• Title/Summary/Keyword: ordinal logit regression

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농어촌 주민의 삶의 질 영향요인 (Factors Influencing the Quality of Life of Rural Residents)

  • 이민수;신동호;윤순덕
    • 농촌지도와개발
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    • 제30권3호
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    • pp.157-170
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    • 2023
  • This study aims to identify factors that affect the quality of life of rural residents. Data were collected from 4,000 rural residents living in rural areas. Raw data was procured from the 'Survey on Rural Well-being in 2022 in Rural Development Administration'. The main results of the ordinal logit regression analysis are as follows. First, in the case of non-farm households, female, immigrants, more educated, more healthy are more likely to be highly perceived quality of life. In the case of full-time farm households, more healthy are more likely to be highly perceived quality of life. In the case of part-time farm households, younger, married, more healthy are more likely to be highly perceived quality of life. Second, for all rural housholds(non-farmers, full-time farmers, and part-time farmers), local amenities and safety also had positive impact on perception of quality of life.

Collapsibility and Suppression for Cumulative Logistic Model

  • Hong, Chong-Sun;Kim, Kil-Tae
    • Communications for Statistical Applications and Methods
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    • 제12권2호
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    • pp.313-322
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    • 2005
  • In this paper, we discuss suppression for logistic regression model. Suppression for linear regression model was defined as the relationship among sums of squared for regression as well as correlation coefficients of. variables. Since it is not common to obtain simple correlation coefficient for binary response variable of logistic model, we consider cumulative logistic models with multinomial and ordinal response variables rather than usual logistic model. As number of category of a response variable for the cumulative logistic model gets collapsed into binary, it is found that suppressions for these logistic models are changed. These suppression results for cumulative logistic models are discussed and compared with those of linear model.

사회 안전인식에 따른 지방자치단체 신뢰도 영향요인 분석 (Determinants of Trust in Local Governments - Focusing on Risk Perception)

  • 이윤주;최열
    • 대한토목학회논문집
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    • 제42권4호
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    • pp.591-597
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    • 2022
  • 코로나19 유행의 확산으로 인해 사회적 불안감이 높아지고 있는 가운데 기초지방자치단체 수준에서의 대응도 그 특성에 따라 달라지고 있다. 이에 2020년 부산광역시의 16개 시군구를 대상으로 한 사회조사를 바탕으로 가구주의 특성, 경제적 특성, 지역 애착 특성, 사회 안전에 대한 인식 특성이 기초지방자치단체 신뢰도에 미치는 영향을 순서형 로지스틱 회귀분석을 통해 분석하였다. 취약계층일수록, 지역이 안전하다고 느낄수록 기초지방자치단체에 대한 신뢰도가 높은 것으로 나타났다. 자연 및 사회적 재난 상황에서의 피해를 선제적으로 대응하고 회복하기 위해서 기초지방자치단체의 역량 강화에 지속적인 노력이 필요하다.