Two Apects of Fertility Behaviour in South Africa
AbstractThis paper examines the effects of individual, household and community characteristics on two aspects of fertility among South African women - the age at first conception and the number of pregnancies. We find that education has a significant effect in pushing back the age at first conception and in reducing the number of pregnancies. There is a thresh-hold level of education that must be attained before education starts delaying the age at first conception and the number of pregnancies for each woman. Women who are currently enrolled in school have lower number of pregnancies. Fertility cannot be examined in isolation of child mortality because child mortality can affect a woman's demand for birth by inducing her to replace her children who die. We therefore investigate the effect of child mortality on the number of pregnancies and find that while there is a replacement factor associated with fertility decisions the effect is not very strong when we make child mortality variables endogenous.
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Bibliographic InfoPaper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 683.
Length: 43 pages
Date of creation: 1999
Date of revision:
Contact details of provider:
Postal: Department of Economics, The University of Melbourne, 5th Floor, Economics and Commerce Building, Victoria, 3010, Australia
Phone: +61 3 8344 5289
Fax: +61 3 8344 6899
Web page: http://www.economics.unimelb.edu.au
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FERTILITY ; EDUCATION ; AGE;
Other versions of this item:
- J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
- O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
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