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

Miranda, Alfonso (2010) A double-hurdle count model for completed fertility data from the developing world. NCRM Working Paper. Department of Quantitative Social Science, Institute of Education. (Unpublished)

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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.

Item Type:Working Paper (NCRM Working Paper)
Subjects:5. Quantitative Data Handling and Data Analysis > 5.17 Quantitative Approaches (other)
ID Code:1291
Deposited By: ADMIN user
Deposited On:24 Jun 2010 16:25
Last Modified:12 Oct 2010 17:45

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