Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지
DOI QR코드

DOI QR Code

Statistical analysis of economic activity state of workers with industrial injuries using a competing risk model

경쟁위험분석을 이용한 산재 근로자의 원직장복귀에 대한 연구

  • Doh, Gippeum (Department of Statistics, Sookmyung Women's University) ;
  • Kim, Sooyeon (Department of Statistics, Sookmyung Women's University) ;
  • Kim, Yang-Jin (Department of Statistics, Sookmyung Women's University)
  • 도기쁨 (숙명여자대학교 통계학과) ;
  • 김수연 (숙명여자대학교 통계학과) ;
  • 김양진 (숙명여자대학교 통계학과)
  • Received : 2015.07.23
  • Accepted : 2015.11.16
  • Published : 2015.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Competing risk analysis is widely applied to analyze a failure time with more than two causes. This paper discusses the application of a competing risk model to a economic activity state of workers with occupational injuries. In particular, main interest is to estimate the distribution of restarting time two kinds of economic activities, (i) returning to original working place and (ii) finding a new job. In this paper, we applied a cumulative incidence function to evaluate their patterns under several individual factors and working place's factor. Furthermore, a subdistributional regression model is applied to estimate the effect of these factors on the returning time. According to result, worker with higher education, younger age and longer working period had a higher chance to return an original working place while one with more severe injuries and skilled laborer had longer returning time to an original working place.

본 논문에서는 '제1회 산재보험패널조사'에서 제공된 자료를 이용하여 산재 근로자의 경제 활동 유형의 특성을 연구하였다. 조사 대상자는 2012년도에 산재 요양을 종결한 근로자이며 총 2,000명이 지역, 장해등급 및 재활서비스 이용여부로 층화계통추출되었다. 본 연구에서는 근로자가 산재 후 참여하는 경제활동의 유형으로 원직장복귀뿐만 아니라 다른 직장으로의 재취업의 가능성을 고려하여 이러한 경제활동으로의 이동에 어떤 요인이 영향을 미치는지 조사하고자 한다. 원직장복귀에 영향을 미치는 요인을 분석하기 위하여 총 1,463명의 연구 대상자에게 경쟁위험 분석방법을 적용하였다. 또한 경제활동상태에 영향을 미치는 요인을 세 가지 유형 (산재 근로자의 특성, 재해 사업장의 특성, 산업재해의 특성)으로 나누어 통합 분석을 시행하였다. 분석 결과를 통해 학력이 높고 근로기간이 길수록 원직장복귀가 빨라짐을 알 수 있었다. 또한 연령이 높고, 기능원 및 관련 기능직에 종사자이며, 장해의 정도가 심한 산재 근로자가 원직장복귀까지 더 오랜 시간이 걸렸음을 알 수 있었다.

Keywords

References

  1. Ahn, H. S. (2006). Social welfare policy, Seohyunsa, Korea.
  2. Andersen, P. K., Borgan, O., Gill, R. D. and Keiding, N. (1993). Statistical models based on counting processes, Springer-Verlag, New York.
  3. Barrett, J. K., Siannis, F. and Farewell, V. T. (1999). A semi-competing risks model for the data with interval censoring and informative observation. Statistics in medicine, 30, 1-10.
  4. Fine, J. P. and Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association, 94, 496-509. https://doi.org/10.1080/01621459.1999.10474144
  5. Hudgens, M. G., Li, C. and Fine, J. P. (2014). Parametric likelihood inference for interval censored competing risks data. Biometrics, 70, 1-9. https://doi.org/10.1111/biom.12109
  6. Kang, H. T., Im, H. J., Kim, Y. K., Ju, Y. S., Lee, H. P., Kim, J. M. and Kwon, Y. J. (2006). Predictors of return to work and job retention after work-related injury or illness. Korean Journal of Occupational And Environmental Medicine, 18, 221-231.
  7. Kim, Y. J. (2013). Survival analysis, Freeacademy, Korea.
  8. Kitabo, C. A. and Kim, J. T. (2014). Survival analysis of bank loan repayment rate for customers of Hawassa commercial bank of Ethiopaia. Journal of the Korean Data & Information Science Society, 26, 1591-1598.
  9. Lee, S. W. and Park, H. J. (2007). A study on the return to work factors for industrially injured workers. Journal of Vocational Rehabilitation, 17, 69-99.
  10. Park, J. K., Oh, K. H. and Kim, M. S. (2012). Survival analysis on the business types of small business using Cox's proportional hazard regression model. Journal of the Korean Data & Information Science Society, 23, 257-269. https://doi.org/10.7465/jkdi.2012.23.2.257
  11. Park, S. K. (1999). A study on factors affecting reemployment of the disabled workers owing to industrial injury in Korea. Korean Journal of Social Welfare, 37, 67-88.
  12. Yee, S. Y. (2003). An analysis on the status and determinants of injured workers' return to work after industrial accidents, Korea labor institute, Sejong, Korea.

Cited by

  1. Cox 비례위험모형을 이용한 우측 대장암 3기 자료 분석 vol.28, pp.2, 2017, https://doi.org/10.7465/jkdi.2017.28.2.349
  2. Nonpararmetric estimation for interval censored competing risk data vol.28, pp.4, 2015, https://doi.org/10.7465/jkdi.2017.28.4.947