https://doi.org/10.15179/ces.22.2.2
Harvard
Rkman, J. (2020). 'An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis', Croatian Economic Survey, 22(2), str. 35-72. https://doi.org/10.15179/ces.22.2.2
Vancouver
Rkman J. An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis. Croatian Economic Survey [Internet]. 2020 [pristupljeno 12.04.2021.];22(2):35-72. https://doi.org/10.15179/ces.22.2.2
IEEE
J. Rkman, "An Estimated Search and Matching Model of the Croatian Labor Market: Post-crisis Analysis", Croatian Economic Survey, vol.22, br. 2, str. 35-72, 2020. [Online]. https://doi.org/10.15179/ces.22.2.2

Sažetak
The paper specifies a simple search and matching model of the labor market and studies how well the model can describe aggregate Croatian labor market dynamics. The model developed is a discrete-time search and matching model with convex vacancy posting costs and two types of shocks: productivity and separation shocks. The model is estimated on unemployment and vacancy data during the period from 2012 to 2020 by using Bayesian methods. The model fits the data well and the estimation shows that productivity shocks are the main driving force of the fluctuations in the labor market, especially for the case of vacancies and output, while the separation shock process accounts for a large percentage of unemployment fluctuations.

Ključne riječi
unemployment fluctuations; search and matching; Croatia; Bayesian estimation

Hrčak ID: 248392

URI
https://hrcak.srce.hr/248392

Posjeta: 312 *