ESTIMATION OF PARITY PROGRESSION RATIO BY BIRTH ORDER STATISTICS USING VARIOUS SAMPLING FRAME

Authors

  • Brijesh P. Singh Department of Statistics, Banaras Hindu University, Varanasi, India
  • Upasana Shukla Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India

Keywords:

Parity, Parity Progression Ratio, Birth Order, Birth Interval

Abstract

Fertility analysis plays a crucial role in understanding the past, current and future trends of population size, composition and growth. The spacing between two consecutive births and progression from a birth to next higher order birth are two important dimensions of fertility behavior of a woman. The specific index which measures fertility in the second dimension is the parity progressive ratios (PPR) which gives the probability that a woman of a given birth order ever proceeds to the next child, has acquired dominant place in the study of fertility. The objective of this paper is to obtain an alternative procedure for estimating PPR after using some approximations in procedure given by Blacker et al. (1989). In the proposed procedure there is no need of gross reproduction rate and life table survivorship at age one rather we need the growth rate which is easily computed. The proposed procedure has been applied on the various data obtained through different sampling scheme to explore the suitability of the procedure.

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Published

2018-12-15

How to Cite

Singh , B. P. ., & Shukla, U. . (2018). ESTIMATION OF PARITY PROGRESSION RATIO BY BIRTH ORDER STATISTICS USING VARIOUS SAMPLING FRAME. Journal of Reliability and Statistical Studies, 11(02), 175–191. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/20887

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