Quantile Regression Approach to Determine The Indicator of Health Status

Scirj Volume I, Issue IV, November 2013 Edition
ISSN: 2201-2796

Quantile Regression Approach to Determine The Indicator of Health Status

Ferra Yanuar

Abstract: The aim of this study are to demonstrate the application of the quantile regression technique to determine the indicators of the health status and to identify the characteristics of healthy and unhealthy individual. Quantile regression approach was applied to 530 health survey data of respondents from Hulu Langat, Malaysia. The data survey informs about some indicator variables that relate to socio-demographic status, lifestyle, mental health and value of health status of the respondents. It is assumed that employment level, education level, age-group, smoking habits, physical exercise, average working and sleeping in a day, stress level, happiness in life and social problems that she/he has have effect to the health status of related individual. All ten indicator variables are in ordered categorical type of data and health status value as the response is in continuous type. This study found that at the middle quantile, employment level, education level, age-group and smoking habits are significant indicators of health status. This study also identify the characteristics of healthy individuals who are at the upper quartile level of health are individuals working, educated individuals, young and non-smoking. Meanwhile, the characteristics of unhealthy individuals who are at the lower quartile level of health are highly educated and older than 30 years old.

Reference this Paper: Quantile Regression Approach to Determine The Indicator of Health Status by Ferra Yanuar published at: "Scientific Research Journal (Scirj), Volume I, Issue IV, November 2013 Edition, Page 17-23 ".

Search Terms: quantile regression, health status, healthy individual, unhealthy individual, ordered categorical.

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