• Journal of Labour Economics
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• v.35 no.2
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• pp.25-41
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• 2012

This paper estimates the intergenerational income mobility of Korea by applying the new errors-in-variable correction methods to recent waves of the Korea Labor and Income Panel Study. The intergenerational income elasticity estimates ranged from 0.24 to 0.34 show a substantial intergenerational income association in Korea and an upward trend over time.

• Journal of Families and Better Life
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• v.26 no.1
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• pp.51-67
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• 2008

The study analyzes divorce rates in Korea and makes suggestions for the future research of divorce rates. Based on the data from Korea Statistical Information System (KOSIS) of the National Statistics Organization, trends for divorce rates change and the relations between divorce rates and macro environmental factors are analyzed. Macro environmental factors include socioeconomic factors such as, Korean War, Vietnam War, oil shock, IMP economic crisis and gross national income (GNI), whereas demographical factors include population structure, rates of female labor participation, and geographical location. The principle characteristics of divorce rates are as follows: 1) the Crude divorce rates (CDR) and the number of divorced had been increased from 1970 to 2004, then the trend changed to a decrease; 2) the slope of the change were the highest during 1998 to 2004 after the IMP economic crisis. The relations between socioeconomic factors are as follows: 1) during the war there was a small increase of CDR for a short period of time; 2) the economic crisis of the nation tend to increase the CDR, while the IMP economic crisis had a strong impact on an increase of CDR because of the interaction effect among the population structure, women's sex role changes as well as the level of standard of living. The increase in CDR from 1990 to 2000 can be explained partly by the population of baby Boomers passing through their marriage and divorce process. The number of population residing in the rural area and the middle class households, and the mobility of population also had an impact on the divorce rates changes. The recommendations for the future research were as follows: 1) the need to develop new divorce statistics that are based on a marriage cohort or a birth cohort because family behavior is a mixture of personal, social and political responses, and because CDR is not an accurate measure of divorce rate since it was influenced by population structure; 2) the need to include micro personal factors as well as macro social factors in a model to find an interaction effect between those variables.