The Application of Quasi-Experimental Approaches to the Analysis of the Relationship Between Employment and Health

Authors

  • Maria Kaneva Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia https://orcid.org/0000-0002-9540-2592

DOI:

https://doi.org/10.2298/PAN230130018K

Keywords:

Unemployment , Selection effect , Propensity score matching , Difference-in-differences estimator , Russia

Abstract

This study is the first to use quasi-experimental approaches to analyze the employment–health relationship in Russia. We employ propensity score matching to assess the impact on self-reported health of being employed or unemployed during the period 2010-2018. Using a difference-in-differences estimator, we also explore the effect of re-employment on physical health. Controlling for selection bias, we find a negative impact of unemployment on physical health. We also confirm that being employed leads to better self-reported health than being unemployed. Part of the effect is related to improved individual mental health. Furthermore, the difference-in-differences estimator of the re-employment effect shows that finding a job after three years of not working increases self-reported health. The results have important policy implications. The government should actively promote employment and initiate information campaigns to promote free health checkups for the unemployed. In Russia, where the state bears the cost of healthcare, these policies will eventually allow the government to save money on medical treatment. 

JEL: C21, I10, I12.

Downloads

Download data is not yet available.

Downloads

Published

2024-09-13

How to Cite

Kaneva, M. (2024). The Application of Quasi-Experimental Approaches to the Analysis of the Relationship Between Employment and Health. Panoeconomicus, 1–27. https://doi.org/10.2298/PAN230130018K

Issue

Section

Original scientific paper