Dealing with heteroskedasticity within the modeling of the quality  of life of older people

Katarzyna  Jabłońska

doi:https://doi.org/10.21307/stattrans-2018-024

Dealing with heteroskedasticity within the modeling of the quality of life of older people

Katarzyna Jabłońska Department of Medical Sociology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Kopernika 7a, 31-034 Krakow, Poland Statistics in Transition new series, vol. 19, 2018, 3, pages: 433-452 Published online: 3 September 2018 https://doi.org/10.21307/stattrans-2018-024

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ABSTRACT

Using the estimation method of ordinary least squares leads to unreliable results in the case of heteroskedastic linear regression model. Other estimation methods are described, including weighted least squares, division of the sample and heteroskedasticity-consistent covariance matrix estimators, all of which can give estimators with better properties than ordinary least squares. The methods are presented giving the example of modelling quality of life of older people, based on a data set from the first wave of the COURAGE – Poland study. The comparison of estimators and their practical application may teach how to choose methodologically the most appropriate estimation tool after detection of heteroscedasticity

KEYWORDS

heteroskedasticity, linear regression, HC-estimators, quality of life

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