• Journal of Families and Better Life
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• v.12 no.2
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• pp.50-59
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• 1994

본 연구에서는 가사노동분배에 영향을 준다고 믿어지는 결혼여부가 남녀임금격차에 미치는 영향을 조사하기 위하여 계속해서 직장에 근무하고 있는 기혼남녀와 미혼여성들의 임금수준과 인적자본의 수익들을 비교분석하였다 미국의 NLSY 데이터를 이용하여 Probit 분석과 최소자승법에 의한 회귀분석으로 자교를 분석하였으며 임금격차를 분리하는 과정은 Oaxaca(1973) 등이 사용한 절차와 같은 방법을 이용하였다 Probit 분석결가 기혼남성의 경 우 많은변수들이 지속적인 전일제 근무자가 될 가능성을 높이거나 낮추는 반면에 단지 소수의 변수들만이 기,미혼여성들에게 유의한 효과를 나타냈다 회귀분석결과 결혼여부보다는 성별관계가 임금을 낮추는 것으로 나타났으며 기혼남녀간 임금차액의 38~39%를 기혼남성과 미혼여성간 임금차액의 61~65%가 인적자본의 특성에 의해 설명되었다 본연구결과는 가정내 의 노동분배가 임금격차의 중요한 요소라는 Becker의 가설을 증명하지 못하고 있다 이는 여성의 미래 경제적지위를 염려해야 할 상당한 근거를 제시하며 인적자본의 양을 통제하였 을 때에도 임금격차가 만연하였기 때문에 인적자본의 질적인 면이 포함된 연구가 필요하다.

• Korea journal of population studies
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• v.25 no.1
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• pp.181-211
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• 2002

Using the fourth data of the Korea Labor and Income Panel Study (KLIPS), this paper analyzed sexual differences in the promotion possibility and the promotion experience. Effects on wage of the promotion possibility and the promotion experience have been also discussed in detail. The promotion probability of a male worker in his current job is as high as twice than that of a female worker after controlling other independent variables. However, if we restrict the analysis to workers who either can be or was promoted, the sexual difference in the promotion possibility is greatly narrowed. This result suggests that the continuous career development without disruption is critical for the promotion of female workers. Analysing the sexual difference in wage using Oaxaca and Ransom's methodology, explanatory variables, such as human capital, residential area, etc., explained 69.5% of wage difference between male and female workers. Especially, 13.9% of wage difference was contributed to sexual differences in the promotion possibility and the promotion experience. This kind of empirical result emphasized once again the importance of promotion on wage.

• Journal of Labour Economics
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• v.37 no.4
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• pp.113-141
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• 2014

This paper examines the occupational gender wage gap in the Korea labor market. This paper classifies occupations into three(the blue-collar profession, white-collar profession and female-dominated profession) according to job characteristics and female worker's ratio. To analyze occupational gender wage gap, this paper uses Mincer's wage equation(1974) and Oaxaca model(1973). The results are listed below. First, the gender wage gap is growing in all occupations. Second, the cause of increasing gender wage gap varies in different occupations.

• Journal of Labour Economics
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• v.24 no.2
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• pp.63-94
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• 2001

Based on the human capital theory, the wage differentials among laborers are generated from the discrepancy of human capital stock which depends on individual laborer's decision. Hence, the wage differentials among laborers or between male and female are not the results of discrimination, but the results of individual choice. But, if the individual choice for human capital stock would be affected by the male-female discrimination, the explanation for male-female wage differentials base on the human capital stock has a bias. Actually, women have experienced in the discrimination on labor market participation due to gravity, parturition, infant rearing. Also, it is a fact that women have been discriminated against men in labor market owing to social, traditional, and cultural discriminations. If woman or her parent will less invest on human capital than man owing to the existence of discrimination in labor market, the 'expected human capital stock' instead of human capital stock will explain male-female wage differentials better. Therefore, in this study, we set up three models; first model includes working hours, industry, occupation, etc which are in general used as explanatory variables for wage decision, second model includes the variables which reflect the traditional human capital stock together with the first model's explanatory variables, third model employes the 'expected human capital stock' instead of traditional human capital stock. From the empirical test, the estimates of discrimination in three models are .93, .60, and, .48 respectively. This result implies that the male-female wage differentials in Korea can be explained by the discrepancy of 'expected human capital stock'. Since the discrepancy in expected human capital stock depend on the disparity in life-cycle labor force participation, male-female wage differentials can largely be attributed to male-female disparity in expected lifetime labor force participation.

• KDI Journal of Economic Policy
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• v.4 no.2
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• pp.59-87
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• 1982

• Journal of Labour Economics
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• v.24 no.2
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• pp.1-34
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• 2001

This study analyzes the male-female difference in self-employment rates in Korea using panel data constructed from the Economically Active Population Survey in 1999. Given that most studies on self-employment have focused on male self-employment and have not examined why self-employment rate is usually higher among males than females, this study certainly extends the existing literature on this subject This study consists of two parts. The first part deals with estimating self-employment rates for males and female within a Markov framework. The second part presents decomposition results of the male-female differential in self-employment rates. Major findings of the study are (1) self-employment rate is higher for males than females because entry into self-employment is larger but exit from self-employment is smaller for males than female, (2) higher entry probability for males is due to differences in coefficients of transition probability functions while lower exit probability for males is due to differences in characteristics, (3) a large part of male-female gap in self-employment rates results from differences in being a head of family, marital status and age between males and females.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.143-152
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• 2019

Purpose : To analyze how the Fourth Industrial Revolution affects the gender gap. Method : This study regressed the relationship between ICT development index, network Readiness index and gender gap in 145 countries all over the world. Results : The ICT development index was not statistically significant, but the network readiness index was positively correlated with female labor participation rate and gender wage equality ratio, indicating that the progress of the $4^{th}$ industrial revolution increased female participation in labor but the wage gap has been shown to intensify. Conclusion : The results verify the hypothesis that the $4^{th}$ industrial revolution led by the information and communication revolution affects the labor market conditions of women.

• Journal of Labour Economics
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• v.29 no.3
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• pp.25-48
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• 2006

In this study, the wage differentials between standard and non-standard workers are estimated using the data from the Establishment Employment Survey of 2003. The estimated wage differentials between standard and non-standard workers become greater controlling for the fixed effects of establishments. The within-establishment wage differential is estimated to be 20.7% between male standard and male non-standard workers in unorganized establishments controlling for establishment heterogeneity. However, the estimated overall wage differential is reduced to 6.8% due to the high wages of non-standard workers in large size establishments and the low wages of standard workers in small size establishments. This difference between 20.7% and 6.8% reflects the between-establishment wage differential. In organized establishments, the wage differential becomes larger, 21.8%, between male standard and male non-standard workers. For the male workers, the greatest wage differential between standard and non-standard workers is found in unorganized large size establishments: it is 35.9%. In organized establishments, it contracts to 25.8%. The additional estimations on the probability of becoming non-standard workers are done. For the male sample, the probability of standard workers to become non-standard workers in unorganized establishments is 6.0 percentage points higher than that in small size organized establishments. The probability is 20.7 percentage points higher for the female sample. However, the signs of the interaction terms of union and large size establishments are all negative. While the effect of large size establishments reduces the effect of union on the probability to 7.3 percentage points for the males, it reduces the probability to 16.0 percentage points for the females.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.89-117
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• 2014

Employing female in the field of science and engineering is becoming increasingly important with diversity and creativity emerging as key factors to build Creative Economy. Under these circumstances, it is necessary to recognize and discourage gender discrimination in the labor market by analyzing wages - the market value of labor which determines one's economic status. This study uses the Oaxaca-Ransom decomposition (1994) to analyze the gender wage gap and identify factors influencing the pay gap in science and engineering labor force. The results of this study are as follows: First, the average wage of female scientists and engineers reaches only 65% of that of male labor force, and the male scientist and engineers are superior in terms of personal attributes, for instance, education background. Second, looking at the factors that influence wages, wage premiums are associated with higher education background, older age, longer period of service, and weekly working hours for both male and female in managerial positions. Third, the wage decomposition shows that in the case of science and engineering labor force, the productivity difference by personal attributes reaches about 58%, and gender discrimination by the characteristics of the labor market stands at about 41%. This means the wage gap by productivity level in science and engineering labor force is wider, and the gender gap is smaller compared to non-science and engineering fields. However, the results of an analysis on specialties and education background of male and female scientists and engineers suggest that the discrimination against women is more serious when the percentage of the female labor force is low and the percentage of temporary workers in the labor market is high. In order to eliminate this discrimination, it is necessary to reduce the imbalance of female scientists and engineers in the labor market, among others, while female scientists and engineers, themselves, need to make continuous efforts to strengthen their capabilities.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.288-299
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• 2020

The gender mainstreaming strategy was formulated at the 4th UN World Conference on Women in Beijing in 1995 and quickly spread globally. In the Korean film industry, the gender ratio of the key creative roles - directors, writers, and producers is very unbalanced. The staffs are divided into woman and man departments and there is a gap in wages between woman and man workers. Gender equality in the Korean film industry require the adoption of a gender mainstreaming strategy that involves independent agenda setting and key performance indicators.