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Do depressive symptoms influence nonattendance at work? A semiparametric approach
Patricia Moreno-Mencia1, Ana Fernández-Sainz2, Juan M Rodríguez-Póo3
1Universidad Internacional de la Rioja, Av. La Paz, 136, Logrońo, Spain.
International Journal of Health Economics and Management
|March 4, 2025
Summary
Depression significantly increases work absenteeism, causing an average loss of 12 working days annually for affected employees. This study quantizes the impact of depressive symptoms on labor participation.
Area of Science:
- Occupational Health
- Mental Health Economics
- Labor Economics
Background:
- Depression is a prevalent mental health disorder affecting daily functioning, including work performance.
- Poor health, including depression, often necessitates time away from work due to medical needs.
- Labor absenteeism poses significant challenges for both individuals and the economy.
Purpose of the Study:
- To estimate the impact of depressive symptoms on labor absenteeism.
- To analyze other demographic and health factors influencing absenteeism.
- To develop a semiparametric structural model that avoids estimator inconsistency.
Main Methods:
- Utilized microdata from the European Health Survey in Spain.
- Employed a semiparametric structural model to analyze labor absenteeism.
- Accounted for potential sample selection and endogenous regressor issues without strong assumptions.
Main Results:
- Depressive symptoms were found to have a significant negative effect on working time, increasing absenteeism.
- Depressed workers lose an average of 12 more workdays per year compared to non-depressed individuals.
- Obesity and older age were associated with higher absenteeism, while male gender, self-employment, and non-college education correlated with lower absenteeism.
Conclusions:
- Depressive symptoms are a key determinant of increased labor absenteeism.
- Interventions addressing depression in the workforce could reduce significant economic losses.
- Factors such as age, obesity, gender, employment status, and education level also play a role in absenteeism patterns.
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