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Educational Programme
Final Grade
Year of Graduation
Victoria Galych
Heart Diseases and their Influence on Work Participation
(Bachelor’s programme)

To investigate the relationships and its value between different heart diseases and participation in labor force of Russian from 18 to 65 years old.


RLMS-HSE data from 2000 to 2016 were used. Heart diseases and labor force participation determinants such as presence/absence of any heart issues and number of hours worked by particular individual per week/month were chosen for estimation.

Models of binary choice and pooled OLS regression with individual fixed effects were used for estimation. The DiD approach was also used to control for differences between treatment and control groups in two-time period.


According to the estimated results we conclude that heart events such as stroke reduce the amount of time, spending by individual on work. In all model specifications the effect surprisingly is non-linear with respect to age and more even stronger for young adults, while middle-aged and elderly people are less influenced by negative effect from heart diseases.

The effect from heart attack have a positive impact almost in all specifications, however it is not significant for young adults and middle-aged people and reduce the working capabilities only for people who are in 51-65+ age group. Moreover, people in this age group spend less amount of time by work due to chronic heart conditions.

DiD approach shows that negative effect from heart conditions is stronger for men. For both men and women, the sustainable negative effect is observed in the short-run.


Heart diseases play a significant role in labor force participation of individuals in Russia, decreasing the working opportunities. From a policy perspective, preventive programs aimed to health education, increasing the awareness about main risk-factors and symptoms, leading to the common heart events, could help to increase early treatment of such diseases and in the result to improve economic outcomes, for instance, by enhancing the number of works, spending by work.

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