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

Alfonso Miranda

No 10-01, DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College 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.

Keywords: Completed fertility; count data models; double-hurdle model (search for similar items in EconPapers)
JEL-codes: C25 J13 J15 (search for similar items in EconPapers)
Pages: 45 pages
Date: 2010-01-19
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (7)

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Working Paper: A double-hurdle count model for completed fertility data from the developing world (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:qss:dqsswp:1001

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