• Title/Summary/Keyword: job-related migration pattern

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Prediction for the Spatial Distribution of Occupational Employment by Applying Markov Chain Model (마르코프 체인 모형을 이용한 직종별 취업자의 공간적 분포 변화 예측)

  • Park, So Hyun;Lee, Keumsook
    • Journal of the Korean Geographical Society
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    • v.51 no.4
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    • pp.525-539
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    • 2016
  • This study attempts to predict the changes in the spatial distribution of occupational employment in Korea by applying Markov Chain Model. For the purpose we analyze the job-related migration pattern and estimate the transition probability with the last six years job-related migration data. By applying the Chapman-Kolmogorov equation based on the transition probability, we predict the changes in the spatial distribution of occupational employment for the next ten years. The result reveals that the employment of professional jobs is predicted to increase at every city and region except Seoul, while the employment of elementary labor jobs is predicted to increase slightly in Seoul. In particular, Gangwon-do and Chuncheongdo are predicted to increase in the employment of all occupational jobs.

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