IDEAS home Printed from https://ideas.repec.org/a/taf/gmasxx/v43y2019i4p213-230.html
   My bibliography  Save this article

Sense and sensibility: using a model to examine the relationship between public pre-school places and fertility

Author

Listed:
  • Maria T. Sanz
  • Vicente Díaz Gandasegui
  • Begoña Elizalde-San Miguel

Abstract

This paper presents a stochastic dynamic mathematical model, in which a Family Policy Index (XFPI) is included to measure and compare two different models of provision of resources to support families with children from 0 to 3 years old. The main variables in this model are the XFPI, fertility, mortality, emigration and immigration rates. This mathematical model was validated in two different countries, Spain and Norway, during the 2007–2015 period. A sensitivity analysis was applied to simulate the future trend (2016–2030), examining the influence of providing public pre-school services (0 to 3 years) on (XISF). The results obtained show that these services may indeed have an influence on fertility rates, as long as they are developed extensively.

Suggested Citation

  • Maria T. Sanz & Vicente Díaz Gandasegui & Begoña Elizalde-San Miguel, 2019. "Sense and sensibility: using a model to examine the relationship between public pre-school places and fertility," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 43(4), pages 213-230, October.
    • Handle: RePEc:taf:gmasxx:v:43:y:2019:i:4:p:213-230
    DOI: 10.1080/0022250X.2019.1583226
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0022250X.2019.1583226
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0022250X.2019.1583226?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Vicente Díaz Gandasegui & Begoña Elizalde-San Miguel & Maria T. Sanz, 2021. "Back to the Future: a Sensitivity Analysis to Predict Future Fertility Rates Considering the Influence of Family Policies—The Cases of Spain and Norway," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(3), pages 943-968, April.

    More about this item

    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:taf:gmasxx:v:43:y:2019:i:4:p:213-230. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gmas .

    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.