• Economic Analysis
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• v.26 no.4
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• pp.98-136
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• 2020

We empirically investigate the determinants of a firm's exit from exporting, using Korean manufacturing firm-level data for the period from 2006 to 2014. Specifically, we estimate the effects of not only firm-level and industry-level characteristics, but also macroeconomic variables on the probability that a firm stops exporting by applying a Complementary Log-Log Model analysis. The results of our estimation suggest that firm-level heterogeneity, such as workforce size, capital intensity, intangible assets and foreign ownership, industry-level variation, such as the labor displacement rate, and macroeconomic variables, such as domestic demand and world demand, significantly affect the possibility of a firm ceasing exports. Also, we show that market interest rates increase the possibility of an export cessation and that the effects of market interest rates are more pronounced on firms with a higher debt ratio. In the primary exporting industries, the probability of a firm ceasing exports decreases as productivity at the firm rises.

• Korean Journal of Labor Studies
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• v.14 no.2
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• pp.23-58
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• 2008

본 연구는 한국노동연구원에서 실시한 "일과 가족 양립 지원제도 운영실태조사" 원자료를 활용하여 우리나라 기업의 유연근로제도에 대한 수용성 정도를 실증분석한 것이다. 유연근로제도를 포함한 가족친화 경영의 기업수용성은 출산과 양육친화단계에서는 높지만, 가족친화적 경영수준으로는 확장되지 않고 있음을 발견할 수 있었다. 기존의 연구와 달리 기업 특성을 성(gender)과 시장(market) 가치에 따라 구분하여 유연근로제도의 수용성이 어떤 영역에서 높게 나타나는지를 분석한 결과 여성친화적-고시장성 기업일수록 보다 높은 수용성을 가지는 것으로 나타났다. 또한 다변량분석을 활용하여 유연근로제도에 대한 기업의 수용성 결정요인을 도출하였는데 여기에서는 비정규직 활용과 유연근로제도가 대체관계에 있는 것으로 분석되었다. 따라서 현재 우리나라 노동시장에서 큰 이슈가 되고 있는 비정규직의 무분별한 활용과 증가를 억제할 수 있는 대안 중의 하나로 유연근로제도를 활성화하는 방안을 제안할 수 있으며, 이는 기업의 효율적인 인력운영과 함께 일자리의 질도 제고시킬 수 있어 기업과 근로자가 모두 윈윈(win-win)하는 전략이 될 수 있음을 시사한다고 하겠다.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.411-429
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• 2019

There are not many studies on job satisfaction among older workers living alone. This study examined the determinants of job satisfaction for older workers living alone, and the job satisfaction was analyzed by the demographic-social factors, the health-psychological factors, and labor factors regarding to sex and ages. Korean Labor and Income Panel Study(KLIPS, 18th) used in this study, and the subjects were 308 older worker living alone and over 55 years old. The determinants of job satisfaction for male respondents were happiness, organizational commitment, and duration of work. Howver, the determinants of job satisfaction for female respondents were age, happiness, organizational commitment, and levels of skill. Income, organizational commitment, employment stability, and duration of work were the determinants for 55-64 years old. Education, organizational commitment, and levels of skill were the determinants for 65-74 years old. Education and happiness were the determinants for 75 years old and over. Age, income, happiness, organizational commitment, employment stability, duration of work, and levels of skill were the determinants of job satisfaction for all respondents. Finally, this study proposed the policy and practical implications for improving of job satisfaction among older workers living alone.

• Journal of Labour Economics
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• v.41 no.1
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• pp.1-38
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• 2018

The paper investigates the determinants of female, maternal, and male employment in a comparable setting using an unbalanced panel data of 29 OECD countries from 2000-2013. Our empirical results show that early childhood childcare and education (ECEC) is positively associated with female employment. Furthermore, we find that ECEC does not hurt male employment. We also find that tax rates on the second earner are negatively associated with male employment as well as female employment. The estimated coefficients of ECEC, social expenditure, tax rates, and tertiary education attainment rates in maternal employment regressions are much larger in the absolute value than those in female employment regressions. Policy implications of our analysis are that an expansion of ECEC, a lower tax on secondary earner, and education are key to promote the total employment as well as female employment.

• Land and Housing Review
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• v.13 no.1
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• pp.39-54
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• 2022

Using the 1st to 13th rounds of occupational history data of the Korea Employment Information Service's Youth Panel (YP2007), this study explores the trends and characteristics of the youth labor market in Seoul. We further empirically investigated the job duration and wage determinants of youth employed in Seoul. The results confirm that workers who have a higher income and a higher consistency with their majors are less likely to leave. In addition, we find that workers in full-time, householders, or labor unions have a higher income if they are men and work in large companies. In particular, compared to the reference group (appropriate academic background, appropriate skill), mismatches in the lack of education and skill showed a wage increase effect of 4.9% and 5.5%, respectively. For the major consistency, the wage of the matched major group is 3.8% higher than the non-matched major group.

• Journal of Labour Economics
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• v.38 no.1
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• pp.31-65
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• 2015

This paper examines why older wage workers leave their jobs and what determine the hazard of retirement. Major results are as follows. First, aged workers leaving their jobs because of formal mandatory retirement are relatively few in number and largely males employed in large establishments. Second, a higher hourly wage is associated with a greater retirement hazard, especially among male employees of large firms. Third, informal mandatory retirement puts a strong pressure towards retirement among older female workers. Fourth, poor health is the primary reason for retirement among older workers, especially for females and small-firm employees. Finally, reasonable hours and greater flexibility of work tend to lower retirement hazard. We discuss some implications of the results for old-age labor market policies.

• Journal of Labour Economics
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• v.39 no.1
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• pp.1-31
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• 2016

This paper investigates the cyclical behavior of UI benefit take-up rate, the share of unemployed persons who are eligible for job seekers' allowances(JSA) and actually receive them. Using Korea's Employment Insurance DB, it also identifies the factors linked to the decision to take up job seekers' allowances. The results show that the take-up rate is countercyclical and leads both unemployment rate and Coincident Composite Index cyclical component by 6 months and is positively correlated with replacement rate and benefit duration, suggesting that extending benefit duration and raising benefit level can boost benefit claims to increase take-up rates in Korea.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.173-198
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• 2018

In this paper, we analyze the determinants of the adoption of industrial robots using the data from 42 countries, and thereby examine the factors underlying the rapid expansion of industrial robots in Korea. To this end, the industrial robot data for the years 2001-2016 were drawn from the World Robotics dataset of the International Federation of Robotics (IFR). The explanatory variables included labor market environment variables and innovation capacity variables extracted from the dataset of the relevant international organizations. For data analysis, the Arellano-Bond dynamic panel analysis was performed to control for the endogeneity problem of some explanatory variables. The empirical results confirmed the exceptionally rapid expansion of industrial robots in Korea as compared to other countries, even when considering the national income level, employment cost, and innovation capacity. This phenomenon could be attributed to both the demand-side and supply-side factors. For one thing, changes in the labor market environment, such as an increase in employment costs, have led to an increase of the corporate demand for industrial robots. For another, the supply-side factors, such as an increase in the capital intensity and innovation capacity of companies, have also contributed to the widespread adoption of industrial robots.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.265-279
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• 2018

This study conducted an experiment using data mining techniques to develop prediction models of worker job turnover. The experiment used data from the '2015 Graduate Occupational Mobility Survey' by the Korea Employment Information Service. We developed the prediction models using a decision tree, Bayes net, and artificial neural network. We found that the decision tree-based prediction model reported the best accuracy. We also found that the six influential factors affecting employees' turnover intention are type of working time, job status, full-time or not full-time, regular working hours per week, regular working days per week, and personal development opportunities. From the decision tree-based prediction model, we derived 12 rules of employee turnover for all job types. Using the derived rules, we proposed helpful directions for enhancing workers' job tenure. In addition, we analyzed the influential factors affecting employees' job turnover intention according to four job types and derived rules for each: office (ten rules), culture and art (nine rules), construction (four rules), and information technology (six rules). Using the derived rules, we proposed customized directions for improving the job tenure for each group.

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.119-141
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• 2006

This study aims to explore the status and characteristics of the working poor and to identify the major determinants of their statistic status. For this, longitudinal panel data (from 2nd wave(1999) data to 7th wave(2004) data) from Korean Labor and Income Panel Study (KLIPS), is used. The data is analyzed by adopting Hierarchical Generalized Linear Model (HGLM), which is known as an app.opriate data analysis method for the hierarchically structured data, to look at the factors that affect on the poverty status of the working people. The results show that 1) it is estimated that about 1 out of 10 working people (about 10.0%) are poor, and 2) sex, education level, marital status, region where they lives, employment status, occupation type, and industry type that they are working at are significant predictors in determining their poverty status. Unlike the results of the previous studies, however, the number of the household member, age are not influenced on their poverty status. Based on these results, several policy implications are presented at the end of this paper.