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

  • Alfonso Miranda

    (CIDE)

I report on a study of the socioeconomic 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 socioeconomic 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. However, being an indigenous language speaker increases the odds of a large family.

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Paper provided by Stata Users Group in its series Mexican Stata Users' Group Meetings 2013 with number 13.

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Date of creation: 13 May 2013
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Handle: RePEc:boc:msug13:13
Contact details of provider: Web page: http://www.stata.com/meeting/mexico13

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  1. Miranda, Alfonso & Bratti, Massimiliano, 2006. "Non-Pecuniary Returns to Higher Education: The Effect on Smoking Intensity in the UK," IZA Discussion Papers 2090, Institute for the Study of Labor (IZA).
  2. Francisco Covas & J.M.C. Santos Silva, 2000. "A modified hurdle model for completed fertility," Journal of Population Economics, Springer, vol. 13(2), pages 173-188.
  3. Terza, Joseph V., 1985. "A Tobit-type estimator for the censored Poisson regression model," Economics Letters, Elsevier, vol. 18(4), pages 361-365.
  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. 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.
  6. 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.
  7. 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.
  8. Mukesh Eswaran, 2002. "The empowerment of women, fertility, and child mortality: Towards a theoretical analysis," Journal of Population Economics, Springer, vol. 15(3), pages 433-454.
  9. 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.
  10. Kohler, Hans-Peter, 2000. "Fertility decline as a coordination problem," Journal of Development Economics, Elsevier, vol. 63(2), pages 231-263, December.
  11. 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.
  12. Maria Melkersson & Dan-Olof Rooth, 2000. "Modeling female fertility using inflated count data models," Journal of Population Economics, Springer, vol. 13(2), pages 189-203.
  13. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
  14. Alfonso Miranda, 2013. "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. 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 S14-64, Part II, .
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