Creating a model for assessing satisfaction with the quality of life: an econometric approach
Research Article
How to Cite
Kroshilin S.V., Medvedeva E.I., Yarasheva A.V. Creating a model for assessing satisfaction with the quality of life: an econometric approach. Population. 2023. Vol. 26. No. 4. P. 87-98. DOI: https://doi.org/10.19181/population.2023.26.4.8 (in Russ.).
Abstract
The purpose of this study was to apply the author’s approach to assessing satisfaction with the quality of life of the population based on construction of a mathematical model. Modeling is carried out on the basis of econometric approaches using methods of weighted estimates and correlation analysis to take into account the impact of each of the parameters selected for the integral indicator of satisfaction with the quality of life of the population on the final assessment. The object of the study is population of a typical Russian city, the subject is self-assessment of the quality of life by the population. The empirical basis of the study was the data from the sociological study Taganrog-2014. The uniqueness of this study that it was implemented within the longitudinal project carried out by ISESP RAS since 1967, that it makes it possible to study socio-economic indicators characterizing the life of the population of one city in dynamics. Calculation of the integral indicator of satisfaction with the quality of life of the population showed that, taking into account the selected 7 indicators of satisfaction (Income, Work, Food, Housing, Health, Education, Marital status) and the calculated coefficients of paired correlation, it made 4.84 (on a ten-point scale). The model was tested and its adequacy was verified on the basis of several samples in the category of «Main occupation» (the integral indicator for employed people was 4.88, for working pensioners — 4.45, and for entrepreneurs — 5.02). The presented model is universal, since when constructing an integrated indicator, any number of parameters can be used, which the researcher wishes to analyze when calculating indicators of the quality of life of the population. The results obtained have both theoretical and practical significance for scientists, researchers and specialists engaged in assessing the quality of life of the population, as well as for government structures involved in solving social and economic issues.
Keywords:
quality of life of the population, satisfaction assessment model, econometric approach, income level, nutrition quality, housing conditions
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9. Medvedeva E. I., Kroshilin S. V. Novyye vyzovy «uspeshnym lyudyam»: trendy rossiyskikh realiy [New challenges for «successful people»: trends of Russian realities]. Regional’nyye problemy preobrazovaniya ekonomiki [Regional Problems of Economic Transformation]. 2023. No. 4(150). P. 229–237. (in Russ.)
10. Medvedeva E. I., Kroshilin S. V. Ekonomicheskaya uspeshnost’: determinanty i tendentsii [Economic success: determinants and trends]. Novoye industrial’noye obshchestvo vtorogo pokoleniya (NIO.2): problemy, faktory i perspektivy razvitiya v sovremennoy geoekonomicheskoy real’nosti [New Industrial Society of the Second Generation (NIS.2): Problems, Factors and Prospects for Development in Modern Geo-Economic Reality]. Proceedings of the VII St. Petersburg Economic Congress (SPEC-2022). Moscow. Institut novogo industrial’nogo razvitiya imeni S. Yu. Vitte [Institute of New Industrial Development]. 2022. P. 529–538. (in Russ.)
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15. Rimashevskaya N. M., Medvedeva E. I., Kroshilin S. V. Spetsifika informatsionnoy bazy proyekta «TAGANROG-2014» [Specifics of the information base of the Taganrog-2014 project]. Narodonaselenie [Population]. 2016. No. 1 (71). P. 4–12. (in Russ.)
Article
Received: 04.07.2023
Accepted: 11.12.2023
Citation Formats
Other cite formats:
APA
Kroshilin, S. V., Medvedeva, E. I., & Yarasheva, A. V. (2023). Creating a model for assessing satisfaction with the quality of life: an econometric approach. Population, 26(4), 87-98. https://doi.org/10.19181/population.2023.26.4.8
Section
QUALITY AND CONDITIONS OF LIFE OF POPULATION
