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

Şeyda Ünver

Article Details

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

Authors:

Şeyda Ünver

Publisher:

Bandirma Onyedi Eylul University

Main Topics:

Aile ve Hanehalkı Çalışmaları

Journal:

Yönetim ve Ekonomi Araştırmaları Dergisi Vol.23 Issue 1, pp.177-195

Document Type:

Article

Publication Date:

3/2025

Document Language:

English

Document ID (Org No.):

2001343658

pISSN:

2148-029X

Keywords:

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 lastingexpected 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.

 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 lastingexpected 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.

 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 lastingexpected 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.

 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 lastingexpected 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.

Article Details

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

Authors:

Şeyda Ünver

Publisher:

Bandirma Onyedi Eylul University

Main Topics:

Aile ve Hanehalkı Çalışmaları

Journal:

Yönetim ve Ekonomi Araştırmaları Dergisi Vol.23 Issue 1, pp.177-195

Document Type:

Article

Publication Date:

3/2025

Document Language:

English

Document ID (Org No.):

2001343658

pISSN:

2148-029X

Absenteeism

Count Data

Zero- Inflated Negative Binomial Regression

Issues

Article Details

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

Authors: Şeyda Ünver

Publisher: Bandirma Onyedi Eylul University

Main Topics: Aile ve Hanehalkı Çalışmaları

Journal: Yönetim ve Ekonomi Araştırmaları Dergisi Vol.23 Issue 1, pp.177-195

Document Type: Article

Publication Date: 3/2025

Document Language: English

Document ID (Org No.): 2001343658

pISSN: 2148-029X

Absenteeism

Count Data

Zero- Inflated Negative Binomial Regression

Issues

Authors:

Şeyda Ünver

Publisher:

Bandirma Onyedi Eylul University

Main Topics:

Aile ve Hanehalkı Çalışmaları

Journal:

Yönetim ve Ekonomi Araştırmaları Dergisi Vol.23 Issue 1, pp.177-195

Document Type:

Article

Publication Date:

3/2025

Document Language:

English

Document ID (Org No.):

2001343658

pISSN:

2148-029X