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Determinant of Poverty among the Elderly Living Alone : Using Decision Tree Analysis

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2016, 11(4), pp.351-358
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : August 31, 2016

Hwang, Myung Jin 1

1고려대학교

Accredited

ABSTRACT

This study is interested in examining a model that determine the poverty among the elderly population in Korea. Applying the Decision-tree analysis within data-mining techniques, as a methodological branch of Big-Data, the study used data from the National Panel Survey on Pension Plan of 2012 and extracted respondents under 2 conditions: age(those who were at 65 years and older) living arrangement( those who lived alone). Dependent variable was income sources and attributes toward the variable included economic activity, earned wage, house ownership, as well as the quality of life, which became independent variables. And then, the Decision-tree analysis were used to explain the cause of poverty while demographic variables used as control variables. Unlike findings from a logistic regressional analysis, the study results showed a hierarchical order of variables suggested in the hypothetical model. The results showed that economic independence played the key to determine poverty as those who worked and earned wage income from the labor market are much less likely to live out of poverty. However, those who are older than 76 and indicated a lower score at the life satisfaction are more likely to live under the poverty line. Policy related implications on the elderly population living alone were also discussed.

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