• 응용통계연구
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• 제25권6호
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• pp.933-945
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• 2012

In this paper we used the KLIPS(Korean Labor and Income Panel tudy) data that surveyed from 2006(wave 9) to 2009(wave 12). Other previous studies are concerned with the panel attrition in the early wave, but this study classifies the response pattern and investigates some factors that influence panel attrition when the panel tends to stabilize. It was revealed that panel attrition was influenced by relocation and housing type through the logit model. Besides it was appeared that panel attrition was affected by the monthly living expenses and the overall household income through the decision tree.

• Journal of the Korean Data and Information Science Society
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• 제22권1호
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• pp.1-8
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• 2011

동일한 표본에 대하여 여러 시점에 걸쳐 반복적으로 조사되는 패널자료의 경우 표본의 탈락은 조사 결과의 신뢰성과 표본의 대표성 등에 문제를 야기할 수 있어 표본 탈락의 경향이나 요인에 대한 분석을 통해 표본의 탈락률을 낮추는 방안이 모색되어져야 할 것이다. 본 연구에서는 11년간(1998~2008) 한국노동패널 자료의 표본 탈락 시간에 대한 정보를 사용하여 생명표방법과 Cox 비례위험모형으로 표본 탈락에 영향을 주는 요인을 분석하였다.

• 한국항만경제학회지
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• 제35권1호
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• pp.57-76
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• 2019

본 연구는 우리나라 산업 발전에 크게 기여한 운송산업의 주체인 운송업 종사자의 고용생산성 결정요인에 대해 다룬다. 본 연구는 노동패널자료를 활용해 운송업의 고용생산성 결정요인을 선정하고 패널 로지스틱 회귀 모형(Panel Logistic Regression), Panel OLS 모형, Panel Robust regression 모형을 활용하여 요인 간 영향력을 분석하였다. 분석 결과는 다음과 같다. 첫째, 정규직 여부의 경우 '학력'이 높을수록, '노조가입' 할수록, '직업훈련 경험'이 있을수록 긍정적인 효과가 나타난 것으로 분석되었다. 둘째, 고용안정성은 '학력'이 높고 '노조가입' 할수록 긍정적인 영향이 미치는 것으로 조사되었으며, '회사규모'가 크고 '기혼'일 경우 고용안정성이 큰 것으로 분석되었다. 셋째, 소득생산성의 경우 '나이', '학력', '회사규모'의 값이 클수록 긍정적인 영향을 미치고 '직업훈련 이외의 교육', '건강상태'의 값이 클수록 부정적인 영향을 미치는 것으로 분석되었다. 넷째, 직무만족도의 경우는 '여성'일수록, '노조가입' 할수록, '소득'이 높을수록, '고용안정성'이 높을수록 높았고, '보통사람대비 건강상태'가 좋을수록, '전반적 생활만족도'와 '경제적 수준'이 높을수록 직무만족도는 낮은 것으로 분석되었다. 본 연구에서 도출한 운송산업 고용생산성 결정요인의 분석과 향상 방안 모색을 통해 운송업 고용 생산성 향상에 기여할 수 있을 것으로 생각된다.

• 대한방사선기술학회지:방사선기술과학
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• 제45권6호
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• pp.503-513
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• 2022

The purpose of the study is to investigate the characteristics of the subjects and analyze and confirm the association between related factors in order to study the factors affecting drinking level after COVID-19 using data from the Korea Labor and Income Panel(2018-2020). The result of the study indicated that male group, 10s and 20s, unemployed status, and groups whose personal income fell before COVID-19 have a high risk of increased drinking levels. n particular, in the group where the frequency of drinking before COVID-19 decreased, the risk of increasing the level of drinking after COVID-19 was found to be higher. Further research is needed on this group of subjects. Based on this, various studies on drinking factors are needed through long-term monitoring studies on drinking levels after COVID-19.

• 대한가정학회지
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• 제42권8호
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• pp.65-76
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• 2004

The purpose of this study is to offer essential information related to early childhood education and care policy. Using the Korea Labor and Income Panel Study(KLIPS) Vol.5., this study analyzed sociodemographic factors that decide the use and type of institute for early childhood education and care. The following results are obtained： First, it is not easy for young children under three years old to use education and care institutes because of their preference for home care. Second, the mother's job status affects the child's use of child care centers and private institutes for education except for the using of early child education centers. Third, the affecting main factors for the use of child care centers are quite similar to critical factors for use of the private institute for education. Thus, young children using the private institute for education could be interpreted as coming from a low-income class compared with the children using the early child education centers.

• 대한가정학회지
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• 제41권11호
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• pp.151-169
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• 2003

This study is to investigate the important factor for household private education expenditure. Especially, this study analyzed the influence of financial management characteristics. For this, the income level is classified by comparative poverty and analyzed the influence power The data for this study was "the Korean Labor Panel" conducted by Korea Labor Institute in 2000. The result showed the demographic factors by the income level and financial characteristics have big difference. Also, income level affects private education expenditure. For lower income level, demographic factors affect more than financial factors. This result explained the private education expenditure as luxurious goods. For middle income level, financial factors affect more than demographic factors. This explained the private education expenditure as choice goods. For upper income level, the private education expenditure was explained as investment goods.

• 한국사회복지학
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• 제48권
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• pp.113-149
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• 2002

The primary purpose of this study is to analyze the decreasing effect of public and private income transfers on poverty rate. Two year data of Korean Labor and Income Panel Study (KLIPS, 1998, 1999) are used for the analysis, and 1/2 of median income and 1/3 of mean income are adopted to measure poverty rate. Although private income transfer contributes more to reduce the rate than the public transfer, the main effect for decreasing poverty rate is forced by the wage. Statistically significant variables that affect to the exit of poverty based on the logistic regression analysis are number of family members(-), wage(+), property income(+), social insurance benefit(+), and the transfer income(+). Therefore, the future policy should be more related with the active labor market policy for developing better human resources among the poor family.

• 보건행정학회지
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• 제17권3호
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• pp.50-67
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• 2007

This study investigated income elasticity of household health expenditures and differences by income level from 1998 through 2003. Data from Korean Labor and Income Panel Study was used for empirical analyses. To estimate the income effects on health expenditure, the two-part model was employed: a logistic regression for any health expenditure-first part-and a Ordinary Least Square regression for health expenditure conditional on any spending-second part. To estimate income elasticity, both health expenditure and income were log transformed in the second part. In addition, the random effects(RE) model was used for a longitudinal panel which was continuously followed from 1998 through 2003 to estimate income effects on health expenditures controlling for within and between unobservable household characteristics. Furthermore, difference in income effects on health expenditure across income level was investigated. Although income slightly increased odds of any health expenditure, there was not no table differences across income level. Income significantly increased health expenditures during study period(overall income elasticity: about 0.2) and the highest 20% income group presented higher income elasticity than the lowest 20% income group.

• 노동경제논집
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• 제35권2호
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• pp.25-41
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• 2012

본 연구는 한국노동패널 최근 자료를 사용하여 우리나라의 세대 간 임금 소득이동성을 추정하였다. 선행연구의 짧은 패널 기간과 적은 표본 수의 문제 등을 보완하였다. 세대 간 장기임금소득탄력성은 0.3 근방으로 추정되어 문헌에서 보고된 다른 나라들의 추정치들에 비해 낮아 소득이동성이 상대적으로 큰 것으로 분석되었다. 2006년 이후 자료로 추정한 세대 간 소득이동성들의 추세가 2005년을 기준으로 한 선행연구에 비해 낮아지고 있는 것으로 나타나 최근의 글로벌 경제위기로 소득이동성이 저하되는 추세가 있을 수 있음을 시사하고 있다.

• 보건행정학회지
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• 제14권4호
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• pp.1-20
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• 2004

This study is to examine relationships of several socioeconomic position indicators with mortality risk in a nationwide longitudinal study of South Korea. The Korea Labor & Income Panel Study, conducted on a probability sample of urban South Korean households by Korea Labor Institute, contains date of death information for the decedents which were used to estimate relative risks of mortality and their $95\%$ confidence intervals (CI) with Cox regression analysis. A total of 125 men and women among 8,415 subjects died between 1998 and 2002. Socioeconomic differentials in mortality were observed after adjustment for sex and age. Those with less than 12-year education had 1.90 times $(95\%\;CI=1.25-2.91)$ greater mortality risk than those with 12-year education or more. Greater mortality risks were also found among those with low occupational class and manual occupation. The magnitude of differentials in mortality risks between occupational class were similar in two different approaches to measuring women's occupational class: (1) approach 1 where women, married or not, retain their own occupational class, and (2) approach 2 where married women are assigned their husbands' occupational class. Relative risks of dying among those with low household Income were 1.62 $(95\%\; CI=1.08-2.42)$ compared with the counterparts. Those who reported economic hardship at the time of survey in 1998 had greater risk of mortality $(RR=1.83,\;95\%\;CI=1.21-2.78)$ than those who did not. In conclusion, increased social discourse and policy discussions about these health inequalities are needed in Korean society. Future studies should explore the causes and mechanisms of socioeconomic mortality inequalities.