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Abstract ▼ AI-Helper

This study explores the determinants of retirement and retirement satisfaction through binary logit model as well as the characteristics of retirees using KLoSA(2005), which reflects various and deep information about retirees. In this paper I focus on the "work vs. retire" analysis through clearer ...

This study explores the determinants of retirement and retirement satisfaction through binary logit model as well as the characteristics of retirees using KLoSA(2005), which reflects various and deep information about retirees. In this paper I focus on the "work vs. retire" analysis through clearer category for the retirees who are selected by their own personal judgement based on the appropriate survey questions while previous literatures choose the retirees based on somewhat arbitrary age or proxy variables and then try to analyzes "work vs. not-work". The cross-sectional data indicate that the older who are older than 45 year old are poorly preparing the coming retire time because they have small amount of accumulated assets as well as are mainly depending on transferring income from family or relatives. The estimation results illustrate that the age, education costs for children, health status, and non-labor income or assets after retirement affect the decision of retirements. Especially the age has an significant effect on it partly due to non-voluntary regular retirement practice in Korea. Also the estimation results show that non-voluntary retirement, unhealthy status, and smaller amount of real estates diminish the satisfaction of retirement while the job status such as regular or irregular when they retire does not have significant effect on it.

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