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 der dort genannten Lizenz gewährten Nutzungsrechte. This essay provides a comprehensive interpretative framework to understand the reasons why the school-to-work transition (SWT) is so slow and hard in Italy. The country is a typical example of the South European SWT regime, where the educational system is typically rigid and sequential, the labor market has been recently made more flexible through two-tier labor market reforms, and the family has typicallyan important role to absorb the individual and social cost of the passage to adulthood. The main thesis of this essay is that the traditional disorganization of the educational and training system coupled with slow economic growth, rather than the supposedly low degree of labor market flexibility explain high (youth) unemployment. Important reforms of several tiles of the Italian SWT regime -the Jobs Act, important fiscal incentives to hiring youth long term unemployed, the so-called Good School and the related introduction of work-related learning, the European Youth Guarantee and the reform of employment services -have been all recently implemented, which are causing a slow convergence towards the so-called European social model, but it is still too early to draw conclusions as to the impact of such reforms on youth labor market outcomes. Terms of use: Documents inJEL classification: H52; I2; I24; J13; J24.
This study examines the gender wage gap in the USA using two separate cross-sections from the Current Population Survey (CPS). The extensive literature on this subject includes wage decompositions that divide the gender wage gap into "explained" and "unexplained" components. One of the problems with this approach is the heterogeneity of the sample data. In order to address the difficulties of comparing like with like, this study uses a number of different matching techniques to obtain estimates of the gap. By controlling for a wide range of other influences, in effect, we estimate the direct effect of simply being female on wages. However, a number of other factors, such as parenthood, gender segregation, part-time working, and unionization, contribute to the gender wage gap. This means that it is not just the core "like for like" comparison between male and female wages that matters but also how gender wage differences interact with other influences. The literature has noted the existence of these interactions, but precise or systematic estimates of such effects remain scarce. The most innovative contribution of this study is to do that. Our findings imply that the idea of a single uniform gender pay gap is perhaps less useful than an understanding of how gender wages are shaped by multiple different forces.
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