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

Şeyda Ünver

Makale detayları

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

Yazarlar:

Şeyda Ünver

Yayıncı:

Bandirma Onyedi Eylul University

Ana Başlıklar:

Aile ve Hanehalkı Çalışmaları

Dergi:

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

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001343658

pISSN:

2148-029X

Anahtar kelimeler:

Özet:

 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.

Makale detayları

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

Yazarlar:

Şeyda Ünver

Yayıncı:

Bandirma Onyedi Eylul University

Ana Başlıklar:

Aile ve Hanehalkı Çalışmaları

Dergi:

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

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001343658

pISSN:

2148-029X

Absenteeism

Count Data

Zero- Inflated Negative Binomial Regression

Sayı

Makale detayları

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

Yazarlar: Şeyda Ünver

Yayıncı: Bandirma Onyedi Eylul University

Ana Başlıklar: Aile ve Hanehalkı Çalışmaları

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

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001343658

pISSN: 2148-029X

Absenteeism

Count Data

Zero- Inflated Negative Binomial Regression

Sayı

Yazarlar:

Şeyda Ünver

Yayıncı:

Bandirma Onyedi Eylul University

Ana Başlıklar:

Aile ve Hanehalkı Çalışmaları

Dergi:

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

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001343658

pISSN:

2148-029X