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A Life-course Perspective on Retirement Trajectories of Colombia’s Older Workers. The roles of family composition and work-related characteristics in explaining retirement from a gender perspective

Aguirre Valverde, María Cristina LU (2018) EKHS42 20181
Department of Economic History
Abstract
The purpose of this study is to investigate the influence of family composition and work-related characteristics on retirement and to identify to what extent these factors explain the differences in retirement rates between men and women. This study is conducted under a life-course perspective framework and uses a logistic regression and a Blinder-Oaxaca decomposition analysis as methodological approaches. Using the Survey on Health, Well- Being, and Ageing (SABE), this study finds that having fewer children does not explain retirement decisions of Colombians. However, women with no children are less likely to retire than women with at least three children because they are more likely to have stable working careers. Regarding work-related... (More)
The purpose of this study is to investigate the influence of family composition and work-related characteristics on retirement and to identify to what extent these factors explain the differences in retirement rates between men and women. This study is conducted under a life-course perspective framework and uses a logistic regression and a Blinder-Oaxaca decomposition analysis as methodological approaches. Using the Survey on Health, Well- Being, and Ageing (SABE), this study finds that having fewer children does not explain retirement decisions of Colombians. However, women with no children are less likely to retire than women with at least three children because they are more likely to have stable working careers. Regarding work-related factors, this study finds that people working in informal activities are less prone to be retired than formal workers because of their limited access to retirement benefits. Lastly, none of these factors appear to explain the differences in retirement between gender. In fact, most of the difference is accounted by non-compositional factors that may be well explained by the gender inequality in the country. (Less)
Popular Abstract
The purpose of this study is to investigate the influence of family composition and work-related characteristics on retirement and to identify to what extent these factors explain the differences in retirement rates between men and women. This study is conducted under a life-course perspective framework and uses a logistic regression and a Blinder-Oaxaca decomposition analysis as methodological approaches. Using the Survey on Health, Well- Being, and Ageing (SABE), this study finds that having fewer children does not explain retirement decisions of Colombians. However, women with no children are less likely to retire than women with at least three children because they are more likely to have stable working careers. Regarding work-related... (More)
The purpose of this study is to investigate the influence of family composition and work-related characteristics on retirement and to identify to what extent these factors explain the differences in retirement rates between men and women. This study is conducted under a life-course perspective framework and uses a logistic regression and a Blinder-Oaxaca decomposition analysis as methodological approaches. Using the Survey on Health, Well- Being, and Ageing (SABE), this study finds that having fewer children does not explain retirement decisions of Colombians. However, women with no children are less likely to retire than women with at least three children because they are more likely to have stable working careers. Regarding work-related factors, this study finds that people working in informal activities are less prone to be retired than formal workers because of their limited access to retirement benefits. Lastly, none of these factors appear to explain the differences in retirement between gender. In fact, most of the difference is accounted by non-compositional factors that may be well explained by the gender inequality in the country. (Less)
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author
Aguirre Valverde, María Cristina LU
supervisor
organization
course
EKHS42 20181
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Colombia, retirement, population ageing, informality, fertility, demographic transition.
language
English
id
8951568
date added to LUP
2018-06-21 13:42:15
date last changed
2018-06-21 13:42:15
@misc{8951568,
  abstract     = {The purpose of this study is to investigate the influence of family composition and work-related characteristics on retirement and to identify to what extent these factors explain the differences in retirement rates between men and women. This study is conducted under a life-course perspective framework and uses a logistic regression and a Blinder-Oaxaca decomposition analysis as methodological approaches. Using the Survey on Health, Well- Being, and Ageing (SABE), this study finds that having fewer children does not explain retirement decisions of Colombians. However, women with no children are less likely to retire than women with at least three children because they are more likely to have stable working careers. Regarding work-related factors, this study finds that people working in informal activities are less prone to be retired than formal workers because of their limited access to retirement benefits. Lastly, none of these factors appear to explain the differences in retirement between gender. In fact, most of the difference is accounted by non-compositional factors that may be well explained by the gender inequality in the country.},
  author       = {Aguirre Valverde, María Cristina},
  keyword      = {Colombia,retirement,population ageing,informality,fertility,demographic transition.},
  language     = {eng},
  note         = {Student Paper},
  title        = {A Life-course Perspective on Retirement Trajectories of Colombia’s Older Workers. The roles of family composition and work-related characteristics in explaining retirement from a gender perspective},
  year         = {2018},
}