Statistical Investigation of Household Size using Count Data Regression Models
Journal Title: Journal of Advanced Research in Applied Mathematics and Statistics - Year 2017, Vol 2, Issue 1
Abstract
Social sciences including demography, sociology, economy and anthropology traditionally recognize the importance of the approach of housing and families and their requirements. But the demographers pay less attention on the quantitative dimension size, composition and changes of housing and their causes and consequences. In that sense, the study of housing size is important for the design of public policies and also for the commercial production of housing units. To illustrate the problem, we have taken data of Uttar Pradesh from NFHS-III (2005-06). Poison regression is used to observe the distribution of nature of household members in Uttar Pradesh and to check the influence of socio economic variables in determining the household size. The analysis suggests that household size is strongly dependent on education and sexof household head and number of eligible women in household.
Authors and Affiliations
Mr. Brijesh P. Singh,
Keywords
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