DOI: 10.32609/j.ruje.10.125107

Authors: Artur R. Nagapetyan, Tatiana I. Pavlova, Jun Li

Abstract: The issue of equality of opportunity is crucial in contemporary society, often examined in relation to income. Previous research has demonstrated the uncertain effect of income on mortality due to the presence of other factors. To empirically assess the difference in the effect of income on mortality rates between more developed and less developed provinces in China, we modeled mortality rates based on the instrumental variables method and the generalized method of moments. The study results indicate that a 1% increase in income reduces mortality by over 2%. The results confirm the hypothesis that income has a stronger negative impact on mortality in more socially developed provinces of the People’s Republic of China compared to less socially developed areas. This difference is statistically significant at the 1% level and is at least 10%. The obtained results and their development can significantly impact the implementation of effective political governance measures aimed at reducing mortality in certain territories and mortality in general.

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DOI: 10.32609/j.ruje.7.76219

Authors: Evguenii A. Zazdravnykh, Andrey V. Aistov, Ekaterina A. Aleksandrova

Abstract: In this study we estimate the income elasticity of spending on different healthcare services and medication in Russia, taking into account the non-linear relationship between income level and expenditure. We employ the RLMS-HSE data, 2006–2017, to estimate the elasticities at household level. Our findings show these elasticities have not changed over the years. Additionally, we show that low-income and high-income households demon­strate different levels of elasticities, which is consistent with the fact that healthcare is less affordable for the poor. The study confirms that healthcare and medication are close to luxury level for low-income households and drugs are almost income inelastic for rich households. The results could help to reveal which services are the least affordable for the population.

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