• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.419-429
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• 2021

This study examined the differentiation and influence of socio-demographic factors that affect the daily living ability of the elderly living in urban and rural areas. The research data is 「Korean Social Life, Health and Aging Project」. The analysis target was 400 urban elderly people (K-gu, Seoul: surveyed Apr. ~ Jun. 2017) and 524 rural elderly people (B-myeon, Gyeonggi-do: surveyed Dec. 2015 ~ Feb. 2016). The research methods included descriptive statistical analysis, chi-square test through cross-analysis, correlation analysis, and logit analysis. The summary of the research results is as follows. First, the ratio of 'complete independence' in ADL/IADL was 'ADL(city)> ADL(rural)> IADL(city)> IADL(rural)". Second, the probability that the elderly living in rural areas will experience a lower ADL level and lower IADL level was 7.1 times and 3.25 times higher than that of the urban elderly. Lastly, the statistically significant variable affecting the ADL level of urban elderly was depression, and the IADL level was gender, age, economic activity, spouse presence, and depression. Age and economic activity were statistically significant variables for the ADL level of the rural elderly, and the IADL level was gender, age, and economic activity.

• Journal of Korean Society of Transportation
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• v.26 no.3
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• pp.211-221
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• 2008

This dissertation studied the psychological cost, which converted the mental pain suffered by the victim of a traffic accident and his/her family, friends and people around him/her into social costs. Three methodologies - Choice Experiments, Direct Question and Dichotomous Choice Question - were used to design questionnaires, and models were built for each questionnaire design method. When building models, a logit model was used, which is used most frequently in probabilistic choice model. And the tobitmodel was used to make direct questionnaires. When verifying these models, although there were some differences in each model, suitability of most models and credibility of each coefficient were meaningful around the credibility level of 95%. According to the analysis, domestic psychological cost produced through the assessment model of psychological cost was 15.63 million won per person or 5.1 trillion in total, assuming 37.1% of total traffic accident cost.

• Journal of Korean Society of Rural Planning
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• v.14 no.2
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• pp.33-42
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• 2008

Recently, rural leisure by urban dwellers has been recognized as a catalyst for regional development or restoration. The federal government implemented several regional planning policies attempting to address this phenomenon in the late nineties. However, most of these policies focused on supply-centered planning, which caused a diverse set of problems relating to the sustainability and economic validity of the planning. Instead, this study focuses on the re-visitation one of the demand variables, with the intention of analyzing the character of rural leisure demand and its re-visitation choice attributes. For these reasons, this study investigates the character of current rural leisure demand, and develops functional equations about urban people who visit rural areas, using logit model. The results of this study can be summarized as follow: Urban people are visiting rural areas from nearby cities or metropolitan areas that are within 3 hours driving distance, and over 80% of rural visitors are one-day visitors. Therefore, most of their visitation activities should be understood as rural leisure, including rural tourism. In addition, the likelihood of the rural tourist to make a return visit is influenced by their transportation means, product purchasing, staying period and travel time. The results of such rural leisure demand can provide information for regional planning strategies, such as selection of target market, type of market segments, improvement of recognition level, activity program price, facility and space planning, produce sale and connection with tour site.

• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.237-243
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• 2001

Objectives : To examine the screening rate of cervical cancer in women and to find out the predictive factors for participation in cervical cancer screening programs within their life-time and within the last two years. Methods : The data was based on self-reported questionnaires from 1,613 women whose ages ranged from 26 to 60 years; this survey was peformed between December 1999 and January 2000. This study analyzed the predictive factors for participation in cervical cancer screening programs within their life-time and within the last two years. A logistic regression analysis was performed in order to derive the significant variables from the predisposing factors(demographic factor, health promotion behavior, reproductive factor), intervention factors(information channel, relation with medical stan, and proximal factors(attitude, social influence, self-efficacy). All analyses were peformed by the PC-SAS 6.12. Results : Our analyses showed that the screening rate for the women who received a cervical cancer screening(Pap smear) more than once within their life-time was 56.1% while those who had received one within the last two years was 34.5%. The significant factors for participation in cervical cancer screening program within their life-time were their income, married age, health promotion score, relation with medical staffs, social influence, and self-efficacy. On the other hand, age, number of pregnancies, menarche age, relation with medical staffs, social influences, and self-efficacy were significant factors for those being screened within the last two years. The predictive power of the logit model within their life-time was 68.8% and that within the last two years was 66.6%. Conclusion : The predictive factors for participation in cervical cancer screening program within their life-time are different from those for within the last two years. and that women's relations with medical staffs and social influences were the critical factors impacting on cervical cancer screening rates.

• The Korean Journal of Applied Statistics
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• v.4 no.2
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• pp.117-127
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• 1991

Coefficient of determination $R^2$ is most frequently used descriptive measure in practical use of linear regression analysis. But there have been controversies on defining this measure in the cases of linear regression without the intercept, weighted linear regression and robust linear regression. Several authors such as Kvalseth(1985) and Willet and Singer(1988) proposed many variations of $R^2$ to meet the situations. However, theire measures are not satisfactory due to the lack of a universal principle. In this study, we propose a unfied approach to defining the coefficient of determination $R^2$ using the concept of likelihood distance. This new measure is in good accordance with typical $R^2$ in linear regression and, moreover, can be applied to nonlinear regression models and generalized linear models such as logit and log-linear models.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.4
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• pp.977-986
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• 2015

The purpose of this study is to find the housing affordability of elderly household according to household types and housing tenure and to contribute to desirable elderly housing policies. The data from the 2010 Korea Housing Survey was used for the analysis of this study and the final sample included 6,780 elderly households. The results of this study are summarized as follows; It was found that all kinds of elderly household for housing affordability were affected by income, residence period, housing location and size of house. And housing location was a highly influential factor. Besides, female elderly house-owners and male elderly renters living alone were likely to have higher housing cost burden. And if elderly renters households suffer more financial burden, they had have higher housing cost burden. It is implies that desirable elderly housing polices by government need to consider elderly househod's diverse characteristics in aged society.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.804-813
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• 2020

This paper finds that Korean zero-leverage firms are not homogeneous. By conducting both univariate and multivariate logit regression analysis, this paper finds that Korean zero-leverage firms have zero leverage as either a consequence of financial constraints or because of a strategic decision to mitigate under-investment incentives and preserve financial flexibility. There are two distinct groups of unlevered firms with different levels of constraints as measured by their dividend policy, namely dividend payers and non-payers. Importantly, this paper finds new evidence that these two groups have different motives for selecting a zero leverage policy. Firms in the first group (non-payers) have zero leverage, mainly due to financial constraints. They rely heavily on their internal funds and consequently invest in fewer growth opportunities than their levered counterparts. Firms in the second group (payers) deliberately avoid debts and preserve financial flexibility to mitigate investment distortions, as predicted by the under-investment and financial flexibility hypotheses.

• Journal of Labour Economics
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• v.26 no.1
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• pp.23-52
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• 2003

This study focus on unemployment and nonparticipation of youth. By dividing youth nonparticipants into 'house work and child care', 'studying and training', 'the others' categories, we estimate the potential wages with selectivity bias model and analyse the factors of choosing unemployment or nonparticipation with multinomial logit model. The differences between the potential market wage and the desired wage of the groups of 'studying and training', 'the others' in the nonparticipants are greater than those of the unemployment group. In the case of the man and lower age, and low schooling the differences of potential and desire wage are larger than woman and higher age, and high schooling. In the choice of unemployment and nonparticipation, man and higher age, and householder, and holder of qualification are not likely to opt nonparticipation. The experience of job lower the rate of probability to choose employment, but raise the rate of probability to choose unemployment and nonparticipation. These results mean that the quality of youth employment is very inferior.

• Journal of Labour Economics
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• v.40 no.2
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• pp.31-68
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• 2017

This study examined the moonlighting behavior in Korea, to which relatively less attention has been paid. Based on the wage earners of 25 to 65 year old married, the results show that about 1.4% of the sample have dual jobs, working very long hours, on average 60 hours for a week combining both the primary job and the secondary job. The results of the fixed effects logit model on the moonlighting participation indicate that the wage rate and the hours of work in the primary job have a negative effect on moonlighting participation while the insecurity of the primary job appears to lead to a higher probability of taking a secondary job. The results of the moonlighting hours analysis suggest that hours worked in the primary job have a negative effect on moonlight hours while the wage of the primary job does not appear to have any significant effect on moonlighting hours. Interestingly enough, the wage of the secondary job appears to have a negative impact on moonlighting hours, which might be very plausible considering the long working hours moonlighters are engaged in.

• Journal of Korean Society of Transportation
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• v.17 no.5
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• pp.19-32
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• 1999

In this study, the trip characteristics of workers in the city are systematically analyzed. The trip behaviors and socioeconomic characteristics of workers are analyzed using Person Trip Survey Data of 1988 and 1992 in Taegu Metropolitan area. With the results of behavioral analyses, the daily travel pattern of workers is shown as one tour contained two trips and it is relatively simple and stable. Also the rate using the same mode in a day is Presented as high ratio. So, it can be explained that the choice of worker\`s first trip is fixed his/her travel mode for his/her daily travel mode. Based on these analyses, the mode choice model for workers is developed by applying the Multi-nominal Logit Model with the choice set of bus, taxi, and car. The explanatory variables of this model include sex, age, auto, travel time, and cost. Empirical tests of the model show encouraging results. After that, the temporal transferability of the model is examined by the Pairwise t-test and five indexes far the model of 1988 and 1992. The results of examination are satisfied with each significance level of the explanatory variables and five indexes. Therefore. it can be concluded that the temporal transferability of this model developed in this study is resonable.