Investigation of Factors Affecting General Mortality in Some Countries by Quantile Regression Method Alternative to Least Squares Method (LSM)

This study was conducted to find out the factor or factors affecting the overall mortality rates in a total of 31 countries, including 28 European Union countries. The data set consisting of 2014 year data was analyzed using the Eviews 9 program. After the descriptive statistics and covariance matrix were determined, the regression model was established by the LSM. It has been observed that this model does not provide the assumption that it does not contain outliers, which is one of the regression assumptions. Therefore, 3 Quantile Regression models were established by using the values of 0.25, 0.50 and 0.75. Interpretations were made according to these regression equations. Factors affecting the General Mortality (OLM) are as follows. In the quantile model of 0.25; the Ratio of People With Asthma (RA) has a negative effect and the Ratio of People With Blood Pressure (TAN) has a positive effect. In the 0.50 quantiles model; only the TAN variable has a positive effect. In the last model with a value of 0.75 quantiles, again the TAN variable has a positive effect. The general result according to the models established for 3 quantile values is that the AST variable has a negative (decreasing) effect on General Mortality (OLM) while TAN variable has a positive (increasing) effect.

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