Beta Regression for the Indicator Values of Well-Being Index For Provinces in Turkey

Year 2017, , 101 - 111, 09.10.2017

Hande Ünlü , Serpil Aktaş

https://doi.org/10.30931/jetas.321165

Cited By: 13

Abstract

Beta regression assumes that the dependent variable follows a beta distribution and that its mean is related to a set of exploratory variables through a linear predictor with unknown coefficients and a link function. The model also includes a dispersion parameter. This paper describes the beta regression model along with its properties. The application of the model is made on well-being index data of Turkey 2015, which comprise the dimensions of housing, work, income and wealth, health, education, environment, safety, civic participation and access to infrastructure services and social life. As the life satisfaction index lies between 0 and 1 and the values close to 1 refers to a better level of life. Beta regression fits the data well and the regression parameters are well interpreted in terms of the mean of the response variable.

Keywords

beta distribution, beta regression, dispersion parameter

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