INVESTIGATING FACTORS AFFECTING ABSENTEEISM DUE TO HEALTH PROBLEMS USING COUNT DATA MODELS

Abstract

This study aims to determine the factors affecting the number of days individuals are absent from work due to health problems in the last 12 months by using the Poisson Regression Model, Negative Binomial Regression Model, Zero-Inflated Poisson Regression Model, and Zero-Inflated Negative Binomial Regression Model using the micro data sets of the Turkey Health Survey conducted by the Turkish Statistical Institute in 2022. The model results indicate that the variables of age, marital status, education level, general health status, occupation, receiving psycho-social support health services from primary health care institutions, illness lasting/expected to last 6 months, and hypertension in the last 12 months are significant. It was found that women were absent from work more days than men, that the number of days individuals were absent from work decreased as their age increased, and that individuals were absent from work more as their general health worsened.