IDEAS home Printed from https://ideas.repec.org/a/arh/jpopec/v9y2025i3p198-224.html

Factors in Intentions to Have a Third Child: What Machine Learning Analysis Reveals

Author

Listed:
  • Alla O. Makarentseva

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia)

  • Aleksandra Ya. Burdyak

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia)

  • Iaroslav I. Sheipak

    (Moscow Institute of Physics and Technology (MIPT), Moscow, Russia)

Abstract

An individual's reproductive trajectory can be represented as a chain of decisions about whether or not to have a child. Decision making is a time-consuming process and usually begins with the formation of intentions. Factors of intentions, as well as their subsequent implementation, differ for children of different orders. Third births are less frequently the focus of attention of researchers than first and second births. The aim of this work is to determine the factors of intentions to have a third child among men and women with two children. The empirical basis of the study is a population survey "People. Family. Society" 2023. We use machine learning methods (ensemble trees) and include in the analysis a very wide range of classifying features, consisting of demographic and socio-economic indicators, as well as value attitudes and assessments of subjective well-being. The peculiarities of the method are such that the presence and absence of a feature can have an asymmetric effect on the dependent variable. The results of the study reveal a profile of conservative attitudes that determine higher chances of being included in the class of those intending to have a third child in the next three years: a negative attitude towards the admissibility of abortion, agreement with the statement that women would like to take care of the home and children, and moderate religiosity. In addition, factors that indicate the choice of the appropriate time for the birth of a child are important, namely the age of the youngest child from 3 to 6 years, positive expectations regarding improved housing conditions, as well as the desire for the spouse to have more children as part of the couple's agreed reproductive attitude. The class of those who express a desire to have more children, but do not express specific plans for having a child (this could be either a postponement or a complete refusal to realize the desire), is of particular interest in the context of the possibilities of demographic policy. The economic profile of factors for falling into this class is determined by the agreement with the statement that in the absence of one's own home and stable work it is better to postpone having a child and – at the same time – the absence of positive expectations regarding improvement of housing conditions, the presence of some housing deprivation; the presence of consumer loans payments. Removing economic barriers may allow this category of respondents to achieve the desired number of children.

Suggested Citation

  • Alla O. Makarentseva & Aleksandra Ya. Burdyak & Iaroslav I. Sheipak, 2025. "Factors in Intentions to Have a Third Child: What Machine Learning Analysis Reveals," Population and Economics, ARPHA Platform, vol. 9(3), pages 198-224, October.
  • Handle: RePEc:arh:jpopec:v:9:y:2025:i:3:p:198-224
    DOI: 10.3897/popecon.9.e135768
    as

    Download full text from publisher

    File URL: https://populationandeconomics.pensoft.net/article/135768/
    Download Restriction: no

    File URL: https://libkey.io/10.3897/popecon.9.e135768?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aleksandra Ya. Burdyak, 2025. "Credit Burden and Reproductive Intentions: The Spillover Effect of Housing Programs on Fertility in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 64-82, December.

    More about this item

    Keywords

    ;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arh:jpopec:v:9:y:2025:i:3:p:198-224. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Teodor Georgiev (email available below). General contact details of provider: https://populationandeconomics.pensoft.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.