• Journal of Labour Economics
• /
• v.26 no.3
• /
• pp.77-114
• /
• 2003

Analyses of the special data sets constructed from the National Longitudinal Survey of Youth and the Panel Study of Income Dynamics reveal that, compared with an annual wage measure, survey week wages are significantly counter-cyclically biased due to selecting workers with strong labor market attachment. We also find that survey week wages are more counter-cyclically biased in high-wage industries than in low-wage industries, that is, inter-industry gaps of survey week wages are counter-cyclically biased. Unlike existing longitudinal studies, the current study concludes that real wages are much more procyclical in high-wage industries than in low-wage industries, which is attributed to our adoption of annual wages that is less subject to the selectivity bias. Our finding is consistent with the empirical regularity that real wages are much more procyclical for men than for women, as men are overrepresented in industries with greater real wage procyclicalities. Overall, current results do not support the predictions of segmented labor market theories for the cyclicality of real wages.

• Survey Research
• /
• v.6 no.2
• /
• pp.51-74
• /
• 2005

The internet survey methods have been more and more widely used as the coverage of the fixed-line telephone is being reduced due to the diffusion of mobile phone. So, there is a need to know the accuracy of this new survey method. This study aims to estimate the accuracy of the internet survey method and identify the factors affecting the accuracy of this method, For this purpose, we analyzed the election poll data during the 17th general election period. These data include fixed-line telephone survey data, internet survey data, mobile phone survey data and the election voting data. The analysis shows that the prediction errors of the internet survey were a little more than those of the telephone or mobile phone survey. But the differences are not significant. It follows from this result that we can use the internet survey method in social survey context. This study also found that the respondent's willingness to participate in the survey, the probability of being at home during survey and the respondent's educational level were affecting the accuracy of the internet survey. Further studies to develop weighting method with these factors are needed.

• Journal of the Korean Data and Information Science Society
• /
• v.28 no.1
• /
• pp.195-206
• /
• 2017

The purpose of this study was to identify factors affecting quality of health care. Methods: The data were derived from the 2011-2013 Korea health panel survey (beta version 1.0). The data were analyzed using SPSS 21.0 with descriptive statistics, ${\chi}^2$-test, and multiple logistic regression analysis. In general characteristics, common factors influencing the quality of health care were age, marital status, education level, and subjective health status. In variables related to health care utilization, unmet healthcare needs, and limitation of dental care utilization were the significant factors affecting quality of health care. The results of this study show that various factors influence quality of health care. These findings can be used to develop strategies to improve health care.

• Health Policy and Management
• /
• v.28 no.1
• /
• pp.87-90
• /
• 2018

Suicide has been a public health issue in many countries, and Korea has ranked highest suicide rate among Organization for Economic Cooperation and Development (OECD) countries over a decade. To address these issues, we updated the recent trends in suicidal ideation and suicide attempts among Korean adults followed by previous data observation. We used data from five sources: Korean National Health and Nutrition Examination (KNHANES, '07-12, '13, '15-16), Korean Community Health Survey (KCHS, '08-09, '13), Korean Wealth Panel Study (KOWEPS, '12-16), Korea Health Panel Survey (KHP, '10-13), and cause of death data from Statistics Korea ('07-16). We used weighted frequencies and trend tests. The rate of suicidal ideation as recent year was 5.10% (KNHANES, '15), 8.95% (KCHS, '13), 2.08% (KOWEPS, '16), and 5.39% (KHP, '13). That of suicide attempts as recent year was 0.59% (KNHANES, '16), 0.41% (KCHS, '13), and 0.08% (KOWEPS, '16). Annual percentage change of suicidal ideation was -2.80% (KNHANES, '07-12), 5.78% (KNHANES, '13-15), 0.62% (KCHS, '08-13), -8.50% (KOWEPS, '12-16), and -10.94% (KHP, '10-13). Annual percentage change of suicide attempts was -3.84% (KNHANES, '07-12), 2.26% (KNHANES, '13-16), -2.53% (KCHS, '08-13), and -20.22% (KOWEPS, '12-16). Annual percentage change of death by intentional self-harm was -0.49% (Statistics Korea, '07-16). Individuals who had lower income level were more likely to experience suicidal ideation and suicide attempts. According to these results, the rate of suicidal ideation and suicide attempts showed the decreasing tendency. However, the suicide rate of Korea has remained higher than that of OECD countries. Thus, continuous data observation and effective policies on suicide are needed.

• The Korean Journal of Applied Statistics
• /
• v.22 no.4
• /
• pp.805-817
• /
• 2009

Interest about the effect of military service is increasing because of the renewal of military service incentive system in Korea. In the background, men has been experienced which suffer monetary and non-monetary damages through the compulsory military service in Korea. However there are few studies that analyze the labor market effect of military service. This study takes advantage of male worker's data of 10th KLIPS(Korea Labor & Income Panel Survey) in 2007 and analyze the wage effect of military service. According to empirical result using Mincerian earnings function, the positive effect of military service appeared. These result shows men who finished military duty have an monetary advantage in Korean labor market unlike general perceptions on military service.

• Journal of Family Resource Management and Policy Review
• /
• v.26 no.3
• /
• pp.65-85
• /
• 2022

This study aims to contribute to social work practice in understanding marriage and divorce as transitions and in helping women make meaningful decisions on whether to stay or leave the marriage by examining the factors that impact women's divorce decision making over time. This is a longitudinal study that used survival analysis by Korean Longitudinal Survey of Women and Families' panel data. Finally, cox regression analysis was used to evaluate the impact of each factor on divorce decision making, and accordingly, all regression models were appropriate for analysis.

• Asian Journal for Public Opinion Research
• /
• v.2 no.3
• /
• pp.196-227
• /
• 2015

The premise of the intentional model of split-ticket voting is that some voters split their tickets simply because they prefer divided government and believe in constant "checks and balances." This article examines whether this premise stands firm in an emerging democracy like Taiwan. That is, by using survey data in Taiwan, we explore whether one's attitude toward divided or unified government is "real." We hypothesize that a citizen's attitude toward "checks and balances" is subject to change, and conditional on whether her preferred party is in power. Specifically, we speculate that a citizen would tend to hold the balancing perspective or favor divided government, if her preferred party is in opposition. However, if her preferred party becomes the ruling party, she would be more likely to oppose (hold) the balancing (non-balancing) perspective or favor unified government. We then utilize panel survey data embedded in Taiwan's Election and Democratization Studies (TEDS) to verify our hypothesis.

• Journal of Distribution Science
• /
• v.13 no.12
• /
• pp.33-40
• /
• 2015

Purpose - Given an increase in the consumption of plums, prices have fluctuated in an unstable manner, making it difficult for farmhouses to sell the product. This study intends to provide information on the cultivation and sale of plums to consumers, thus enabling producers to utilize relevant information to analyze the types of plums that are preferred and consumed by users. Research design, data, and methodology - In this study, a survey was conducted on plum consumption by a consumer panel established and operated by the Rural Development Administration in December 2009. The objective was to identify the purchasing awareness of plums and to analyze panel data from 2010 to 2013 using a linear regression model, a Tobit model, and a panel regression model to derive the purchase characteristics. Results - The outcome of the survey on plums is as follows. Plums are purchased because they are good for the health (90.6%), which means that most customers purchase plums for their health benefits. When plums are in season, the purchase rate is 94.8%, indicating that most plums are purchased when they are in season and that selling plums when they are out of season is difficult. Therefore, we sell most plums in the correct season, and the rest of the plums need to be processed and then sent to markets. The strongest reason for not purchasing plums is that they are difficult to process for consumption (63.1%), followed by the reason that the fruit is unfamiliar (15.5%). Regarding solutions for increasing the consumption of plums, the answers were as follows: distribute a recipe for plums (36.9%), advertise its effect through TV or the press (31.1%), and develop various processed products (15.6%). When customers decide to pick out plums, the major considerations were freshness (4.43), safe to eat (4.16), price (3.96), size (3.87), brand (3.28), and discount event (2.62). Freshness is important for decision making and safe to eat was more important than price because plums are washed and processed into plum jam. According to the results of the linear regression model, a higher family income results in a higher purchasing amount. However, the amount of plums purchased by a person was reduced if his or her income increased. Compared with individuals who used other purchasing agents on weekdays, those who used the traditional market turned out to purchase a higher amount of plums on the weekdays. Conclusions - Considering that numerous people purchase plums for their health benefits, promoting the consumption of plums is anticipated as being successful if they can be produced safely for consumption and for inclusion in recipes and various processed foods, and to promote eco-friendly agricultural practices.

• International journal of advanced smart convergence
• /
• v.8 no.1
• /
• pp.87-97
• /
• 2019

Data mining technology is applied to various fields because it is a technique for analyzing vast amount of data and finding useful information. In this paper, we propose a big data analysis method that uses Apriori algorithm, which is a data mining technique, to find the related factors that have negative and positive influences on school adjustment. Among Korea Child and Youth Panel Survey(KCYPS), data related to adjustment to school life and data showing parental inclinations were extracted from the data of fourth grade elementary school students, first year middle school students, and high school freshman students, respectively and we have mapped the useful association rules among them. As a result, the factors affecting school adjustment were different according to the timing of the growth process, we were able to find interesting rules by looking for connections between rules. On the other hand, the factors that positively influenced school adjustment were not significantly different from each other, and overall, they were associated with positive variables.

• Communications for Statistical Applications and Methods
• /
• v.17 no.6
• /
• pp.899-907
• /
• 2010

Several non-response imputation methods are suggested, however, mainly cross-sectional imputations are studied and applied to this analysis. A simple and common imputation method for panel data is the cross-wave regression imputation or carry-over imputation as a special case of cross-wave regression imputation. This study suggests a multiple imputation method combined time series analysis and cross-sectional multiple imputation method. We compare this method and the cross-wave regression imputation method using MSE, MAE, and Bias. The 2008 monthly labor survey data is used for this study.