Abstract
One of the principal determinants of population growth is mortality. The level of female child mortality is often taken as indicator of health conditions, but these may be in general regarded as an indicator of the development of a society and an important indicator of overall development of a country. In this paper, the probability model for number of female child death among women, have been derived. The application of the model in the paper is illustrated through its application to the data from Raebareli district of Uttar Pradesh from Concurrent Assessment of Health & Family Welfare Programs and Technical Support to District of Uttar Pradesh (CATA, 2005-06). The models are estimated on the basis of observed set of data and are tested for their suitability.
Highlights
Sex is a key variable for disaggregation of childhood mortality rate estimates, both for monitoring and analytical purposes (Sawyer 2012)
The level of female child mortality is often taken as indicator of health conditions, but these may be in general regarded as an indicator of the development of a society and an important indicator of overall development of a country
The application of the model in the paper is illustrated through its application to the data from Raebareli district of Uttar Pradesh from Concurrent Assessment of Health & Family Welfare Programs and Technical Support to District of Uttar Pradesh (CATA, 2005-06)
Summary
Sex is a key variable for disaggregation of childhood mortality rate estimates, both for monitoring and analytical purposes (Sawyer 2012). The under-five female mortality rate, denoted in the literature as female U5FMR, is the probability of female dying between birth and exact age 5 year. Study suggested an approach for estimating child mortality from all births which have taken place in last five (Hill et al 1989). Pandey (Pandey et al 2016) illustrated probability model for estimating under-five mortality among women for fixed parity. No one study has been done to explain the female child death according to educational status of mother through probability model. Our purpose is to use a new probability model for the number of female child deaths within the first five years of life among the women according to their educational status. The application of the model in the paper is demonstrated through its application to the data from Raebareli district of Uttar Pradesh from Concurrent Assessment of Health & Family Welfare Programs and Technical Support to District of Uttar Pradesh (CATA 2005)
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