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A New Method for Inducing a Depression-Like Behavior in Rats
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Labour market status and depression in Russia: A longitudinal study, 2011-2017
Maria Kaneva1, Christopher J Gerry2
1International Laboratory for Economics of Healthcare and Its Reforms, Gaidar Institute for Economic Policy, Russia.
Scandinavian Journal of Public Health
|July 2, 2021
Summary
Unemployment and labor market inactivity predict depression in Russia. However, mental distress appears to cause unemployment, not the reverse, indicating a significant selection effect in this relationship.
Area of Science:
- Socioeconomic impacts of mental health
- Labor economics
- Public health in Russia
Background:
- The relationship between employment status and mental health is complex.
- Previous research has not longitudinally examined this link in Russia.
- Understanding causality is crucial for effective policy interventions.
Purpose of the Study:
- To longitudinally investigate the relationship between depression and labor market participation in Russia.
- To identify the impact of unemployment on mental distress.
- To explore the causal mechanisms underlying this association.
Main Methods:
- Utilized data from the Russia Longitudinal Monitoring Survey - Higher School of Economics (2011-2017).
- Employed random-effects regression models to analyze employment conditions and mental distress.
- Differentiated between selection effects and direct causation.
Main Results:
- Unemployment and labor market inactivity are significant predictors of depression and nervous breakdown.
- The study found that mental distress is a stronger predictor of unemployment than vice versa.
- Causality predominantly runs from mental distress to adverse labor market outcomes.
Conclusions:
- Findings suggest a dominant selection effect where mental distress influences employment status.
- Anti-stigma campaigns targeting employers and the public are recommended.
- Challenging perceptions of mental disorders may improve mental healthcare and reduce unemployment in Russia.
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