Value of statistical life in Russia: Estimates based on panel microdata for 2010–2020

Zubova, Ekaterina

doi:10.22394/1993-7601-2022-65-45-64

Cited by 2 publications

(3 citation statements)

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“…The model with fixed effects is significantly better suited for solving the problem of accounting for unobservable characteristics, primarily labour productivity, since this parameter can correlate both with wages and with the choice of employment in a particular industry. Nevertheless, as it was shown in (Zubova 2022b), the use of a model with fixed effects leads to that most observations are not actually considered in the calculations, since the fatality risk variation is important for determining the coefficient for the risk variable. Basically, this coefficient is determined by "marginal" individuals who have moved from a more dangerous industry to a less dangerous one within the given period, or vice versa, since in other cases the variation of the risk variable over time is too small.…”

Section: Methodsmentioning

confidence: 99%

“…Their estimates of the value of life are in the range from 51.3 to 61.1 million rubles. This article elaborates two previous studies by Ekaterina Zubova (2022aZubova ( , 2022b, in which the first estimates of the value of life in Russia were proposed based on the revealed preferences of people regarding compensation for the fatality risk at work. In the arti-cle (Zubova 2022a), these estimates were obtained based on the analysis of a cross-sectional sample for 2018 and regarding differentiation of risks across sectors of the economy and professions.…”

Section: Introductionmentioning

confidence: 90%

“…In the arti-cle (Zubova 2022a), these estimates were obtained based on the analysis of a cross-sectional sample for 2018 and regarding differentiation of risks across sectors of the economy and professions. The following paper (Zubova 2022b) presents the methodology discussion and provides refined estimates on panel data from 2010 to 2020, which enables accounting for unobservable characteristics affecting wage variation, such as differences in employee productivity.…”

Section: Introductionmentioning

confidence: 99%

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Does the value of human life in Russia increase with age and higher levels of education?

Zubova¹

2022

POPECON

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Estimates of the value of life, reflecting society’s preferences regarding the choice between safety and money, are key indicators for state management in areas such as healthcare, transport, demographic policy, and environmental protection. This article is a logical continuation of the previous research presenting the initial estimates of the value of life in Russia based on analysis of the revealed preferences about employment in industries associated with high fatality risks. In addition to the previous results, this study provides a new theoretical model explaining the logic of choosing employment considering fatality risks and offers estimates of the value of life across educational and age groups. The empirical part of the paper is based on the RLMS HSE data for the period from 2010 to 2020; the author uses panel regression with random effects. The analysis shows that the average value of life in Russia is 287 million rubles, varying from 241 to 450 million rubles depending on levels of education achieved, and considering age value of life ranges from 329 to 349 million rubles (in those groups for which estimates are significant). Possible explanations for this variability are related to the human capital factor, which changes with age and education level. At the same time, the impact of human capital on the value of life can be both positive and negative.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Does the value of human life in Russia increase with age and higher levels of education?

Zubova¹

2022

POPECON

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The cost of demographic losses due to premature death of the population from cerebrovascular diseases

Velm

Шпрах

2023

Kazan Med J

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Background. Losses in the labor and demographic potential of society concerning mortality due to cardiovascular pathology are significant, accounting for more than a third of all deaths of the population. The study of the socio-economic damage caused by the main nosological groups coronary heart disease and cerebrovascular diseases, is an urgent task. Aim. To determine the cost of demographic losses due to premature mortality from cerebrovascular diseases in the Irkutsk region. Material and methods. The subject of the study was deaths from cerebrovascular diseases in the population of the Irkutsk region for the period 20152019. A continuous method of statistical observation was used. The assessment of the value of the persons average life was carried out by collecting statistical information from special accounting forms. Demographic losses were determined by calculating the indicator of years of potential life lost (unlived years). Economic losses were determined by calculating the cost of years lost as a result of premature death from cerebrovascular disease. Results. As a result of the study, it was found that the cost of one year of life for men was higher than for women. The differences were due to the high difference in the average life expectancy of the male and female population. Demographic losses due to premature mortality from cerebrovascular diseases were increasing in dynamics for the male population, while decreasing for the female population. The age range of maximum losses from mortality for the male population was in the age group of 6064 years, for the female population 7074 years. The dynamics of economic losses for the region in 2015 amounted to 45.9 billion rubles, in 2019 48.7 billion rubles. The cost of one year of average life was significantly affected by the extremely high gap in the average life expectancy of the male and female population of the region. Conclusion. The indicator of demographic losses in the Irkutsk region due to the unlived years of the population associated with mortality from cerebrovascular diseases was 12,026.9 person-years in 2015, and 11,129.3 person-years in 2019.

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Value of statistical life in Russia: Estimates based on panel microdata for 2010–2020

Cited by 2 publications

References 0 publications

Does the value of human life in Russia increase with age and higher levels of education?

Does the value of human life in Russia increase with age and higher levels of education?

The cost of demographic losses due to premature death of the population from cerebrovascular diseases

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