• Title/Summary/Keyword: employment rate of female student

Search Result 4, Processing Time 0.023 seconds

The Effect of Female Faculties on Female Students' Employment (대학교수의 여성 비율이 여학생의 취업에 미치는 영향)

  • Ko, Eunbi;Kim, Jin Yeong;Song, Heonjae
    • Journal of Labour Economics
    • /
    • v.43 no.1
    • /
    • pp.93-114
    • /
    • 2020
  • According to the role model effect, gender of faculty plays an important role in students' employment. This paper investigates the effect of female faculties on female college students' employment in Korea. The fixed effect estimation results show that the percentage of female faculty has no statistically significant effect on female students' employment rate, although the 1%p increase of female faculty appears to be related with the employment rate of female students by 0.102%p in estimation using pooled OLS estimation. We have the almost same results even with dividing female students by major fields. These results can be interpreted the students' employment rate may be influenced by many other factors, such as personal characteristics, abilities, and family background besides faculty gender. We find that there is no empirical evidence of statistically significant effect of the faculty gender on the employment rate of female students.

  • PDF

A Study on Customized Employment Strategy for Utilizing Big Data (빅데이터를 활용한 맞춤형 취업 전략에 관한 연구)

  • Koo, Gun-Seo
    • Journal of the Korea Society of Computer and Information
    • /
    • v.20 no.1
    • /
    • pp.175-183
    • /
    • 2015
  • In this paper, we propose a analyses the big data of students who are willing to find employment and thus presents strategy for their higher success rate of employment. The experiment covered in this paper is based on female two-year community college students who are yet unsure about their future employment. The primary flaw of pervious employment strategy was job opportunity was only based on simple factors such as student's grade, appearance, and personality due to employers and firms's demand. Therefore, students were less satisfied and often resign. In order to prevent these failures, this paper plans a strategy by analyzing the big data. Furthermore, this is proven by the comparison between 2014 employment statistics and those of previous years, and employment request has been 21.3 percent increased along with 81.4 percent increase in match rate between firms and graduating students. Most importantly, the final success rate of employment presented 63.1 percent increase compared to the previous year.

Effects of Employment and Marital Status on Health Status of Women and Men (취업과 결혼상태가 남녀의 건강에 미치는 영향)

  • Park, Eun-Ok
    • Research in Community and Public Health Nursing
    • /
    • v.6 no.1
    • /
    • pp.84-97
    • /
    • 1995
  • There is a widespread concern that women's increasing involvement in dual role (job plus family role) may harm their physical health. Longevity of women is longer than that of men. By contrast, prevalence rate is higher in women than men, and No. of prevalence days, No. of days in bed and No. of days with treatment are more in women. Generally, women live longer, but women are worse in health status than men. Rate of labor participation in women is increasing gradually in Korea. This study presents an analysis of the relationships between employment. marital status and health for both Korean women and men to examine how women's increasing involvements in dual role affect their physical health. The data used in this analysis were collected by The National Statistical Office in the spring of 1992. Households, which were sampled by using a three-stage stratified cluster sampling method, were interviewed. Response rate was 99.43%. Of these, student or widowed or divorced people were excluded. 47,552 women and men aged 21-50 were available for the analysis. Health status was measured by self-assessed health status (1=excellent, 5=poor), No. of prevalent days, No. of days with treatment, and No. of days in bed in two previous weeks. And control variables are age, and education. Research findings are as follows : 1. Men have better self-rated health, fewer prevalent days, fewer days in bed, and fewer days with treatment than women. 2. The employed are more healthier than the non-employed. 3. Unmarried people are more healthier than married people. 4. Interaction effects of sex, marital status, employment are significant. This finding shows that effects of empolyment, marital status on health status is not same for women and men. 5. For male, employed people are more healthier than non-employed people. Unmarried people are more healthier than married people. This differences are significant. For female, The employed are more healthier than the non-employed. However, no differences are noticed between the married and the unmarried in health status. In conclusion, there is no evidence that women's involvements in dual role affect their physical health negatively.

  • PDF

A Study on Management of Student Retention Rate Using Association Rule Mining (연관관계 규칙을 이용한 학생 유지율 관리 방안 연구)

  • Kim, Jong-Man;Lee, Dong-Cheol
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.23 no.6
    • /
    • pp.67-77
    • /
    • 2018
  • Currently, there are many problems due to the decline in school-age population. Moreover, Korea has the largest number of universities compared to the population, and the university enrollment rate is also the highest in the world. As a result, the minimum student retention rate required for the survival of each university is becoming increasingly important. The purpose of this study was to examine the effects of reducing the number of graduates of education and the social climate that prioritizes employment. And to determine what the basic direction is for students to manage the student retention rate, which can be maintained from admission to graduation, to determine the optimal input variables, Based on the input parameters, we will make associative analysis using apriori algorithm to collect training data that is most suitable for maintenance rate management and make base data for development of the most efficient Deep Learning module based on it. The accuracy of Deep Learning was 75%, which is a measure of graduation using decision trees. In decision tree, factors that determine whether to graduate are graduated from general high school and students who are female and high in residence in urban area have high probability of graduation. As a result, the Deep Learning module developed rather than the decision tree was identified as a model for evaluating the graduation of students more efficiently.