• Journal of Families and Better Life
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• v.17 no.4
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• pp.193-206
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• 1999

This study analyzed the household portfolio according to wealth levels using a survey data of 1997 Korea Household Panel Study. The major findings of this study are as follows: (1) A household in high wealth level has invested relatively large proportion of his asset into real estate (2) A household in middle wealth level has invested relatively large proportion of his asset into risky financial asset(3) A household in low wealth level has invested relatively large proportion of his asset into secure financial asset. These findings accorded with risky pyramid model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4784-4790
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• 2013

As with fast growing globalization, Korean firms have increased their offshoring activities and more empirical research are needed to analyze the effect of offshoring on Korean firms' productivity. This study used "Survey of Business Activities", a firm-level panel data set surveyed by the Statistics Korea between 2006 and 2008, and estimated pooled OLS and Panel fixed effect model to examine the impact of offshoring on a firm's labor productivity. Unlike the previous studies on offshoring, we included in the analyses the firms in the service industry in addition to those in the manufacturing industry, and presented the comparative results. The results from pooled OLS model show that 1% increase in the share of offshoring output will lead to 0.03% increase in labor productivity. However, the results from Panel model show that the effects of offshoring on productivity is positive but statistically insignificant. Analyzing the manufacturing and the service sector separately, the main results based on Panel model can be summarized as follows: Offshoring has significant positive effects on firms' productivity in the manufacturing industry. Contrastingly, the impact of offshoring on firms' productivity in the service industry is estimated to be negative but statistically insignificant. Other than the share of offshoring output, most factors except headquarter location have positive effects on firms' productivity in both manufacturing and service industry.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1315-1329
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• 2009

The panel survey is need to have a more concern about a response due to a secession and non-response of a sample. And generally a population is not fixed and continuously changed. Thus, the rotation sample design can be used by the method replacing the panel research. This paper is the study of comparison to equal weight method, Duncan weight, Design weight method, weight share method in rotation sample design. More specifically, this paper compared variance estimators about the existing each method for the efficiency comparison, and to compare the precision using the relative efficiency gain by the Coefficient Variance(CV) after getting the design weight from the actual data.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.85-96
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• 2019

The relative extrinsic value orientation (REVO) means the relative importance to extrinsic values (e.g. wealth, fame and social approval) compared with intrinsic values (e.g. affiliation, self-acceptance and personal growth). This study aimed to investigate the causal relation between REVO and life-satisfaction using the auto-regressive cross-lagged modeling. For this purpose, 3rd, 5th, and 7th year data from the Korea Children and Youth Panel Survey (KCYPS) middle school 1st grade panel was analyzed (N = 2,259; 1,140 males and 1,119 females). The results are as follows; Firstly, positive auto-regressive effects of REVO and life-satisfaction were significant. Secondly, REVO was found to have negative and cross-lagged effect on life-satisfaction. However, cross-lagged effect from life-satisfaction to REVO was not significant. Finally, no gender difference was found in this relationship. These results suggest that low life satisfaction does not cause the relative extrinsic value orientation, but high relative extrinsic value orientation may cause low life satisfaction.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.217-231
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• 2023

Purpose - The purpose of this study is to determine the impact of workaholism according to personality on the job satisfaction of organizational members. Design/methodology/approach - Workaholism was defined as excessive working and compulsive work, suggesting a negative impact on job satisfaction, while predicting that conscientiousness would alleviate this effect and presented as a hypothesis. The unbalanced panel data constructed based on 19,283 samples of 6,863 people from the Korea Labor Institute's Korea Labor Panel Survey was used. Findings - Both excessive working and compulsive working were found to have a direct negative effect on job satisfaction. Additionally, as a result of verifying the interaction effect of conscientiousness, it was found that the negative impact of excessive work on job satisfaction was moderated and alleviated by conscientiousness. In other words, for employees with high conscientiousness, the negative impact of excessive work on job satisfaction is alleviated and the negative impact of overworking is offset, whereas for employees with low conscientiousness, the negative impact of overworking on job satisfaction is strengthened. Research implications or Originality - This study shows that the impact of workaholism on job satisfaction varies depending on personality. While existing research has treated personality only as a determinant of workaholism, this study contributes to previous research in that it expands the role of personality. In addition, in practical terms, it is suggested that differential treatment based on individual values or personality is necessary.

• Journal of Distribution Science
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• v.12 no.4
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.365-379
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• 2019

The purpose of this study is to investigate what factors affect cyber-delinquency after examining the previous research focusing on the general strain theory and the delinquency opportunity theory in the existing studies. And as adolescents move from middle school to high school, this study is intended to analyze what factors affect cyber-delinquency from a longitudinal perspective using KCYPS(Korea Child and Youth Panel Survey) elementary 4th grade fourth and seventh data. The adolescence cyber-delinquency probability of occurrence were analyzed through the panel logit fixed-effect model using STATA. And then the cyber-delinquency frequency of adolescents were analyzed through the panel tobit random-effect model. As a result of analyzing the factors affecting cyber-delinquency frequency, Adult media commitment, computer use time, and cell phone dependency increased cyber-delinquency frequency. On the other hand, among the parenting attitudes, the attitude of supervising attentively and adolescents' age-increasing decreased cyber-delinquency frequency.

• Journal of Distribution Science
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• v.17 no.3
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• pp.85-95
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• 2019

Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.193-200
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• 2016

This study was conducted in order to assess the effect of variables influencing Korean baby-boomers' welfare consciousness. For this purpose, data from the $8^{th}$ supplementary survey of the Korea Welfare Panel in 2013 were analyzed. The subjects of analysis were 2,035 people who were born between 1955 and 1965 whose welfare panel data did not have missing values for the variables of the research model. According to the results of analysis, first, when the descriptive statistics of the major variables were analyzed, those showing a relatively high mean score among the sub-factors of the baby-boomers' welfare consciousness were 'expansion of expenditure for public assistance' (mean 3.65, SD .557), 'expansion of expenditure for social insurance' (mean 3.53, SD .646), and 'expansion of expenditure for social services' (mean 3.26, SD .424). The mean score of the baby-boomers' overall welfare consciousness was relatively high as 3.45 (SD .428), advocating the expansion of welfare expenditure. Second, the independent variables influencing the baby-boomers' welfare consciousness was found to have explanatory power of 12.9%. In the results of regression analysis, variables found to have a significant effect were gender (B=.100, t=2.573, p<.01), personal responsibility for poverty (B=-.151, t=-3.635, p<.01), social responsibility for poverty (B=.149, t=3.437, p<.001), and recipient's laziness (B=.251, t=6.578, p<.001). Based on these results were discussed major relevant policies.

• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.147-158
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• 2016

Objectives : The aim of this study was to investigate predictors of cognitive function decline among community dwelling elderly. Methods : Data were analyzed from the Survey of Living Condition of Elderly panel study. Cognitive function was measured with the MMSE-KC at baseline and year 3. The study subjects were 5,464 community dwelling people aged 65 years or older who had no disability at baseline. Logistic regression analysis was used to predict cognitive function decline. Results : From 2008-2011, 4,417(80.8%) elderly people had no cognitive decline, and 1,074(19.2%) showed cognitive function decline measured by the MMSE-KC. After adjusting for demographics and baseline MMSE-KC score, the best predictors for cognitive function decline at 36 months were diabetes mellitus, smoking, low intensity physical activity, relationship with relatives and friends. Conclusions : Health promotion programs that are focused on the elderly are essential in preventing cognitive function decline. Promoting regular physical activity, and social relationships should be included in health promotion for elderly. When treating patients with diabetes, preventing cognitive impairment should be considered through education and counseling.