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AI 根据所提供的论文材料归类:摘要明确研究内生项目布点下的政策效果,并通过联立方程整合生育行为与动态配置过程,对应因果推断和结构估计。

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关注这篇论文的作者
Gustavo Angeles
David K. Guilkey
Thomas A. Mroz

定向项目布点与坦桑尼亚计划生育项目效果估计

研究问题
当计划生育服务的布点受地区生育水平及相关因素影响时,如何处理服务配置的内生性,避免错误估计不同设施的生育影响。
方法与思路
作者扩展联立方程框架,整合个体生育时点与间隔模型和动态服务布点过程,结合坦桑尼亚调查与布点资料进行估计和模拟。
材料陈述的贡献
摘要称,常规方法高估计划生育医院可及性的生育影响,并显著低估提供相关服务的卫生中心影响;文章用模拟量化差异。
阅读关注点
应核对动态布点与个体生育方程的识别条件、时间信息如何连接两类数据,以及模拟量化的是何种政策变化与效应。
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仅据版本未注明的 OpenAlex 索引摘要;识别限制、效应数值及稳健性未说明,不能推断其他版本变化或跨地区结论。

原文摘要

Most studies evaluating the impact of family planning on fertility treat the presence of family planning clinics as being “randomly” assigned among the areas included in the study. They tend to ignore the possibility that the distribution of services may be related to the fertility level observed in a particular area. In some cases the distribution of services may respond to a conscious effort by public authorities or funding agencies to target areas with observed higher fertility. Even in absence of program planning, the factors determining service placement might be related to the determinants of high, or low, fertility in a particular area. If that is the case, and one fails to account for the endogeneity of family planning services, then the estimated impact of family planning programs will be biased. This article presents a modeling approach to address this issue. The model extends the simultaneous equation framework by integrating an individual-level model of timing and spacing of children with the dynamic process of program placement. Individual-level data from the 1991/1992 Tanzania Demographic and Health Survey are augmented with data on the timing of, and factors influencing, family planning service placement to demonstrate the approach. The empirical results show that standard methods yield misleading results on the impact of different components of the family planning program on fertility. In particular, the effect of access to family planning hospitals on births is overstated, and the impact of access to health centers that offer family planning is understated significantly. We quantify the size of these effects through simulations.

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