Retirement expectations of older workers in Europe. What can microdata tell us?

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dc.contributor.advisor Cavapozzi, Danilo it_IT
dc.contributor.author Zanardo, Chiara <1994> it_IT
dc.date.accessioned 2020-02-17 it_IT
dc.date.accessioned 2020-06-16T06:52:16Z
dc.date.available 2020-06-16T06:52:16Z
dc.date.issued 2020-03-09 it_IT
dc.identifier.uri http://hdl.handle.net/10579/16946
dc.description.abstract In the last decades, several European countries have reformed deeply their pension system with the objective of enhancing their financial sustainability. As a consequence, the responsibility for pension adequacy was mainly shifted from the governments to the workers, who nowadays have to plan their retirement in advance and recur to investment products on the private market. Individuals’ expectations about retirement can lead to efficient planning only if individuals are aware of the pension system characteristics and their expectations correspond with the economic choice eventually adopted. The research aims to present the information contained in the retirement expectations of older workers collected in the Survey of Health, Ageing and Retirement in Europe. The sample used in the analysis is representative of the population of workers aged 50-65 and living in 9 countries, allowing a European cross-country perspective. Indeed, the analysis shows to what extent individuals’ expectations about retirement are affected by actual characteristics of the Social Security system and, in addition, to what extent retirement age and replacement rate expectations align with their subsequent realizations. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Chiara Zanardo, 2020 it_IT
dc.title Retirement expectations of older workers in Europe. What can microdata tell us? it_IT
dc.title.alternative Retirement expectations of older workers in Europe. What can microdata tell us? it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Global development and entrepreneurship it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2018/2019, sessione straordinaria it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 848170 it_IT
dc.subject.miur SECS-P/05 ECONOMETRIA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Chiara Zanardo (848170@stud.unive.it), 2020-02-17 it_IT
dc.provenance.plagiarycheck Danilo Cavapozzi (danilo.cavapozzi@unive.it), 2020-03-02 it_IT


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