“…Other studies try to analyse the effects of institutional variables, such as the tax wedge, union density, employment protection legislation and unemployment compensation (Røed and Zhang, 2003;Lalive, Van Ours and 4 See Chung and Jung (2016) for further details regarding the PI. 5 The relationship between market segmentation (primary market vs secondary market) and involuntary unemployment is described in Bulow and Summers (1985).…”
Section: Military Service 45%mentioning
confidence: 99%
“…-55,316 -55,277 -54,931 -54,873 -55,323 -55,284 -54,983 -54,879 -37,399 -36,739 -37,403 -36,009 -37,403 -36,800 -36,268 -36,077 * and ** indicate significance at the 10 and 5 per cent levels, respectively. Chung and Jung (2016).…”
Section: Unemployment Duration the Probability Of Employment And Thementioning
confidence: 99%
“…Using data from the country's Graduates Occupational Mobility Survey for 2005-13, the author estimates the effect of macroeconomic variables on university students' job market-related outcomes. Results indicate that labour market polarization, as measured by the labour market polarization index developed by Chung and Jung (2016), has a significant effect on both the nominal and masked (through extension of university enrolment and university transfers) unemployment of university students. These findings imply that the labour market structure is a key element in understanding youth unemployment.…”
mentioning
confidence: 99%
“…Point estimates of the changes in the dependent variables according to changes in labour market conditions Author's calculations based on data from the KEIS Graduates Occupational Mobility Survey; Bank of Korea Economic Statistics System; Korean Statistical Information Service;Chung and Jung (2016).…”
This article aims to assess the effect of the labour market environment on university students’ labour market‐related behaviour in the Republic of Korea. Using data from the country's Graduates Occupational Mobility Survey for 2005–13, the author estimates the effect of macroeconomic variables on university students’ job market‐related outcomes. Results indicate that labour market polarization, as measured by the labour market polarization index developed by Chung and Jung (2016), has a significant effect on both the nominal and masked (through extension of university enrolment and university transfers) unemployment of university students. These findings imply that the labour market structure is a key element in understanding youth unemployment.
“…Other studies try to analyse the effects of institutional variables, such as the tax wedge, union density, employment protection legislation and unemployment compensation (Røed and Zhang, 2003;Lalive, Van Ours and 4 See Chung and Jung (2016) for further details regarding the PI. 5 The relationship between market segmentation (primary market vs secondary market) and involuntary unemployment is described in Bulow and Summers (1985).…”
Section: Military Service 45%mentioning
confidence: 99%
“…-55,316 -55,277 -54,931 -54,873 -55,323 -55,284 -54,983 -54,879 -37,399 -36,739 -37,403 -36,009 -37,403 -36,800 -36,268 -36,077 * and ** indicate significance at the 10 and 5 per cent levels, respectively. Chung and Jung (2016).…”
Section: Unemployment Duration the Probability Of Employment And Thementioning
confidence: 99%
“…Using data from the country's Graduates Occupational Mobility Survey for 2005-13, the author estimates the effect of macroeconomic variables on university students' job market-related outcomes. Results indicate that labour market polarization, as measured by the labour market polarization index developed by Chung and Jung (2016), has a significant effect on both the nominal and masked (through extension of university enrolment and university transfers) unemployment of university students. These findings imply that the labour market structure is a key element in understanding youth unemployment.…”
mentioning
confidence: 99%
“…Point estimates of the changes in the dependent variables according to changes in labour market conditions Author's calculations based on data from the KEIS Graduates Occupational Mobility Survey; Bank of Korea Economic Statistics System; Korean Statistical Information Service;Chung and Jung (2016).…”
This article aims to assess the effect of the labour market environment on university students’ labour market‐related behaviour in the Republic of Korea. Using data from the country's Graduates Occupational Mobility Survey for 2005–13, the author estimates the effect of macroeconomic variables on university students’ job market‐related outcomes. Results indicate that labour market polarization, as measured by the labour market polarization index developed by Chung and Jung (2016), has a significant effect on both the nominal and masked (through extension of university enrolment and university transfers) unemployment of university students. These findings imply that the labour market structure is a key element in understanding youth unemployment.
“…Parmi les variables indicatrices de l'état du marché du travail, nous avons choisi le taux de croissance du PIB et l'indice de polarisation du marché du travail (IP dans la suite du texte) défini par Chung et Jung (2016). Nous rendons compte ainsi de l'effet du cycle économique sur le marché du travail et de la structure de ce même marché.…”
Résumé
Les auteurs analysent l'incidence des caractéristiques du marché du travail sur les comportements d'activité des diplômés de l'université en République de Corée, exploitant des données d'enquête nationales relatives à la période 2005–2013. Ils estiment l'effet de variables macroéconomiques sur les parcours d'insertion, montrant que la polarisation du marché du travail, mesurée par l'indice de Chung et Jung (2016), a un effet significatif sur le chômage des diplômés, y compris sous ses formes masquées (par le report de la remise du diplôme ou une réinscription universitaire). L'analyse de la structure du marché du travail semble donc essentielle à une bonne compréhension du chômage des jeunes.
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