IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/1001.html
   My bibliography  Save this paper

A double-hurdle count model for completed fertility data from the developing world

Author

Listed:
  • Alfonso Miranda

    () (Depatment of Quantitative Social Science - Institute of Education, University of London.)

Abstract

This paper reports a study on the socio-economic determinants of completed fertility in Mexico. An innovative Poisson Double-Hurdle count model is developed for the analysis. This methodological approach allows low and high order parities to be determined by two different data generating mechanisms, and explicitly accounts for potential endogenous switching between regimes. Unobserved heterogeneity is properly controlled. Special attention is given to study how socio-economic characteristics such as religion and ethnic group affect the likelihood of transition from low to high order parities. Findings indicate that education and Catholicism are associated with reductions in the likelihood of transition from parities lower than four to high order parities. Being an indigenous language speaker, in contrast, increases the odds of a large family.

Suggested Citation

  • Alfonso Miranda, 2010. "A double-hurdle count model for completed fertility data from the developing world," DoQSS Working Papers 10-01, Department of Quantitative Social Science - UCL Institute of Education, University College London.
  • Handle: RePEc:qss:dqsswp:1001
    as

    Download full text from publisher

    File URL: http://repec.ioe.ac.uk/REPEc/pdf/qsswp1001.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kohler, Hans-Peter, 2000. "Fertility decline as a coordination problem," Journal of Development Economics, Elsevier, vol. 63(2), pages 231-263, December.
    2. Maria Melkersson & Dan-Olof Rooth, 2000. "Modeling female fertility using inflated count data models," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 189-203.
    3. Massimiliano Bratti & Alfonso Miranda, 2010. "Non‐pecuniary returns to higher education: the effect on smoking intensity in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 906-920, August.
    4. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, vol. 84(1), pages 129-154, May.
    5. Mukesh Eswaran, 2002. "The empowerment of women, fertility, and child mortality: Towards a theoretical analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(3), pages 433-454.
    6. Willis, Robert J, 1973. "A New Approach to the Economic Theory of Fertility Behavior," Journal of Political Economy, University of Chicago Press, vol. 81(2), pages 14-64, Part II, .
    7. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    8. Terza, Joseph V., 1985. "A Tobit-type estimator for the censored Poisson regression model," Economics Letters, Elsevier, vol. 18(4), pages 361-365.
    9. Labeaga, Jose M., 1999. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco," Journal of Econometrics, Elsevier, vol. 93(1), pages 49-72, November.
    10. Arulampalam, Wiji & Booth, Alison L, 2001. "Learning and Earning: Do Multiple Training Events Pay? A Decade of Evidence from a Cohort of Young British Men," Economica, London School of Economics and Political Science, vol. 68(271), pages 379-400, August.
    11. Steven T. Yen & Chao-Hsiun Tang & Shew-Jiuan B. Su, 2001. "Demand for traditional medicine in Taiwan: a mixed Gaussian-Poisson model approach," Health Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 221-232.
    12. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    13. 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.
    14. Alfonso Miranda, . "Un modelo de valla doble para datos de conteo y su aplicación en el estudio de la fecundidad en México," Stata Press book chapters, StataCorp LP.
    15. Steven T. Yen & Helen H. Jensen, 1995. "Determinants of Household Expenditures on Alcohol," Center for Agricultural and Rural Development (CARD) Publications 95-wp144, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    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. Bastien CHABE-FERRET, 2013. "The Importance of Fertility Norms: New Evidence from France," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2013012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    2. Llerena, Freddy, 2012. "Determinantes de la fecundidad en el Ecuador
      [Determinants of fertility in Ecuador]
      ," MPRA Paper 39887, University Library of Munich, Germany, revised Feb 2012.
    3. Robert Stelter, 2016. "Fertility and health insurance types in Germany," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2016021, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    More about this item

    Keywords

    Completed fertility; count data models; double-hurdle model;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:qss:dqsswp:1001. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bilal Nasim). General contact details of provider: http://edirc.repec.org/data/dqioeuk.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.