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331.2 332.1

QUANTILE ANALYSIS OF THE HETEROGENEITY OF THE IMPACT OF SOCIOECONOMIC FACTORS ON WAGES IN THE REGIONS OF THE RUSSIAN FEDERATION

Published in Management of the Personnel and Intellectual Resources in Russia · Pages 31–37 · Rubric: Issue subject
DOI: https://doi.org/10.12737/2305-7807-2026-15-3-31-37
Received: 20.02.2026 Accepted: 19.03.2026 Published: 30.06.2026
Wage differentiation and the asymmetry of income distribution have remained among the most controversial topics in socioeconomic research for several decades, demonstrating their scientific significance and the importance of assessing the heterogeneity of the impact of economic and social determinants of regional economic development on wages. Therefore, the aim of this article is to analyze the heterogeneity of the impact of socioeconomic factors on wages in the regions. The objectives are to assess the degree of influence of socioeconomic factors in regional development on wages and to study the heterogeneity of the impact of these factors on different levels of wage distribution between regions. The object of this study is regional income differentiation, and the subject is the impact of socioeconomic factors on real wages. The research methods used include panel data analysis, ordinary least squares (OLS), and quantile regression. The study is based on statistical data for regions of the Russian Federation for the period 2013–2023. The logarithm of gross regional product (GRP) per capita, the consumer price index, and the unemployment rate are considered as explanatory variables. The study revealed that the influence of socioeconomic factors on wages varies significantly across quantiles. Growth in GRP per capita has a positive impact on wages, with the effect increasing at the upper quantiles, indicating a stronger impact of economic development on upper wages. The obtained results confirm the heterogeneous impact of socioeconomic factors on regional wages. Quantile analysis revealed that average estimates obtained using the OLS method conceal significant differences between low- and high-income regions, highlighting the need to apply a quantile approach to analyzing asymmetric income distributions and providing a more substantiated empirical basis for the formulation of regional economic policy aimed at reducing inequality and ensuring sustainable wage growth.
regional economic development, socio-economic factors, unemployment rate, income distribution, wage level, interregional inequality
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1. Belehova G. Regional'nye disproporcii v oplate truda: social'no-ekonomicheskiy analiz na primere severo-zapadnogo federal'nogo okruga // Obschestvo i ekonomika. - 2025. - №6. - C. 19-33. doi:https://doi.org/10.31857/S0207367625060026

2. Lysenko I. V. Analiz tendenciy formirovaniya usloviy dostoynogo truda v rossiyskoy ekonomike //Upravlenie personalom i intellektual'nymi resursami v Rossii. – 2023. – T. 12. – №. 4. – S. 27-31. DOI 10 .12737/2305-7807-2023-12-4-27-31 DOI: https://doi.org/10.12737/2305-7807-2023-12-4-27-31

3. Orlova I. V., Filonova E. S. Analiz i prognozirovanie nominal'noy zarabotnoy platy naseleniya Rossiyskoy Federacii s uchetom ee regional'noy differenciacii //Fundamental'nye issledovaniya. – 2021. – №. 5. – S. 67-74. DOI: https://doi.org/10.17513/fr.43040

4. Ostapenko V. A., Kazanceva N. V. Ocenka privlekatel'nosti regionov Rossii dlya rabochey sily //Upravlenie personalom i intellektual'nymi resursami v Rossii. – 2025. – T. 14. – №. 1. – S. 39-44. DOI: https://doi.org/10.12737/2305-7807-2025-14-1-39-44

5. Böhm M. J., von Gaudecker H. M., Schran F. Occupation growth, skill prices, and wage inequality //Journal of Labor Economics. – 2024. – T. 42. – №. 1. – S. 201-243. - https://www.journals.uchicago.edu/doi/abs/10.1086/722084

6. Burke F., Walsh P. P. Regional earning disparities and the speed of transition: evidence from Poland 1994–1997 //IZA Journal of Labor & Development. – 2012. – T. 1. – №. 1. – S. 4. DOI: https://doi.org/10.1186/2193-9020-1-4

7. Cook C. et al. The gender earnings gap in the gig economy: Evidence from over a million rideshare drivers //The Review of Economic Studies. – 2021. – T. 88. – №. 5. – S. 2210-2238. - https://doi.org/10.1093/restud/rdaa081

8. Formánek T., Sokol O. Location effects: Geo-spatial and socio-demographic determinants of sales dynamics in brick-and-mortar retail stores //Journal of Retailing and Consumer Services. – 2022. – T. 66. – S. 102902. - https://doi.org/10.1016/j.jretconser.2021.102902

9. Ganong P., Shoag D. Why has regional income convergence in the US declined? //Journal of Urban Economics. – 2017. – T. 102. – S. 76-90. - https://doi.org/10.1016/j.jue.2017.07.002

10. Garofalo A. et al. Employee compensation in European regions: A spatial analysis of short-and long-term effects //Structural Change and Economic Dynamics. – 2025. – T. 74. – S. 303-314. - https://doi.org/10.1016/j.strueco.2025.03.019

11. Iammarino S., Rodriguez-Pose A., Storper M. Regional inequality in Europe: evidence, theory and policy implications //Journal of economic geography. – 2019. – T. 19. – №. 2. – S. 273-298. https://doi.org/10.1093/jeg/lby021

12. Kemeny T., Storper M. The fall and rise of interregional inequality: Explaining shifts from convergence to divergence //Scienze Regionali. – 2020. – T. 19. – №. 2. – S. 175-198. - DOI:https://doi.org/10.14650/97084

13. Osman T., Kemeny T. Local job multipliers revisited //Journal of Regional Science. – 2022. – T. 62. – №. 1. – S. 150-170. - https://doi.org/10.1111/jors.12561

14. Rosés J., Wolf N. The return of regional inequality: Europe from 1900 to today //VOX, CEPR Policy Portal. – 2018. - https://creditwritedowns.com/2018/03/return-of-regional-inequality-europe-1900-2018.html

15. Shen C. et al. The relationship between housing price, teacher salary improvement, and sustainable regional economic development //Land. – 2022. – T. 11. – №. 12. – S. 2190. - https://doi.org/10.3390/land11122190

16. Valdez R. I., García-Fernández F. The distribution of wage inequality across municipalities in Mexico: a spatial quantile regres-sion approach //Equilibrium. Quarterly Journal of Economics and Economic Policy. – 2022. – T. 17. – №. 3. – S. 669-697. DOI: https://doi.org/10.24136/eq.2022.023

17. Zolfaghari M., Kabiri M., Saadatmanesh H. Impact of socio-economic infrastructure investments on income inequality in Iran //Journal of Policy Modeling. – 2020. – T. 42. – №. 5. – S. 1146-1168. - https://doi.org/10.1016/j.jpolmod.2020.02.004