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Determinants of Retirement Status: Comparative Evidence from Old and New EU Member States - Softcover

 
9783848407804: Determinants of Retirement Status: Comparative Evidence from Old and New EU Member States
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This work analyzes how different factors related with health, demographics, behavior, financial status, and macroeconomics can affect retirement status in European Union countries. Linear probability model is used as an estimation method for data collected from the SHARE Wave 2 dataset and UN sources. The results are interpreted and the impacts of these factors are explained comparing them with the results already provided in the academic literature. Also results for New EU Member States and Old Member States are compared and the differences are explained. We find that males are less likely to be retired compared with females in New Member States, which is the opposite result than we find for Old Member States. The reasons for these results can be the facts that significant gender wage gap exists in New Member States, household sizes are bigger in these countries than in Old Member States and males play important role in household income which make them retire less than females.

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Rashad Mehbaliyev received MA in Economics at Central European University (CEU) in Hungary and BA in Management at The Academy of Public Administration in Azerbaijan. He spent his student years in social activism (European Youth Parliament, Board Member of Student Union, and etc.). He currently works at IBM (International Business Machines Corp).

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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work analyzes how different factors related with health, demographics, behavior, financial status, and macroeconomics can affect retirement status in European Union countries. Linear probability model is used as an estimation method for data collected from the SHARE Wave 2 dataset and UN sources. The results are interpreted and the impacts of these factors are explained comparing them with the results already provided in the academic literature. Also results for New EU Member States and Old Member States are compared and the differences are explained. We find that males are less likely to be retired compared with females in New Member States, which is the opposite result than we find for Old Member States. The reasons for these results can be the facts that significant gender wage gap exists in New Member States, household sizes are bigger in these countries than in Old Member States and males play important role in household income which make them retire less than females. 56 pp. Englisch. Seller Inventory # 9783848407804

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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work analyzes how different factors related with health, demographics, behavior, financial status, and macroeconomics can affect retirement status in European Union countries. Linear probability model is used as an estimation method for data collected from the SHARE Wave 2 dataset and UN sources. The results are interpreted and the impacts of these factors are explained comparing them with the results already provided in the academic literature. Also results for New EU Member States and Old Member States are compared and the differences are explained. We find that males are less likely to be retired compared with females in New Member States, which is the opposite result than we find for Old Member States. The reasons for these results can be the facts that significant gender wage gap exists in New Member States, household sizes are bigger in these countries than in Old Member States and males play important role in household income which make them retire less than females. Seller Inventory # 9783848407804

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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mehbaliyev RashadRashad Mehbaliyev received MA in Economics at Central European University (CEU) in Hungary and BA in Management at The Academy of Public Administration in Azerbaijan. He spent his student years in social activism (Eu. Seller Inventory # 5520030

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