Uncertainty about children's survival and fertility: A test using indian microdata
Vincenzo Atella () and
Furio Rosati ()
Journal of Population Economics, 2000, vol. 13, issue 2, pages 263-278
In this paper we present a non altruistic model of demand for children in the presence of uncertainty about children's survival. Children are seen as assets, as they provide help during old age. Theoretical predictions relating to the change in the mean and variance of the survival rate are derived. The empirical analysis is based on data from the Human Development of India (HDI) survey. Different models for count data variables, such as Poisson and hurdle models have been employed in the empirical analysis. The results highlight the importance of the uncertainty about children's survival in determining parental choices. This shows that realized or expected children's death is not the only link between fertility decision and children's mortality. The policy implications of such findings are briefly discussed.
Keywords: Fertility; non altruistic model; count data (search for similar items in EconPapers)
JEL-codes: C2 D1 (search for similar items in EconPapers)
Note: Received: 20 August 1998/Accepted: 19 July 1999
References: Add references at CitEc
Citations View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
Access to the full text of the articles in this series is restricted
Working Paper: Uncertainty about children's survival and fertility: a test using Indian microdata (1999)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:spr:jopoec:v:13:y:2000:i:2:p:263-278
Ordering information: This journal article can be ordered from
Access Statistics for this article
Journal of Population Economics is currently edited by K.F. Zimmermann
More articles in Journal of Population Economics from Springer
Contact information at EDIRC.
Series data maintained by Guenther Eichhorn ().