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Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics

Saša Obradović et al · Faculty of Economics University of Rijeka · 2018

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This article aims to answer the questions concerning the dynamics of unemployment rates, including whether there is a subsequent hysteresis in the selected sample of ten countries of the South East Europe. The linear and nonlinear tests have been used to determine the stationarity of unemployment rates. The findings show that in eight out of ten countries, unemployment is a stationary process which implies that the hysteresis hypothesis has not been confirmed. The unemployment rates in Albania, Bulgaria, Slovenia, Croatia, Romania, Greece, Montenegro and Turkey manifest mean reverting behaviour. The movements of unemployment rates in the next period can be forecasted with a relatively high degree of certainty in terms of the mentioned countries. The unemployment in FYR Macedonia and Serbia is a non-stationary process. The results further emphasize the importance of allowing asymmetric adjustment and structural breaks, especially in the case of Romania, Montenegro and Turkey.

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APA 7

al, S. O. E. (2018). Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics. https://doi.org/10.18045/zbefri.2018.2.559

MLA

al, Saša Obradović et. "Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics." 2018. https://doi.org/10.18045/zbefri.2018.2.559.

Chicago

al, Saša Obradović et. 2018. "Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics.". https://doi.org/10.18045/zbefri.2018.2.559.

Harvard

al, S. O. E. 2018, Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics, Faculty of Economics University of Rijeka, available at: https://doi.org/10.18045/zbefri.2018.2.559 [Accessed 7 Aug. 2026].

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Title
Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics
Author / contributors
Saša Obradović et al
Publisher
Faculty of Economics University of Rijeka
Publication year
2018
ISSN
1331-8004
ISSN
1331-8004
Language
English

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