Pattern of female child mortality among women in raebareli : an explanation through probability model


  • Krishna Pandey Department of Statistics Banaras Hindu University, Varanasi-221005, UP, India
  • Pradip Kumar Department of Statistics Banaras Hindu University, Varanasi-221005, UP, India
  • Ram Dular Singh Department of Statistics Banaras Hindu University, Varanasi-221005, UP, India





Female Child Death, Women and Probability Model.


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.


[1] Sawyer, C. C. (2012). Child mortality estimation: estimating sex differences in childhood mortality since the 1970s. PLoS Med, 9(8), e1001287.

[2] Arokiasamy, P. (2004). Regional patterns of sex bias and excess female child mortality in India. Population (english edition), 833-863.

[3] Tabutin, D., & Willems, M. (1995). Excess female child mortality in the developing world during the 1970s and 1980s. Population Bulletin of the United Nations, 39, 45-78.

[4] Papageorgiou, C., & Stoytcheva, P. (2008). Education Inequality among Women and Infant Mortality: A cross-country empirical investigation.

[5] Cutler, D. A. Deaton and A. Lleras-Muney (2006). “The Determinants of Mortality,†Journal of Economic Perspectives 20, 97-124.

[6] Hill A.G. and Devid H.P. (1989). “Measuring Child Mortality in the Third World, in N. Sources and N Approaches, eds,†‘IUSSP proceeding of international conference, New Delhi, India.

[7] Pathak KB, Pandey A, Mishra US (1991) On Estimating current Levels of Fertility and Child Mortality from the Data on Open Birth Interval and Survival Status of the last Child, Janasamkhya, 9, 15-24.

[8] Renshaw, A. E. (1991), Actuarial graduation practice and generalized linear and nonlinear models. J. Inst. Act, 118: 295-312.

[9] Pandey K.K., Pradip Kumar & Singh R. D., (2016). A Probability Model for Estimating Under-Five Mortality among Women for Fixed Parity in India. Elixir International Journal. 99 (2016) 43199-43201.

[10] Heligman, L. and Pollard, J. H., (1980). Age pattern of mortality. Journal of Institute of Actuaries, 107: 49-80.

[11] Krishnan, P. and Jin, Y., (1993). A statistical model for infant mortality. Paper presented at the IUSSP Meeting, Montreal, Canada, August 25- September 1, 1993.

[12] Singh, K.K., & Singh, B.P. (2011). A probability model for number of child deaths for fixed parity. Demography India, 40(2), 55-68.

[13] Goldblatt P.O. (1989). Mortality by social class, 1971-85. Population Trends, No. 56, Summer.

[14] Ronald D. Lee and Lawrece R. (1992) Carter, ‘Modelling and Forecasting U.S. mortality’, Journal of American Statistical Association, 87, 659-675.

[15] Keyfitz N. (1977). Applied Mathematical Demography’, John Wiley, New York.

[16] Pandey, K.K. and Lhungdim H. (2015). Sex differential in under-five mortality in India: A regional analysis. Prajna, Vol 60(2), 75-83.

[17] Pradesh, B. F. U. (2005). 2007. Concurrent assment of Healthand Family Welfare Programme and Technical Assistance to Districts of Uttar Pradesh. Editor, JV Singh, Department of Community Medicine, KG Medical University, Lucknow, India.

View Full Article: