A double-hurdle count model for completed fertility data from the developing world
AbstractThis 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.
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Bibliographic InfoPaper provided by Department of Quantitative Social Science - Institute of Education, University of London in its series DoQSS Working Papers with number 10-01.
Length: 45 pages
Date of creation: 19 Jan 2010
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Completed fertility; count data models; double-hurdle model;
Other versions of this item:
- Alfonso Miranda, 2013. "A double-hurdle count model for completed fertility data from the developing world," Mexican Stata Users' Group Meetings 2013 13, Stata Users Group.
- 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
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