THE DETERMINANTS OF HOUSEHOLD FERTILITY DECISION IN INDIA: POISSON REGRESSION ESTIMATION OF NUMBER

The number of children a family has is important not just for the family but also for the nation's economic prosperity. The current drop in childbearing rates has ramifications for the economy's demographic behaviour and labour force. Using 2011-12 Indian Human Development Survey-II data and the Poisson regression estimate method, this study investigates the factors influencing the fertility decision, i.e. the number of children in households in India. The projected results reveal that in India, household income, women's education and age at marriage, as well as contraceptive use, influence fertility decisions. Though women's employment has a favourable effect on fertility, the combined spousal income reduces fertility choice, demonstrating the price effect of women's earnings. According to the incidence rate ratios, illiterate, working, and urban women are more likely to have children. The number of children is predicted to decrease as women's ages at marriage, contraceptive use, and household income rise, while non-Muslim women are expected to have fewer children than Muslim women.

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