Creating a model for assessing satisfaction with the quality of life: an econometric approach

Research Article
  • Sergey V. Kroshilin Institute of Socio-Economic Studies of Population of the FCTAS RAS; Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow, Moscow, Russia; Ryazan State Medical University, Ryazan, Russia krosh_sergey@mail.ru ORCID ID http://orcid.org/0000-0002-6070-1234
    Elibrary Author_id 664581
  • Elena I. Medvedeva Institute of Socio-Economic Studies of Population of the FCTAS RAS; Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow, Moscow, Russia e_lenam@mail.ru ORCID ID http://orcid.org/0000-0003-4200-1047
    Elibrary Author_id 381176
  • Aziza V. Yarasheva Institute of Socio-Economic Studies of Population of the FCTAS RAS, Moscow, Russia baktriana@rambler.ru ORCID ID http://orcid.org/0000-0002-6041-7700
    Elibrary Author_id 519466
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

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

Author Biographies

Sergey V. Kroshilin, Institute of Socio-Economic Studies of Population of the FCTAS RAS; Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow, Moscow, Russia; Ryazan State Medical University, Ryazan, Russia
Candidate of Technical Sciences, Leading Researcher, Institute of Socio-Economic Studies of Population of the FCTAS RAS; Researcher, Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow; Associate Professor, Ryazan State Medical University
Elena I. Medvedeva, Institute of Socio-Economic Studies of Population of the FCTAS RAS; Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow, Moscow, Russia
Doctor of Economics, Associate Professor, Leading Researcher, Institute of Socio-Economic Studies of Population of the FCTAS RAS; Researcher, Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow
Aziza V. Yarasheva, Institute of Socio-Economic Studies of Population of the FCTAS RAS, Moscow, Russia
Doctor of Economics, Full Professor, Head of Laboratory

References

1. Zakirova A. F. Udovletvoronnost’ trudom kak sostavlyayushchaya kachestva trudovoy zhizni [Job satisfaction as a component of the quality of working life]. Vestnik nauki [Bulletin of Science]. 2020. Vol. 2. No. 4 (25). P. 16–19. (in Russ.)

2. Aleksandrova O. A. Yarasheva A. V. Vliyaniye ekonomicheskikh ozhidaniy na finansovoye povedeniye rossiyskogo naseleniya [The impact of the economic expectations on financial behavior of the Russian population]. Voprosy statistiki [Statistical Issues]. 2016. No. 5. P. 70–79. (in Russ.)

3. Yarasheva A. V. Kachestvo zhizni naseleniya: problemy sotsiologicheskogo izmereniya [Quality of life of the population: issues of sociological measurement]. Ot kachestva zhizni — k kachestvu narodonaseleniya [From the Quality of Life to the Quality of Population]. Proceedings of the Conference within the framework of the MEF-2016. Ed. V. V. Lokosov. Moscow. 2017. P. 122–138. (in Russ.)

4. Shibalkov I. P., Nedospasova O. P., Pavlova I. A, Boikov V. A. Differentsiatsiya udovletvoronnosti kachestvom zhizni u pozhilykh lyudey v Rossii [Differentiation of satisfaction with the quality of life of the older generation in Russia]. Uspekhi gerontologii [Advances in Gerontology]. 2022. Vol. 35. No. 6. P. 900–910. (in Russ.)

5. Berendeeva A. B., Vorobyova O. S., Rudanova Yu. S. Analiz pokazateley i reytingov urovnya i kachestva zhizni naseleniya regionov [Analysis of indicators and ratings of level and quality of life of population of regions]. Vestnik Vladimirskogo gosudarstvennogo universiteta imeni A. G. i N. G. Stoletovykh. Seriya: Ekonomicheskiye nauki [Bulletin of Vladimir State University. Series: Economic Sciences]. 2020. No. 1(23). P. 95–108. (in Russ.)

6. Shabunova A. A., Dobrokhleb V. G., Medvedeva E. I., et. al. Uspeshnost’ sovremennogo cheloveka: teoretiko-metodologicheskiye aspekty issledovaniya [The successfulness of a modern individual: theoretical and methodological aspects of the study]. Ekonomicheskiye i sotsial’nyye peremeny: fakty, tendentsii, prognoz [Economic and Social Changes: Facts, Trends, Forecast]. 2019. Vol. 12. No. 6. P. 27–50. (in Russ.)

7. Shabunova A. A., Dobrokhleb V. G., Medvedeva E. I., et al. Uspeshnost’ v sovremennom obshchestve: itogi mezhstranovogo issledovaniya [Success in Modern Society: Results of a Cross-Country Research]. Vologda. Vologodskiy nauchnyy tsentr Rossiyskoy akademii nauk [Vologda Scientific Center RAS]. 2022. 253 p. (in Russ.)

8. Veprikova A. I. Usloviya truda i yego bezopasnost’ kak faktory urovnya i kachestva zhizni naseleniya [Working conditions and its safety as factors of the standards and quality of life of the population]. Sotsial’no-ekonomicheskoye upravleniye: teoriya i praktika [Socio-Economic Management: Theory and Practice]. 2013. No. 1(23). P. 130–132. (in Russ.)

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.)

11. Kroshilin S. V., Medvedeva E. I. Ekonometricheskoye issledovaniye na osnove mnogomernogo lineynogo modelirovaniya [Econometric Research Based on Multidimensional Linear Modeling]. Kolomna. Kolomenskiy gosudarstvennyy pedagogicheskiy institut [Kolomna State Pedagogical Institute]. 2006. 40 p. (in Russ.)

12. Kryshtanovsky A. O. Analiz sotsiologicheskikh dannykh s pomoshch’yu paketa SPSS [Analysis of Sociological Data Using the SPSS Package]. Moscow. VShE [Higher School of Economics]. 2006. P. 78–81. (in Russ.)

13. Patsiorkovsky V. V., Patsiorkovskaya V. V. SPSS dlya sotsiologov [SPSS for Sociologists]. Moscow. ISEPN RAN [Institute of Socio-Economic Studies RAS]. 2005. 432 p. (in Russ.)

14. Taganrogskiye issledovaniya: polveka spustya [Taganrog Studies: Half a Century Later]. Eds. N. M. Rimashevskaya, V. V. Lokosov. Moscow. 2017. 288 p. (in Russ.)

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