Bhargava Alok
Department of Economics, University of Houston, Houston, TX, USA.
J Biosoc Sci. 2007 May;39(3):367-81. doi: 10.1017/S0021932006001593. Epub 2006 Aug 23.
This paper models the proximate determinants of children born to over 13,000 Ethiopian women and of the women's stated preferences for additional births using the data from the Ethiopian Demographic and Health Survey 2000. Empirical models for the number of children born to women were estimated using Poisson and ordinal regressions. The results show the importance of variables such as maternal education for smaller family size, and that variables reflecting desired family size are strong predictors of the numbers of children born to women. Secondly, binary logistic models for dichotomous variables for women not wanting more children and if getting pregnant would be a 'big problem' showed non-linear effects of the surviving and 'ideal' number of children. Moreover, the results indicated a desire on the part of women to limit family size, especially as the number of surviving children increased. Probit models were estimated to address potential endogeneity of certain variables. Overall, the results indicated that counselling couples about small family size and increasing the utilization of health care services can lower fertility in Ethiopia.
本文利用2000年埃塞俄比亚人口与健康调查的数据,对13000多名埃塞俄比亚妇女所生育子女的直接决定因素以及这些妇女对额外生育的既定偏好进行了建模。使用泊松回归和有序回归估计了妇女生育子女数量的实证模型。结果表明,诸如母亲教育程度等变量对家庭规模较小具有重要意义,而且反映理想家庭规模的变量是妇女生育子女数量的有力预测指标。其次,针对妇女不想要更多孩子以及怀孕是否会成为“大问题”的二分变量建立的二元逻辑模型显示,存活子女数量和“理想”子女数量存在非线性效应。此外,结果表明妇女有意愿限制家庭规模,尤其是随着存活子女数量的增加。估计了概率单位模型以解决某些变量的潜在内生性问题。总体而言,结果表明,为夫妇提供关于小家庭规模的咨询并提高医疗保健服务的利用率,可以降低埃塞俄比亚的生育率。