Employment in the North of Russia: Microdata Analysis

Giltman, Marina

doi:10.31737/2221-2264-2017-35-3-5

Cited by 3 publications

(1 citation statement)

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“…There is a wide range of the applications of these models in analytic studies; in some cases, these tools proved to be sound as an efficient means of predictive case estimates [21,22]. These models were also used to investigate employment and unemployment [23].…”

Section: Methods Of Researchmentioning

confidence: 99%

Econometric Analysis of Informal Employment in the Russian Labor Market

Gadelshina¹,

Aksyanova²,

Aleksandrovskaya³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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Informal employment is a problem for many countries. On the one hand, the state receives lower-than-usual tax refunds, and on the other hand, it leads to social insecurity of workers. The paper investigates the problem of informal employment in the regions of the Russian Federation on the basis of the data taken from the Russian Federal State Statistics Service (Rosstat in Russ.), also from the monitoring of the economic situation in Russia and the population health at the Higher school of Economics. The research of the informal employment structure in different Russian regions has been conducted, namely data on gender, age groups and types of economic activity have been compared. Binary choice models were used to identify factors that influence an individual's inclination to the informal employment. The constructed models have revealed the dependence of this factor on sex, the level of education and age, alongside with the place of residence and marital status. The proposed tools can be used in the development of the regional development strategies for obtaining projections of the employment structure in the regional labor market.

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Section: Methods Of Researchmentioning

confidence: 99%

Econometric Analysis of Informal Employment in the Russian Labor Market

Gadelshina¹,

Aksyanova²,

Aleksandrovskaya³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

View full text Add to dashboard Cite

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Need Analysis of College-Educated Labor Resources in the Russian Arctic

Зайков

Kondratov

Kuprikov

et al. 2019

IOP Conf. Ser.: Mater. Sci. Eng.

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Employment of Youth and Older People in the Labor Market of the Tyumen Region: Analysis Based on Microdata

Shmunk

Giltman

2021

TSU Herald. Soc Econ Law Res

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The unfavorable demographic trends of an aging population are leading to a reduction in the size of the labor force and its structural changes. Young people and older people are the most vulnerable applicants for employment in the labor market. The economic behavior of young people and older people is still insufficiently studied at the regional level. This study analyzes the situation within the region. For instance, the Tyumen region without autonomous okrugs was selected, as a region characterized by a stable situation on the labor market with a fairly diversified structure of the economy (therefore, the study did not include the northern autonomous okrugs). Microdata of a sample survey of the labor force of the Federal State Statistics Service were used as a basis for the analysis. Using binary logit models, the probabilities of being employed in the Tyumen region at the age of 20 29 and 55-64 are estimated, taking into account the type of settlement and the individual characteristics of the employee. Estimates are given for the Tyumen region and Russia for 2010, 2015 and 2019.The results showed that the greatest contribution to the probability of employment is made by education (higher, secondary and primary vocational) and young age, which is especially typical for the Tyumen region. Men are more likely to be employed both in the region and in the rest of the country than women. Living in a city in 2010 and 2015 reduced the likelihood of employment in the Tyumen region, in 2019 it increased. For the rest of Russia, the marginal effects (slope coefficients) for the variable of urban residence in all years were small but positive.

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Employment in the North of Russia: Microdata Analysis

Cited by 3 publications

References 0 publications

Econometric Analysis of Informal Employment in the Russian Labor Market

Econometric Analysis of Informal Employment in the Russian Labor Market

Need Analysis of College-Educated Labor Resources in the Russian Arctic

Employment of Youth and Older People in the Labor Market of the Tyumen Region: Analysis Based on Microdata

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