Regression Estimation of Childbearing Indices from TFR: A Study of India, States, and Its Districts
Keywords:
Fertility, Regression Estimation, TFR, Childbearing indices, Districts in IndiaAbstract
In the absense of direct estimates of fertility indicators such as total fertility rate (TFR) and childbearing indices, it is customory in the field of demography/Population studies to derive the same using some suitable indirect procedure. In this paper an attempt has been made at first to introduce a new regression methodology for estimating indirectly the maternal childbearing indices from the only given information on TFR. Secondly, using the regression models provided here and using an indirect estimate of TFR of districts in India a set of childbearing indices for disricts in India are derived and they are further used in understanding the fertility transition in India by districts during the time period of 1997 to 2011. Finally, it is shown successfully in this paper by an analysis of the findings that the regression models as well as the estimates of childbearing indices of the district in India are found to be very useful in understanding the fertility transition in India during the study period of 1997 to 2011.