Abstract

Culturally, there is always pressure among newly-wed to conceive early and have births in India. Previous studies have documented relationship between age at first birth & fertility, besides the socio-demographic factors that influence age at first birth. The current study aims answering directions and quantum of such relationships using frailty models. The successive rounds of NFHS data (1, 2, 3 & 4) from Uttar Pradesh is used in the study. Fertility in India is characterized as too-early-too-fast. By age-30 majority women would have completed the childbearing. However, the data from NFHS-4 shows some striking changes in the initiation of child bearing in Uttar Pradesh breaking away from the stereotypes of too early too fast characterization. While 44.67 percent of the women aged 30-34 had experienced first birth by age 18 in the year 1992-93 (NFHS-1), the percentages declined during 2015-16 (NFHS-4) to 28.25%. However, by ages 26 majority of women (>95%) aged 30-34 have had experienced first birth. Births at younger age are also a reflection on enforcement of child-marriage restraint act & adherence to legal minimum age at marriage which is 18 for girls & 21 for boys. The data from NFHS-4 have some quality issues. Women aged as low as 5 have shown to have experienced first birth by that age. This may not be possible. The Kaplan Meier survival Graph provided the survival probabilities with respect of each predictor sub groups. The log rank test was used to test the equality of survivor function for each sub group of the predictor variable. The survivor function was significantly different among sub groups of the predictor variables except for the categories of ever use of contraception at NFHS1 and categories of religion across rounds of NFHS data. The Cox Proportional Hazards model was used to study the risk of first birth by socio demographic characteristics. The Frailty model capturing the unobserved heterogeneity in the event time was preferred over standard survival model. For the current study, gamma frailty with Weibull-hazard is used as it fits the data well. Age at marriage and women’s literacy significantly determines the Age at First Birth. The inverse relationship with regard to ever use of contraception needs further analysis. The model also predicts significant frailty with variance parameter (theta) greater than one across the NFHS datasets.

Highlights

  • The age at first birth has important consequences on the demographic characteristic of the population

  • The current study aims answering directions and quantum of such relationships using frailty models

  • This study aims to revisit the strength of association between age at first birth and socio-demographic factors in light of http://ijsp.ccsenet.org

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Summary

Introduction

The age at first birth has important consequences on the demographic characteristic of the population. Lower age at first birth implies higher rate of fertility and population growth. Lower age at first birth increases the health hazards both for the mother and child. Child bearing stymies growth and negatively impacts mother’s educational attainment. This results in mothers reduced economic opportunity and labour market participation. Studies have shown strong relationship between age at first birth and total children ever born. Childbearing results in large number of children compared to those who start late. Postponement of first births due to an increase in the age at marriage has contributed greatly to the decline in total fertility rate

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