• Korean Journal of Occupational Health Nursing
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• v.25 no.1
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• pp.65-74
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• 2016

Purpose: The purpose of this study is to predict industrial accident rate using time series analysis. Methods: The rates of industrial accident and occupational injury death were analyzed using industrial accident statistics analysis system of the Korea Occupational Safety and Health Agency from 2001 to 2014. Time series analysis was done using the most recent data, such as raw materials of Economically Active Population Survey, Economic Statistics System of the Bank of Korea, and e-National indicators. The best-fit model with time series analysis to predict occupational injury was developed by identifying predictors when the value of Akaike Information Criteria was the lowest point. Variables into the model were selected through a series of expertises' consultations and literature review, which consisted of socioeconomic structure, labor force structure, working conditions, and occupational accidents. Results: Indexes at the meso- and macro-levels predicting well occurrence of occupational accidents and occupational injury death were labor force participation rate for ages 45-49 and budget for small scaled workplace support. The rates of industrial accident and occupational injury death are expected to decline. Conclusion: For reducing industrial accident continuously, we call for safe employment policy of economically active middle aged adults and support for improving safety work environment of small sized workplace.

• Journal of Labour Economics
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• v.43 no.2
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• pp.109-133
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• 2020

This paper estimates a matching function in Korea by using the method of Borowczyk-Martins et al. (2013) in order to mitigate endogeneity problems. The endogeneity was controlled through the GMM estimation by approximating the unobserved matching efficiency with the ARMA(p,q) process. The monthly data from the Economically Active Population Survey and Labor Force Survey at Establishments from June 2009 to December 2019 were used for the estimation. The matching elasticity that indicates the elasticity of new hires with respect to vacancies was estimated to be 0.859. When excluding 2019 samples, which had a large number of direct jobs provided by the government, the matching elasticity was lowered to 0.755, but still higher than that of other countries.

• Journal of Family Resource Management and Policy Review
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• v.15 no.2
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• pp.85-101
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• 2011

The purpose of this study is to ascertain the actual conditions of volunteering activities in respect to age-integrated leisure. This study is based on the 2010 Korea Leisure Life Survey. The participants in this study were 3015 people who reside in Korean cities, except for Jeju-do. Questionnaires from the 2010 Korea Leisure Life Survey were used for the final analysis. Data were analyzed through a descriptive analysis, Chi-Square test and ANOVA by SPSS WIN 17.0. The findings indicated that 18% of the participants participated in volunteer activities as leisure in the last one year. The major findings were as follows. First, demographic characteristics such as age, academic career, income, and marital status had a positive correlation with the degree of volunteer participation. Second, there were differences in duration and field of activities according to age. Third, though most of the non-volunteer reasons were 'lack of resources', there were different reasons based on age. In detail, the reason for 10-50 year-olds (economically active population) was 'lack of time', but the more than 60 year-olds was 'health concern'. Consequently, this access to the life cycle study shows the need to improve life satisfaction.

• Journal of Labour Economics
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• v.44 no.2
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• pp.71-90
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• 2021

This paper examines the effects of COVID-19 on the working hours and wages by employment types of wage workers. Using the Economically Active Population Survey-Supplementary Survey by Employment Types(2017-2020), I found that due to COVID-19, non-regular workers reduced their working hours more than regular workers, shrinking their opportunities to generate wage income. During the same period, the working hours and wage gap between new regular and non-regular workers widened, this was largely in part-time and short-term workers. As the working conditions change based on the initial level, these results show that efforts to improve their(new and short term workers) working conditions can contribute to mitigating labor market inequality.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.337-347
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• 2010

Most sample surveys are designed to estimate reliable statistics for the whole population and for some large subpopulations. However, the research for small area estimation have been increasing in recent years because users demand to reliable estimates for smaller subpopulations like small areas or specific domains. In Korea, the Economically Active Population Survey(EAPS) is the main household survey that produces monthly unemployment rates for nationwide and 16 large areas (7 metropolitans and 9 provinces) in Korea. For county level estimation, direct estimators are not reliable because of the small sample sizes. We consider small area estimation of the county level unemployment ratesfrom the sample observations in EAPS. To do this, we use an area level model to "borrow strength" from the auxiliary information, such as administrative data and census data. The proposed method is based on the assumption of normality of the model errors in the area level model. The proposed method is compared with the other alternatives in terms of the estimated mean squared errors.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.238-247
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• 2020

This study has a purpose to analyze quantitatively whether ICT industry provides the qualitative indicator of employment to attract excellent human resources. We investigate the relationships of labor market conditions among ICT manufacturing, non-ICT manufacturing, ICT services, non-ICT services. Therefore, the quantitative and qualitative indicators of employment (wages, working hours, admission and turnover, involuntary retirement, and the duration years of job) are analyzed for the ICT industry and IT workers. In order to quantitatively analyze qualitative indicators such as employment status and longevity, we used employment statistics. In order to compensate for the limitations of employment insurance data, the comparison analysis with the survey data of economically active population of the National Statistical Office was conducted. As a result of this research, ICT service industry has to improve the working conditions of employees and establish an ecosystem for a lifelong career base to grow as a specialist, need to pursue an investigation for ICT worker career shift, and promote standard labor contracts. In addition, protection of employees, ICT-related job vision and social respect have to be perused.

• Journal of Labour Economics
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• v.31 no.1
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• pp.29-57
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• 2008

We construct a unique panel data by using Korean Economically Active Population Survey (KEAPS) from 2003 to 2007 to estimate the returns to different types of job mobility among men. By adopting Mincer(1986)'s method, we estimate the wage change to job mobility after controlling the sample selection bias. There are four different types of job mobility that are concerned in the study: (1) voluntary job-to-job changes without experiencing unemployment, (2) voluntary job changes with experiencing unemployment, (3) involuntary job changes due to layoffs, and (4) involuntary job changes due to discharges. Our findings indicate that Korean men who changed jobs without experiencing unemployment realized wage gains of 7% while those who changed jobs through unemployment period lost 10% of their wages. Among those who changed jobs involuntarily and went through unemployment, the workers who discharged from the previous jobs realized substantially greater wage loss.

• Journal of Labour Economics
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• v.36 no.2
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• pp.67-94
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• 2013

Using data from the Economically Active Population Survey: Supplement by Employment Type, This paper examines the effects of the 2007 Act on the Protection of Fixed-term and Part-time Employees on employment levels. Since the Act is applied to only individuals below 55 years of age, we restrict the analysis sample to men whose ages are close to 55 at the time of the survey. For such a sample, the empirical analysis combines regression discontinuity design with a difference-in-differences. The results suggest that the employment effect of the 2007 Act takes a U-shape. The results suggest that the employment effect of the 2007 Act takes a U-shape. The negative effect of the Act was largest around August 2008, a year after it took effect. The negative effects on employment faded away toward August 2009.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1129-1138
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• 2011

Small area estimation has received significant intention in recent years due to a growing demand for reliable local area statistics. Traditional area-specific direct estimates based solely on sample survey data in the areas of interest do not provide adequate small area precision; however, design-based indirect local area estimators borrow strength from sample observations of related areas to increase the effective sample size. Design-based indirect estimation methods such as synthetic and composite estimators are considered to adjust local area unemployment rate estimates in the Korean Economically Active Population Survey. This study suggests an efficient alternative to minimize the cost to construct the unemployment rate of a local area through simulation under the condition that we can maintain a certain level of CV for the estimates. We obtained the results that the composite estimators using a sample size greater than 10 are more stable and significant at the level of CV 25% in our design scheme.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.349-356
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• 2009

In this study, we suggest the estimation method of the relative risk for the unemployment statistics of a small area such as si, gun, gu in Korea. The considered method are the usual pooled estimator, weighted estimator with the inverse of log-variance as weights, and the Jackknife estimator. And we compare with the efficiency of the three estimators by estimating the bias and mean square errors using real data from the 2002 Economically Active Population Survey of Gyeonggi-do. We compute the unemployed rate of male and female in small areas, and then estimate the common relative risk for the unemployed rate between male and female. Also, the stability and reliability of the three estimators for the common relative risk was evaluated using the RB(relative bias) and the RRMSE(relative root mean square error) of these estimators. Finally, the Jackknife estimator turned out to be much more efficient than the other estimators.