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Mean ages at parities: an indirect estimation.

M Afzal, M F Kiani

Pakistan Development Review

|January 1, 1995

Summary

This study introduces an indirect method to estimate age patterns of births by parity, focusing on the timing of first and subsequent births. The approach, extended from Hajnal's method, uses demographic survey data to analyze shifts in birth timing over time.

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Area of Science:

Demography
Population Studies
Reproductive Health

Background:

Estimating age-specific fertility patterns is crucial for understanding population dynamics.
Traditional methods often focus on birth rates rather than the timing of individual birth parities.
Understanding shifts in birth timing is essential for public health and policy planning.

Purpose of the Study:

To describe an indirect methodology for estimating age patterns of birth occurrence by parity.
To analyze the age at which first, second, and subsequent births occur.
To examine temporal shifts in these birth timing patterns.

Main Methods:

Extension of Hajnal's method for estimating singulate mean age at marriage.
Utilizing proportions of women at different parities.

Keywords:

Age Factors Asia Demographic Factors Developing Countries Estimation Technics Fertility Fertility Measurements Indirect Estimation Technics Pakistan Parity Population Population Characteristics Population Dynamics Research Methodology Southern Asia

Related Experiment Videos

Application to data from Pakistan Fertility Survey (1975) and Pakistan Demographic and Health Survey (1990-1991).

Main Results:

The study demonstrates an indirect approach to analyze age patterns of birth by parity.
The methodology allows for the estimation of shifts in the timing of first, second, and subsequent births over time.
The approach is validated using demographic data from Pakistan.

Conclusions:

The developed indirect method provides valuable insights into birth timing patterns by parity.
This approach can help in understanding fertility trends and their evolution.
Further application of this method can enhance demographic analysis and reproductive health research.