IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v124y2015i2p477-499.html
   My bibliography  Save this article

Multilevel Modelling of Individual Fertility Decisions in Tunisia: Household and Regional Contextual Effects

Author

Listed:
  • Mohamed Amara

Abstract

In this study we examine the household and the contextual effects on the individual fertility decisions in Tunisia. We use the fourth round of the Multiple Indicator Cluster Surveys (MICS4 Tunisia) conducted in 2011–2012 by the Ministry of Development and International Cooperation in collaboration with the National Institute of Statistics. We exploit the hierarchical structures of the MICS4 data to study the regional and contextual perspectives of fertility in Tunisia and to show that the environment and the place where households live influence their family size. Results are obtained from estimated fixed and random effects multilevel Poisson models. Both household and regional characteristics explain a significant portion of the variation in individual fertility decisions in Tunisia. More specifically, household’s economic situation and women education affect negatively fertility decisions suggesting that higher income households choose to invest more in quality than in quantity of children. In addition, the results suggest that contextual effects, such as the regional poverty rate, positively affect the number of children, while regional unemployment rate and the availability of women’s health centers have a negative impact. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Mohamed Amara, 2015. "Multilevel Modelling of Individual Fertility Decisions in Tunisia: Household and Regional Contextual Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 477-499, November.
  • Handle: RePEc:spr:soinre:v:124:y:2015:i:2:p:477-499
    DOI: 10.1007/s11205-014-0793-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11205-014-0793-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11205-014-0793-5?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.

    References listed on IDEAS

    as
    1. Gary S. Becker & Kevin M. Murphy & Robert Tamura, 1994. "Human Capital, Fertility, and Economic Growth," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 323-350, National Bureau of Economic Research, Inc.
    2. Gary S. Becker & H. Gregg Lewis, 1974. "Interaction between Quantity and Quality of Children," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 81-90, National Bureau of Economic Research, Inc.
    3. Karsten Hank, 2002. "Regional Social Contexts and Individual Fertility Decisions: A Multilevel Analysis of First and Second Births in Western Germany," Discussion Papers of DIW Berlin 270, DIW Berlin, German Institute for Economic Research.
    4. Frini, Olfa & Muller, Christophe, 2012. "Demographic transition, education and economic growth in Tunisia," Economic Systems, Elsevier, vol. 36(3), pages 351-371.
    5. Karsten Hank, 2002. "Regional Social Contexts and Individual Fertility Decisions: A Multilevel Analysis of First and Second Births in Western Germany," European Journal of Population, Springer;European Association for Population Studies, vol. 18(3), pages 281-299, September.
    6. Caudill, Steven B & Mixon, Franklin G, Jr, 1995. "Modeling Household Fertility Decisions: Estimation and Testing of Censored Regression Models for Count Data," Empirical Economics, Springer, vol. 20(2), pages 183-196.
    7. Overmars, Koen P. & Verburg, Peter H., 2006. "Multilevel modelling of land use from field to village level in the Philippines," Agricultural Systems, Elsevier, vol. 89(2-3), pages 435-456, September.
    8. Francisco Covas & J.M.C. Santos Silva, 2000. "A modified hurdle model for completed fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 173-188.
    9. Andromachi Tseloni, 2006. "Multilevel modelling of the number of property crimes: household and area effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 205-233, March.
    10. Gary S. Becker, 1960. "An Economic Analysis of Fertility," NBER Chapters, in: Demographic and Economic Change in Developed Countries, pages 209-240, National Bureau of Economic Research, Inc.
    11. Browning, Martin, 1992. "Children and Household Economic Behavior," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1434-1475, September.
    12. repec:cai:poeine:pope_505_0505 is not listed on IDEAS
    13. Lawrence Kazembe, 2009. "Modelling individual fertility levels in Malawian women: a spatial semiparametric regression model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 237-255, July.
    14. Beydoun, May A., 2001. "Marital fertility in Lebanon: a study based on the population and housing survey," Social Science & Medicine, Elsevier, vol. 53(6), pages 759-771, September.
    15. Weiren Wang & Felix Famoye, 1997. "Modeling household fertility decisions with generalized Poisson regression," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(3), pages 273-283.
    16. Hatem Jemmali & Mohamed Amara, 2014. "Assessing Inequality of Human Opportunities: A New Approach for Public Policy in Tunisia," Working Papers 871, Economic Research Forum, revised Nov 2014.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Garikayi Bernard Chemhaka & Clifford Odimegwu, 2020. "Individual and community factors associated with lifetime fertility in Eswatini: an application of the Easterlin–Crimmins model," Journal of Population Research, Springer, vol. 37(3), pages 291-322, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
    2. Echávarri Aguinaga, Rebeca, 2009. "Education and the dynamics of family decisions," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    3. Alison L. Booth & Hiau Joo Kee, 2009. "Intergenerational Transmission of Fertility Patterns," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 183-208, April.
    4. George Hondroyiannis, 2010. "Fertility Determinants and Economic Uncertainty: An Assessment Using European Panel Data," Journal of Family and Economic Issues, Springer, vol. 31(1), pages 33-50, March.
    5. Westerberg, Thomas, 2006. "MoreWork, Less Kids - The Relationship Between Market Experience and Number of Children," Umeå Economic Studies 682, Umeå University, Department of Economics.
    6. Daishin Yasui, 2017. "A Theory Of The Cross‐Sectional Fertility Differential: Job Heterogeneity Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(1), pages 287-306, February.
    7. Larry E. Jones & Alice Schoonbroodt & Michèle Tertilt, 2010. "Fertility Theories: Can They Explain the Negative Fertility-Income Relationship?," NBER Chapters, in: Demography and the Economy, pages 43-100, National Bureau of Economic Research, Inc.
    8. Tumen, Semih, 2012. "Fertility decisions and endogenous residential sorting," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 78-87.
    9. Thomas A. DiPrete & S. Philip Morgan & Henriette Engelhardt & Hana Pacalova, 2003. "Do Cross-National Differences in the Costs of Children Generate Cross-National Differences in Fertility Rates?," Discussion Papers of DIW Berlin 355, DIW Berlin, German Institute for Economic Research.
    10. Westerberg, Thomas, 2006. "Two Papers On Fertility - The Case Of Sweden," Umeå Economic Studies 683, Umeå University, Department of Economics.
    11. Volker Meier, 2005. "The impact of family policies on fertility: An international comparison Study commissioned by the Robert Bosch Foundation," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 26.
    12. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    13. Buly A. Cardak, 1999. "Heterogeneous Preferences, Education Expenditures and Income Distribution," The Economic Record, The Economic Society of Australia, vol. 75(1), pages 63-76, March.
    14. Timothy W. Guinnane, 2011. "The Historical Fertility Transition: A Guide for Economists," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 589-614, September.
    15. Galindev, Ragchaasuren, 2008. "The Evolution of Population, Technology and Output," MPRA Paper 17116, University Library of Munich, Germany, revised 22 Aug 2009.
    16. Dierk Herzer & Holger Strulik & Sebastian Vollmer, 2012. "The long-run determinants of fertility: one century of demographic change 1900–1999," Journal of Economic Growth, Springer, vol. 17(4), pages 357-385, December.
    17. Jakob Madsen & Holger Strulik, 2023. "Testing unified growth theory: Technological progress and the child quantity‐quality tradeoff," Quantitative Economics, Econometric Society, vol. 14(1), pages 235-275, January.
    18. Éva Berde & Izabella Kuncz, 2017. "Possible Paths for GDP Per Capita – Simulation with a Demographic Growth Model," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 16(4), pages 36-57.
    19. Helmut Rainer & Geethanjali Selvaretnam & David Ulph, 2011. "Assisted reproductive technologies (ART) in a model of fertility choice," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(3), pages 1101-1132, July.

    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:spr:soinre:v:124:y:2015:i:2:p:477-499. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.