• Korean Journal of Social Welfare Studies
• /
• v.45 no.2
• /
• pp.123-146
• /
• 2014

This study aims to investigate the employment duration and the probability of quitting the job at first return-to-work of injured workers. This study collected data with structured questionnaires and finally included 515 injured workers. The Kaplan-Meier method is used for describing the employment duration, and the Cox regression is used to identify significant factors on the probability of quitting the job at first return-to-work. The results show that among the all respondents, the 5.65% quitted the job within 1 month, 14.14% within 3 months, 23.7% within 6 months, and 32.81% within 1 years. The Cox regression results show that the probability of quitting the job at first return-to-work is significantly affected by age, marital status, education, employment period when happened the accident, job retention, income change, and classification of diseases. As a result, some implication and policies are suggested for the return-to-work and employment durability of injured workers.

• Journal of Labour Economics
• /
• v.36 no.3
• /
• pp.1-27
• /
• 2013

This paper estimates the employment and wage effects of the duration of leave of absence for job preparation activities and the duration of leave of absence due to economic difficulties by using the first wave of the Graduates Occupational Mobility Survey of 2009 (2009GOMS1). The employment probability and wage increase by 1.6 percentage points and 4.0 percentage, respectively, with a month of the duration of leave for job preparation activities. The employment probability and wage decrease by 3.6 percentage points and 7.2 percentage, respectively, with a month of the duration of leave due to economic difficulties.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.5
• /
• pp.1317-1325
• /
• 2016

The purpose of this paper is to explain the factors affecting the wage of the vocational high school graduates. We particularly examine the effectiveness of controlling sample selection bias by employing the Tobit model and Heckman sample selection model. The major results are as follows. First it is shown that the Tobit model and Heckman sample selection model controlling sample selection bias is statistically significant. Hence all the independent variables seem to be statistically consistent with the theoretical model. Second, gender was statistically significant, both in the probability of employment and the wage. Third, the employment probability and wage of Maester high school graduates were shown to be high compared to all other graduates. Fourth, the higher parent's income, the higher are both the employment probability and the wage. Finally, parents education level, high school grade, satisfaction, and a number of licenses were found to be statistically significant, both in the probability of employment and wages.

• Journal of the Korean Data and Information Science Society
• /
• v.28 no.6
• /
• pp.1539-1545
• /
• 2017

In this paper, we analyze and discuss the trend of the probability and statistics problems that have been made in the public secondary school teacher employment exam for mathematics teachers. In order to properly teach the national mathematics curriculum in 2015 in terms of content and function, we investigate the probability and statistics contents that a mathematics teachers should know. We also analyze the contents and trends of the items that have been submitted for 15 years in public secondary school teacher employment exam, and discuss the contents, scope, level and direction of the future contents. In conclusion, considering the significance of the Big Data in the 4th industrial revolution, the problems of statistical thinking of data and probability, exploratory data analysis, sample survey, and statistical inference are needed more.

• Journal of Labour Economics
• /
• v.41 no.4
• /
• pp.31-62
• /
• 2018

Using matching and difference-in-differences estimation method, this study estimates causal effects of health shocks on employment and income of full-time workers aged 40-55. Acute hospital admissions lower significantly the employment probability and earnings. The changes in employment and earnings persist up to three years after the health shock. The economic impacts of health shocks vary by socioeconomic status and job characteristics among individuals. Irregular workers are more likely to leave their jobs after health shocks than regular workers. Among irregular workers, the probability of leaving labor market after health shock decreases with the size of the firm.

• Asia-Pacific Journal of Business
• /
• v.13 no.4
• /
• pp.11-24
• /
• 2022

Purpose - The purpose of this study was to examine how job seekers' spec influence their actual employment especially focusing on the differentiating effects of applicants' specs depending on whether general or decent job employment. Design/methodology/approach - This study conducted analyses on 54,443 samples that incorporated data from the Graduates Occupational Mobility Survey for three years (2017-2019) collected by the Korea Employment Information Service. The linear probability model and logit model were used to examine the research questions. Findings - The results analyzed with the hierarchical regression model showed that most job seekers' specs were statistically significant in predicting employment status. Interestingly, there is a difference between the factors predicting employment for a general job and a decent job. This study suggests academic and practical implications for future research in the selection/ recruitment field by clarifying the critical factors to influence applicants' employment. Research implications or Originality The results of this study follow the screening hypothesis which explains that the applicants' specs have significant impacts on actual employment. Also, the dual labor market theory, which explains that applicants' specs differently affect actual employment between general and decent jobs, was reaffirmed.

• Human Ecology Research
• /
• v.56 no.2
• /
• pp.175-193
• /
• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Journal of Labour Economics
• /
• v.24 no.1
• /
• pp.207-230
• /
• 2001

This paper uses the Korean Labor Panel data to investigate changes in the employment types of male workers following their job changes with the classification of workers into three categories: regular wage workers, non-regular wage workers, and self-employed workers. It also estimates a competing-risks hazard model to analyze the determinants of employment types of workers. The results show that the type of employment of a worker at an immediate previous job has a critical importance in determining his employment type at a new job and that the types of employment at jobs other than the immediate previous job also play some role in determining the type of employment at a new job, although their impact declines as the number of intervening jobs increases. A job loser, who worked as a non-regular worker at his immediate previous job, for example, is considerably less likely to find a regular job, but more likely to get reemployed at another non-regular job than one who worked as a regular worker at his immediate previous job. Similarly, a worker who quit self-employment is much less likely to find a regular job but more likely to restart his own business than one who worked as a regular worker at his immediate previous job. These findings suggest that it is not easy at all for a worker who worked as either a non-regular worker or self-employed worker to become a regular worker, although it might be premature to assert that non-regular jobs or self-employed jobs are dead-end jobs. Another interesting finding of this analysis is that a high unemployment rate lowers a probability of reemployment at either regular jobs or self-employed jobs, but raises a non-regular job reemployment probability, which strongly implies that as labor market conditions become adverse to workers the proportion of non-regular employment can rise rapidly.

• The Journal of the Korea Contents Association
• /
• v.21 no.10
• /
• pp.78-89
• /
• 2021

This study aims to identify the employment path of vocational instructors using sequential analysis. By grasping the employment path in detail, the study presents implications for implementing support measures for systematic preparation for employment. In particular, the study presents the relationship of the vocational instructor's employment path in stages through frequency analysis, conversion probability analysis, significance test, and conversion status diagram of each employment path. For the analysis, the survey results of the vocational instructors working at private vocational training institutions were used. In conclusion, (i) as for the frequency of past experience for employment as a vocational instructor, the share of work experience, teaching training, and teaching experience was large. (ii) In the employment path stage, work experience, teaching training, and teaching experience had the greatest influence on the transition to the later stage. (iii) The prominent employment path for vocational instructors was "work experience-teaching experience-teaching training." Based on the conclusions, the study proposes a plan for systematic employment of vocational instructors.

• Journal of the Korean Society of Safety
• /
• v.37 no.6
• /
• pp.118-127
• /
• 2022

This study analyzes the characteristics of occupational accidents of food delivery via motorcycle in terms of accident probability and work-days. Depending on their employment status, food-delivery workers were divided into "employed" workers (who work for restaurants) and "special-type" workers (who work for delivery platforms). Collected data include occupational accident-information during the last two years (1,468 cases for employed workers and 4,899 cases for special-type workers) and their risk information such as age, work experience, accident location, season of the accident, and weather conditions. The study finds that special-type workers had a significantly higher accident probability for the younger age group (80.8%), while employed workers had more accidents in both 20's or younger (34.9%) and 50's or older (25.4%). The number of work-days-lost was higher for special-type workers with less work experience, and it decreased with increasing work experience. Moreover, the chance for accidents was higher at night time (55%) than for day time (45%) for special-type workers as well as for employed workers. The number of work-days-lost was higher in foreign workers (180.79 days) than in Korean workers (121.44 days). Accident probability (30.7%) and work-days-lost (136.2 days) was higher in winter than in other seasons. In addition, accidents-per-day was higher on snowy days (12.7 cases per day) than rainy (8.1) and windy days (7.1). In addition, it was found that deadly accidents mainly caused injuries to face, head, and chest, while non-deadly accidents affected mainly the legs and feet. This study enables the development of better policies to prevent accidents of food delivery workers.