• Journal of the Korean association of regional geographers
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• v.17 no.1
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• pp.75-95
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• 2011

A birth cohort approach to the Household life-cycle model could be an alternative to cross-sectional data. In this study, each residential mobilities of birth cohorts' is traced by the cohort data from repeated cross-section in the case of Jinju city. Because of the differences in fertilities by era, the volume of each cohort as a consumer in housing has varied and the condition of housing stock also has changed as the time goes by. These changes in housing make not only age effect stressed in Rossi's model, but also cohort and period effect. Due to theses effects of time, every residential mobility trajectories of generations' is different especially in earlier life stages. As households get older, it is found that the age effect reduces and the probability of residential mobility is lower. As this result, the residential succession and filtering between the earlier and latter generations is weakened and the residential segregation could be happened by birth cohort.

• 한국사회정책
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• v.24 no.2
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• pp.245-275
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• 2017

It is attempted here to explain change in welfare attitudes for two decades in 10 countries with the cohort effect, especially differences in societal values between generations. It was found that for the last 20 years pro-welfare attitudes of the public has been strengthened, on which the generation has impact, more by the cohort effect than by the age effect, and that the Millennials/Y-generation are the strongest supporters for the state welfare. Value-differences between cohorts, as a background factor for the cohort effect on welfare attitudes, are clear but show a kind of linear trend from the older to the younger cohorts. As for the cohort effect on welfare attitudes, it is expected, at least for the short-term future, in the direction toward supporting the expansion of the state welfare. Korean welfare attitudes show an exceptional pattern - preferring income inequality as incentives, and at the same time, the expansion of governmental welfare responsibility, which echoes recent arguments of contradictoriness and non-class-orientedness of Korean welfare attitudes. Especially, Korean Millennials/Y-G shows this contradictory welfare attitudes the most strongly, which is unique between 10 countries in this study, implying their fierce competition is being internalized. It is expected that the contradictoriness of Korean welfare attitudes may limit its possibility to back up welfare expansion in Korea.

• Analyses & Alternatives
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• v.8 no.2
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• pp.31-64
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• 2024

The recent trend of declining consciousness regarding the necessity of unification among South Korean citizens is evident. Does a cohort effect exist in this downward trend in the perception of the necessity of unification? The purpose of this study is to analyze whether birth cohorts statistically significantly influence the consciousness of the necessity of unification. To this end, the hierarchical age-period-cohort (HAPC) model was employed as the analytical model, and data from the Unification Consciousness Survey conducted by Seoul National University's Institute for Peace and Unification Studies from 2007 to 2021 was used. The analysis results showed evidence that the progress of economic inequality at the birth cohort level affected the decline in the perception of the necessity of unification. The 1980s birth cohort, which faced socioeconomic difficulties during their social advancement due to income and wealth polarization, is observed to have a distinctly negative perception of unification requiring massive financial resources, compared to the 1960s and 1970s birth cohorts.

• The Korean Journal of Applied Statistics
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• v.28 no.4
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• pp.703-719
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• 2015

We propose an extension of the Lee and Jho (2015) mean reverting the two factor mortality model by incorporating a period-specific cohort effect. We found that the consideration of cohort effect improves the mortality fit of Korea male data above age 65. Parameters are estimated by the weighted least squares method and Metropolis algorithm. We also emphasize that the cohort effect is necessary to choose the base survival index to calculate longevity bond issue price. A key contribution of the article is the proposal and development of a method to calculate the longevity bond price to hedge the longevity risk exposed to Korea National Pension Services.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.2
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• pp.166-181
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• 2020

This paper attempts to compare and analyze the intensity, trend, and regional gap of income inequality, capitalizing upon the Age-Period-Cohort model which considers age, time and cohort effects, with the 1998-2018 Korea Labor Panel (KLIPS) survey data for respondents living in the Capital and Non-Capital Regions. The main analysis results are as follows. First, in the case of both cohort and age effects, those in their 50~60s, including the so-called baby boomers and '386 generation' living in the Capital Region, have relatively lower income inequality effect compared to that of other age groups and cohorts in the Non-Capital Region. Second, the micro-individual characteristics cannot be ignored to account for a regional gap in income inequality, but rather the effects of structural and institutional omitted variables and the social discrimination effects of individual characteristics variables are more significant in explaining it. Overall, intra-and inter-cohort income inequalities appear to overlap.

• Journal of the Korea Society for Simulation
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• v.25 no.1
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• pp.29-34
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• 2016

Many researchers have used cohort DB (database) to predict the occurrence of disease or to keep track of disease spread. Cohort DB is Big Data which has simply stored disease and health information as separated DB table sets. To measure the relations between health information, It is necessary to reconstruct cohort DB which follows research purpose. In this paper, XML descriptor, editor has been used to construct ontology-based Big Data cohort DB. Also, we have developed ontology based cohort DB search system to check results of relations between health information. XML editor has used 7 layered Ontology development 101 and OWL API to change cohort DB into ontology-based. Ontology-based cohort DB system can measure the relation of disease and health information and can be used effectively when semantic relations are found. We have developed ontology-based cohort DB search system which can measure the relations between disease and health information. And it is very effective when searched results are semantic relations.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.347-373
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• 2021

Over the past 50 years, explorative research on the nation's mortality decline patterns has showed a decrease in age-specific mortality rates in all age groups, but there were different improvement patterns in specific mortality rates depending on ages and periods. Greater distinct improvement was observed in mortality rates among women than men, and there was a noticeable improvement in mortality rates in certain groups especially in the more recent decades, revealing a structural change in the overall trends regarding death periods. In this paper, we compare various stochastic mortality models considering cohort effects for mortality projection using Korean female mortality data and further explore the uncertainty related to projection. It also created age-specific mortality rates and life expectancy for women until 2067 based on the results of the analysis, and compared them with future age-specific mortality rates and life expectancy provided by the national statistical office (KOISIS). The best optimal model could vary depending on data usage periods. however, considering the overall fit and predictability, the PLAT model would be regarded to have appropriate predictability in terms of the mortality rates of women in South Korea.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.161-179
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• 2003

• Korea journal of population studies
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• v.30 no.1
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• pp.97-124
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• 2007

국내 생화학 분야 학자들의 연구성과에 영향을 주는 요인은 무엇인가? 특히 젠더는 연구성과에 어떤 영향을 주는가? 이 연구는 다음과 같은 항목에 초점을 두었다. 첫째 연구성과의 특징에 따른 차이를 보기 위해, 연구성과를 학술지 유형에 따라 SCI논문과 비SCI논문으로 구분해서 비교분석했다. 둘째, 교육기간부터 경력기간별로 연구성과에 미치는 요인이 변화할 가능성을 분석하기 위해, 연구성과를 종속변수로 하는 모델을 대학원 기간과 졸업 이후 경력 기간별로 구성했다. 셋째, 연구성과에 대한 이론적 요인으로서 사회인구학적 요인, 조직적 요인, 그리고 이전 연구업적의 누적효과를 음이항모델을 사용해서 분석했다. 연구 결과는 다음과 같다. 첫째, SCI논문성과의 경우 젠더 효과는 대학원 기간 동안에는 관찰되지 않았지만, 경력 초기부터 다음 기간 연구성과에 영향을 주는 것으로 나타났다. SCI학술지 연구성과의 경우 조직적 요인 중에서 외국 학위가 중요한 것으로 파악되었다. 이전 연구성과 역시 누적적으로 그 후 연구성과에 영향을 주었다. 비SCI논문 수를 분석한 결과, 대학원 기간과 졸업 후 3년간 기간에는 젠더 차이가 관찰되지 않았고, 졸업 후 3-6년 기간에 젠더 효과가 발견되었다. 또한 대학원 기간의 비SCI논문의 누적효과가 지속적으로 나타났다.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.1019-1032
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• 2013

The accurate prediction of future mortality is an important issue due to recent rapid increases in life expectancy. An accurate estimation and prediction of mortality is important to future welfare policies. The optimal selection of a mortality model is important to estimate and predict mortality; however, the period of time series data used is also an important issue. It is essential to understand that the time series data for mortality is short in Korea and the data before 1982 is incomplete. This paper divides the time series of Korean mortality into two sets to compare the parameter estimates of the LC model and LC model with a cohort effect by the period of data used. A modeling and prediction of the mortality index and cohort effect index as well as the evaluation of future life expectancy is conducted. Finally, some suggestions are proposed for the future prediction of mortality.