• Title/Summary/Keyword: Heckman%27s sample selection model

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The wage determinants applying sample selection bias (표본선택 편의를 반영한 임금결정요인 분석)

  • Park, Sungik;Cho, Jangsik
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.5
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    • pp.1317-1325
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    • 2016
  • The purpose of this paper is to explain the factors affecting the wage of the vocational high school graduates. We particularly examine the effectiveness of controlling sample selection bias by employing the Tobit model and Heckman sample selection model. The major results are as follows. First it is shown that the Tobit model and Heckman sample selection model controlling sample selection bias is statistically significant. Hence all the independent variables seem to be statistically consistent with the theoretical model. Second, gender was statistically significant, both in the probability of employment and the wage. Third, the employment probability and wage of Maester high school graduates were shown to be high compared to all other graduates. Fourth, the higher parent's income, the higher are both the employment probability and the wage. Finally, parents education level, high school grade, satisfaction, and a number of licenses were found to be statistically significant, both in the probability of employment and wages.

Determinants of Farmers' Participation and Acceptance Level in Uiseong Traditional Agricultural Water Utilization System Conservation Activities (의성 전통 수리 농업시스템 보전 활동에 대한 농가 참여 및 수용수준의 결정요인)

  • Kim, Se-Hyuk;Lee, Se-Yeop;Kim, Tae-Kyun
    • Journal of Korean Society of Rural Planning
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    • v.27 no.3
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    • pp.47-56
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    • 2021
  • The purpose of this study is to identify the determinants of local farmers' participation and acceptance level in traditional agricultural technology conservation activities, using on the traditional agricultural water utilization system in Uiseong designated as Korea's important agricultural heritage system No. 10. The Heckman sample selection model was used to solve the selection bias. The results show that as the interest in the conservation of the agricultural ecological and environment is high, as the traditional agricultural system in Uiseong is used, as the cultivation area of paddy field increased, and as the age 50s or older, the willingness to participate in conservation activities increased. The results also indicate that as the experience of participating in the conservation of the agricultural ecological and environment and the hours of education are increased, the knowledge of the traditional agricultural system in Uiseong is low, and as the cultivation area of paddy field decreased, the acceptance time for conservation activities increased. The results of this study may contribute to government's policy for traditional agricultural technology conservation.

Impact of Digital Divide on Online Political Participation: With Focus on the Gap of Operational Skills of Digital Device Users (온라인 정치참여에서 디지털 정보격차의 영향: 디지털 기기 이용자의 기기 운용 기술 격차를 중심으로)

  • Jang, Changki;Sung, WookJoon
    • Informatization Policy
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    • v.27 no.1
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    • pp.36-54
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    • 2020
  • This study empirically analyzes the impact of digital divide between digital device usage motivation and operational skills on online political participation. The analysis was performed using the National Information Society Agency's 2018 digital divide survey data from September to December 2018 and applying the Heckman selection model to control the sample selection bias that may occur between internet users and non-users. The result shows the gap in motivation and device operational skills of individual citizens using digital devices has significant impact on online political participation. In socio-economic terms, it shows the age, education level and regional factors also have significant impact on online political participation, while gender and income levels do not. This study holds significance in that there are different patterns of digital divide between digital devices, identifying the motivation to use a digital device as an important factor for mobile device users, and the device operational skills, for personal computer users.