Factors affecting the decision about having a child and the number of children by women in Russia

Research Article
  • Irina V. Filimonova Institute of Economics and Organization of Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University, Novosibirsk, Russia filimonovaiv@list.ru ORCID ID http://orcid.org/0000-0003-4447-6425
    Elibrary Author_id 461478
  • Anastasia V. Ivershin Novosibirsk State University, Novosibirsk, Russia a.ivershin@g.nsu.ru ORCID ID http://orcid.org/0000-0003-1289-2467
  • Anna V. Komarova Institute of Economics and Organization of Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University, Novosibirsk, Russia a.komarova@g.nsu.ru ORCID ID http://orcid.org/0000-0002-5844-1648
    Elibrary Author_id 748266
  • Olga I. Krivosheeva Novosibirsk State University, Novosibirsk, Russia o.krivosheeva@g.nsu.ru
Acknowledgments
The work was carried out according to the research plan of the Institute of Economics and Industrial Engineering of the Siberian Branch RAS, project 5.6.6.4. (0260-2021-0008) «Methods and models for substantiating the strategy for development of the Russian economy in the context of a changing macroeconomic reality».
How to Cite
Filimonova I.V., Ivershin A.V., Komarova A.V., Krivosheeva O.I. Factors affecting the decision about having a child and the number of children by women in Russia. Population. 2023. Vol. 26. No. 1. P. 55-69. DOI: https://doi.org/10.19181/population.2023.26.1.5 (in Russ.).

Abstract

Birth rate has a special place among the demographic factors determining the growth of population and the pace of the country's economic development. Solution to the problem of proper fertility in Russia is in building a powerful state demographic policy based on strengthening the key determinants of the reproductive process. The work is devoted to identifying the determinants of making a decision about the birth of a child in Russian families, understanding of which will allow substantiating the ways to improve the effectiveness of the demographic policy to stimulate the birth rate. To study fertility factors, two econometric models were built: a logistic regression for dependent variable of having a child during the year and an ordinal logistic regression for the number of children. The models took into account the problem of endogeneity — there was used instrumental variables method. The main data source was the RLMS HSE statistical database. The primary analysis of the data showed that in Russia the transition to European family type continues: there is an increase in the age at which women have children, and extramarital unions are spreading. As a result of the regression analysis, it was found out that the probability of having a child during the year is influenced primarily by personal and socio-economic factors, as well as working conditions. The number of children a woman has is affected by all types of factors, in particular— socio-economic factors and working conditions. Families that are not sure of their future financial stability, including their living conditions, are less likely to have a large number of children. The paper gives recommendations for assessing the effectiveness of the state demographic policy in Russia.
Keywords:
fertility, fertility factors, demographic policy, reproductive behavior

Author Biographies

Irina V. Filimonova, Institute of Economics and Organization of Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University, Novosibirsk, Russia
Doctor of Economics, Senior Researcher, Institute of Economics and Organization of Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Head of Chair, Novosibirsk State University
Anastasia V. Ivershin, Novosibirsk State University, Novosibirsk, Russia
graduate student
Anna V. Komarova, Institute of Economics and Organization of Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University, Novosibirsk, Russia
Candidate of Economics, Senior Researcher, Institute of Economics and Organization of Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Associate Professor, Novosibirsk State University
Olga I. Krivosheeva, Novosibirsk State University, Novosibirsk, Russia
specialist

References

1. Wang H. et. al. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. The Lancet. 2020. No. 10258. P. 1160-1203. DOI: 10.1016/S0140-6736(20)30977-6

2. Sobotka T. What's special about Russia's fertility and reproduction? A comparative European perspective. Demographic Trends in Russia. Moscow. Higher School of Economics, 2019. Available at: https://demogr.hse.ru/data/2019/12/10/1523705288/Sobotka_Fertility%20reproduction%20Russia%20and%20Europe_Nov2019.pdf (Accessed: 1 October 2022).

3. Arkhangelsky V. N. Faktory rozhdaemosti. [Fertility Factors]. Moscow. TEIS. 2006. 399 p. (in Russ.)

4. Lindh T., Malmberg B. Age structure effects and growth in the OECD, 1950-90: Further evidence. Working Paper Series. 1999. No. 12. P. 431-449. DOI: 10.1007/s001480050107

5. Beaudry P., Green D. Population growth, technological adoption and economic outcomes in the information era. Mimeo NBER. Review of Economic Dynamics. 2000. Vol. 5. No. 4. P. 749-774. DOI: 10.3386/w8149

6. Cairo I., Cajner T. Human capital and unemployment dynamics: Why more educated workers enjoy greater employment stability. FEDS Working Paper. 2014. No. 2014-9. P. 652-682. DOI: 10.1111/ecoj.12441

7. Bernanke B. S. The global saving glut and the U.S. current account deficit. Remarks at the Sandridge Lecture. Virginia Association of Economists. Richmond. Virginia. 2005. P. 385-666.

8. Boserup E. Women's Role in Economic Development. Economic Development and Cultural Change. 1972. P. 283. DOI: 10.1086/450619

9. Lucas R. On the mechanics of economic development. Journal of Monetary Economics. 1988. Vol. 22. P. 3-42. DOI: 10.1016/0304-3932(88)90168-7

10. Blanchet D. Demographic trends and pensions: fifteen years of debate. Population and Societies. 2002. No. 383. P. 1-5.

11. Barro R., Becker G. Fertility choice in a model of economic growth. Econometrica. 1989. Vol. 57. P. 481-501. DOI: 10.2307/1912563

12. Cyplakov A. A. Ekskurs v mir instrumental'nyh peremennyh. [A guide to the world of instrumental variables]. Kvantil' [Quantile]. 2007. No. 2. P. 21-47. (in Russ.)

13. Maleva T. M., Sinyavskaya O. V. Sotsial'no-ekonomicheskiye faktory rozhdaemosti v Rossii: empiricheskiye izmereniya i vyzovy sotsial'noj politike [Socioeconomic factors in fertility in modern Russia: the empirical measurement and social challenges politics]. SPERO. 2006. No. 5. P. 70-97. (in Russ.)

14. Pau B. Linking social class inequalities, labor market status, and fertility: An empirical investigation of second births. Advances in Life Course Research. 2020. Vol. 46. P. 306-338. DOI: 10.1016/j. alcr.2020.100377

15. Naohiro O., Matsukur R., Lee S. — H. Women's changing work arrangements, career paths, and marital fertility in Japan. Advances in Life Course Research. 2020. Vol. 46. P. 82-93. DOI: 10.1016/j.alcr.2020.100375

16. Martin-Garcia T., Baizan P. The Impact of Type of Education and of Educational Enrolment on First Births. European Sociological Review. 2006. No. 22. P. 259-275. DOI: 10.1093/esr/jci056

17. Tudor S. Financial incentives, fertility and early life child outcomes. Labour Economics. 2020. Vol. 64. P. 58-66. DOI: 10.1016/j.labeco.2020.101839

18. Begall K., Mills M. C. The Influence of Educational Field, Occupation, and Occupational Sex Segregation on Fertility in the Netherlands. European Sociological Review. 2013. No. 29. P. 720-742. DOI: 10.1093/esr/jcs051

19. Hazan M., Zoabi H. Do highly educated women choose smaller families? CEPR Discussion Paper. 2011. No. DP8590. P. 1-43. DOI: 10.2139/ssrn.1932835

20. Zhuravleva T. L. Gavrilova Ya. A. Analiz faktorov rozhdaemosti v Rossii: chto govoryat dannye RMEZ NIU VShE [Analysis of fertility determinants in Russia: what do RLMS data say?]. Ekonomicheskij zhurnal VShE [Higher Scholl of Economics Economic Journal]. 2017. Vol. 21. No. 1. P. 145-187. (in Russ.)

21. Liu J., Xing C., Zhang O. House price, fertility rates and reproductive intentions. China Economic Review. 2020. No. 62. — P. 77-89. DOI: 10.1016/j.chieco.2020.101496

22. Gorelkina O. G. Mikroanaliz rozhdaemosti v Rossii: rol' neekonomicheskih faktorov [Microanalysis of fertility in Russia: the role of non-economic considerations]. Prikladnaja ekonometrika [Applied Econometrics]. 2007. No. 1. P. 58-74. (in Russ.)

23. Gonzalez L. The Effect of a universal child benefit on conceptions, abortions, and early maternal labor supply. American Economic Journal: Economic Policy. 2013. Vol. 50. No. 3. P. 160-188. DOI: 10.1257/pol.5.3.160

24. Andryushina E. V., Panova E. Gosudarstvennaya politika po stimulirovaniyu rozhdaemosti i podderzhki semej s det'mi: praktika sovremennoj Rossii [Government policy on fertility stimulation and support of families with children: the practice of modern Russia]. Vlast' [The Authority]. 2019. Vol. 27. No. 5. P. 105-111. (in Russ.)
Article

Received: 03.10.2022

Accepted: 16.03.2023

Citation Formats
Other cite formats:

APA
Filimonova, I. V., Ivershin, A. V., Komarova, A. V., & Krivosheeva, O. I. (2023). Factors affecting the decision about having a child and the number of children by women in Russia. Population, 26(1), 55-69. https://doi.org/10.19181/population.2023.26.1.5
Section
DEMOGRAPHY: THEORY AND PRACTICE ISSUES