• Survey Research
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• v.11 no.2
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• pp.1-28
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• 2010

This paper reports the results of the 2009 Internet volunteer panel version of the social survey conducted by Statistics Korea (Korea National Statistical Office). Authors identify socio-psychological characteristics of Internet survey volunteers and present quantitative evaluation of the propensity adjustment weighting method intended to remove Internet sample bias. The nine criteria used for propensity adjustment were regions, urban/rural, gender, age, education, consumer satisfaction, views on income distribution, newspaper access and Internet news access. Propensity adjustment weighting based on the logit model and rim weights were applied to the online survey of 2,903 respondents using the face-to-face area sample data of 37,049 respondents as reference. A total of 106 items were used for evaluating the propensity adjustment weighting methods. The results showed that in 80% of survey items the propensity adjustment weighting yielded better estimates compared to simple demographic weighting. This suggests that Internet surveys by volunteer panels are useful for conducting the general social study in Korea. The reference survey data for this study contains several items on social-psychological behaviors and attitudes, is large in size and obtained by probability sampling. Thus it may be utilized in propensity adjustment of other Internet surveys.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.139-169
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• 2022

This study derived determinants of 'Decent Work' in the logistics industry and aims to use the analysis results as basic data for policymaking related to labor in the logistics industry and to prepare policies suitable for the characteristics of the logistics industry. As the dependent variable of the model, the Decent Job derived from the first study was used, and the target model was derived from panel data of whole industries to understand the unique characteristics of logistics industry jobs and applied to the logistics industry model. This study found that in the logistics industry, developing the expertise of the logistics industry through "vocational training" compared to whole industries is an important factor rather than raising the "academic level" through the regular curriculum. This seems to reflect the characteristics of the logistics industry as specialized vocational training is required in the case of "railway transportation", "inland water and port transportation", and "air cargo transportation", which have a high proportion of decent job workers among the detailed logistics industries analyzed in this study. Therefore, developing job expertise through additional manpower training programs such as vocational training as well as academic fields learned through regular curriculum is a very important factor in engaging in "Decent Work" not only in the logistics industry but also in other industries.

• International Area Studies Review
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• v.12 no.3
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• pp.321-339
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• 2008

The purpose of this study to the analyze characteristics and purchasing activities of consumers by using the Multinomial Logit model, which is a well-known discrete selection model to explain and forecast consumers' selection activities(patterns). The study aims to determine the state of competition between National Brand and Private Band and how some demographic characters and marketing variables influence consumers' brand selections within the facial tissue market. Our analysis process includes reorganization of panel data(individuals' purchasing record at each point) to fit the purpose of our study as well as analysis of probability and influencing factors of consumers' brand selection at each point of purchases. The result showed that consumers at higher age and with higher income hold better probability to purchase National Brand. Likewise, locations also had considerable effect on selecting brand, and Private Brand was preferred in department store and discount stores. On the other hand, consumers loyal to National Brand reported higher probability to purchase if the product prices were higher while Private Brand buyers were more promoted the purchase under price discount.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.559-568
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• 2008

This paper analyzes Korean residential tenure choice for house which is the most important in Korean households' assets. Data used in the analysis is the data of Korean Labor and Income Panel Study for the period from 1998 to 2006 and with 2341 households. In this paper, a household chooses a housing tenure mode, either by renting or by owing house. We use a mixed-logit panel model as an estimation model to take into consideration household's heteroscedasticity of preference in tenure choice. It turns out that the heteroscedasticity is significant in households' tenure choice behavior, implying that Korean housing policy emphasizing supply side should consider the demand side.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.337-379
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• 2005

This choice experiments study values the non-market benefits of water quality improvements in Paldang Reservoir and Han River, located in Korea. A fractional factorial orthogonal design was used to produce four different choice sets per respondent, before employing choice examples to screen out irrational responses. The panel mixed logit model (with normal distributions for the attributes) fit the data best, indicating that allowing for both heterogeneous preferences across households and correlation between repeated choices may represent actual choice behaviors best of all the estimated models. The significant standard deviations of the random attributes suggest that the taste for each attribute may vary considerably in the population. The annual benefits to the Seoul Metropolitan area for a small (large) enhancement of the clarity of water, a gradual removal of unpleasant waters, and a gradual improvement in biodiversity, were estimated to be some 1.5 trillion (1.7 trillion) Won, 2 trillion Won, and 1.7 trillion Won, respectively, with 1.8~2.6 trillion Won for at least two of them occurring together. The study also discusses potential biases germane to choice experiments studies of this type.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.601-610
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• 2022

Although the number of people insured by private health insurance in Korea is steadily increasing, the household burden or the status of multiple purchasing for private health insurance has not been addressed. In this study, data of the 2011-2018 Korea Health Panel Survey was used to examine the purchasing trend of Korean households' private health insurance. Households with more than three private health insurance per household member were defined as the 'poly-purchases'. The logit model was applied to analyze factors associated with poly-purchase of private health insurance using 2018 cross-sectional data. From 2011 to 2018, the number of insurances purchased by Korean households increased (4.0 to 4.6), the number of insurances per capita increased (1.3 to 1.6), and the proportion of the poly-purchasing households increased (5.2% to 10.8%). As a result of logit analysis, the probability of poly-purchasing was increased when the household head was a woman, with a high level of education and income, and when the job of the household head was a service or sales. Poly-purchasing was less likely when the family was subsidized with Medical Aids and suffered with more chronic diseases. The results of this study serve basic evidence for establishing policies regarding private health insurance, such as establishing the relationship between public and private insurance.

• Information Systems Review
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• v.25 no.3
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• pp.59-81
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• 2023

Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.169-193
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• 2017

This study analyzed the determinants that affect employment retention rate in order to diagnose dynamic employment stability in Korea. For this analysis, we constructed multi-level hierarchical data linking Workplace panel survey data and employment insurance job history data. And the determinants were analyzed using a multi-level analysis model suitable for these data. As result of the analysis, it is estimated that the employment stability is very low in Korea due to the widespread existence of the marginal sectors with low wage level and high level of nonstandard employment. In addition, the results of this analysis show that employment structure of Korea occupies considerable area of short-term employment where employment and unemployment are repeated, and overall employment stability is weak. This fact is likely to be a limiting factor for continued growth, as there is limited opportunity for skill development and skills formation at the corporate and individual levels. According to the results of this analysis, it is required to improve the quality of the employment structure for continuous growth and skill formation.

• Korean Journal of Social Welfare
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• v.64 no.3
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• pp.51-77
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• 2012

This study examines the scale of occurrence of Catastrophic Health Expenditure, and identifies the factors influencing Catastrophic Health Expenditure among disabled elderly households. Catastrophic Health Expenditure is defined by when the households' health care spending out of ability to pay exceeds 10%, 20%, 30%, and 40%. This study used the 2008, 2009, and 2010 surveys of the Panel Survey of Employment for the Disabled(PSED) to explore how gender, age, spouse, the level of education, the degree of disability, the type of disability, disability duration, subjective health status, chronic disease, the number of household members, the proportion of disabled households, the proportion of working households, the proportion of aged households, the type of poverty, household income, net asset, determine Catastrophic Health Expenditure among disabled elderly households. The study examines the frequency of Catastrophic Health Expenditure with 726 households, and conducted the panel logit model. The empirical results show that Catastrophic Health Expenditures are significantly related to age, spouse, the type of disability, subjective health status, chronic disease, the number of households, the proportion of disabled households, the proportion of aged households, the type of poverty. This study showed that the health care safety net in South Korea was insufficient for disabled elderly households and that a policy should be established in ordered to protect disabled elderly households from occurrence of Catastrophic Health Expenditure.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.480-491
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• 2016

This study aims to determine the factors associated with preparation for turnover in youth employees, using a data from the Youth Panel 2007-2013. Study population were composed by 17,037 employees and a generalized estimating equations (GEE) using panel logit model was performed. It was identified that socioeconomic(age, sex, level of education, monthly income and type of employment) and work-related factors(perception of difficulties in performing tasks compared to level of education, perception on the Job-Major match, stabilization of employment, autonomy and empowerment of jobs, peer relationship in workplace) were statistically significant variables. Based on the analysis, dissatisfaction on working environment or condition might lead to employees prepare to turnover and it is a series of activities that to improve welfare and find a suitable job for oneself.