Abstract
A technique is proposed to estimate the conception rate using the distribution of first birth interval of recently married women. The proposed technique adjusts the truncation and selection effects present in a crosssectional data. Real data from NFHS-3 and NFHS-4 are used for illustration.
Highlights
The study of human fertility through birth interval approach is very popular among demographers and statisticians
The data of birth interval are considered as an indicator of reproductive performance and difference in observed distributions reflects the different patterns of reproduction (see Yadava et al (2013))
Heterogeneity in the underlying population places diculties in the way of interpretation of all statistical data based on averages
Summary
The study of human fertility through birth interval approach is very popular among demographers and statisticians. Heterogeneity with respect to parameters involved in a model sampling frame may alter the distribution significantly. This typically describes the difficulties of the impact of sampling frame on the distribution of birth intervals. 758 An Adjustment of Truncation and Selection Effect for Estimating Conception Rate from First Birth Interval Data follows a type III Pearson distribution Singh (1964). To overcome the impact of truncation bias many authors have analyzed only those women whose marital duration is large enough to have probability one for having first birth A procedure is described to estimate fecundability from the first birth interval in the shorter marital duration owing to a heterogeneous population.
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