2007
DOI: 10.2139/ssrn.1820916
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No Education, No Good Jobs? Evidence on the Relationship between Education and Labor Market Segmentation

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 46 publications
(58 citation statements)
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References 28 publications
(17 reference statements)
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“…On the other hand, some countervailing factors may reduce the magnitude of our results. First, non‐graduates may find low‐cost entry in the informal sector (Bernabè and Stampini, ; Pages and Stampini, ), while graduates may avoid this option because it is associated with rapid deskilling. This does not seem to be the case in South Africa during the financial crisis, as a decrease in the share of non‐graduates in informal employment is observed.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, some countervailing factors may reduce the magnitude of our results. First, non‐graduates may find low‐cost entry in the informal sector (Bernabè and Stampini, ; Pages and Stampini, ), while graduates may avoid this option because it is associated with rapid deskilling. This does not seem to be the case in South Africa during the financial crisis, as a decrease in the share of non‐graduates in informal employment is observed.…”
Section: Discussionmentioning
confidence: 99%
“…Fixed effects estimates of wage differentials based on longitudinal data control for unobserved heterogeneity as long as the unobserved characteristics are time-invariant and equally remunerated across jobs. Even though the use of longitudinal data has its own problems when assessing wage gaps (Solon 1988), we report on two studies that employ panel data: Pagés and Stampini (2009) and Lehmann and Pignatti (2007), since they provide relatively reliable estimates of formal-informal wage gaps.…”
Section: Wage Gap Analysismentioning
confidence: 99%
“…To account for this artifact researchers produce transition matrices that are adjusted for the relative size of a state and for its capacity to generate vacancies. The studies by Lehmann and Pignatti (2007) on Ukraine, by Pagés and Stampini (2009) on 3 Latin American and 3 post-transition countries 6 , by Bernabè and Stampini (2009)…”
Section: Mobility Analysismentioning
confidence: 99%
“…Pages and Stampini () use panel data from a sample of six countries and explore labor market segmentation across formal and informal sectors and self‐employment, investigating mobility patterns and wage differentials across the segments. Outcomes suggest that there is a wage premium in the formal sector compared with the informal sector in the three Latin American countries while there is no wage differential in the three transition countries.…”
Section: The Informal Sector and Mobility Patterns In Developing Counmentioning
confidence: 99%
“…This is the very first longitudinal survey ever made in Algeria. It is worth mentioning that employment surveys in Ukraine (Nezhyvenko & Adair, ; Pagès & Stampini, ) and Russia (Najman & Pailhé, ) use rotative samples, instead of cohorts addressing the same individuals.…”
Section: Introductionmentioning
confidence: 99%