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  • 标题:Estimation of Parity Progression Ratios from Open and Closed Birth Interval Data
  • 本地全文:下载
  • 作者:R. C. Yadava ; Anup Kumar ; Mahendra Pratap
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2013
  • 卷号:11
  • 期号:3
  • 页码:607-621
  • 出版社:Tingmao Publish Company
  • 摘要:While making an attempt to estimate parity progression ratio(PPR) values utilizing procedure of Yadava et al. (1992) for various statesof India using National Family Health Survey (NFHS) data of di erentrounds, it was found that for some southern states the estimates of PPRwere unreasonable and sometimes negative also. The procedure is based onan implicit assumption that ith order births are uniformly distributed overtime which may be not suited for these southern states since these stateshave shown steep decline in fertility in recent years. The objective of thepaper is to develop modi ed methodology for estimating PPR under morerealistic assumptions suited for the situation. The proposed methodologygives improved estimates of PPR.
  • 关键词:Birth interval; parity progression ratios; uniform distribution.
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