
doi: 10.2307/2060977
pmid: 6981531
Abstract In this paper we develop and test a theory of childhood mortality after the first month of life. Parents are assumed to have well-defined family size and sex composition objectives and to face severe budget constraints. In this set of circumstances, it is understandable that they will make allocative decisions that will affect the survival probabilities of children. These decisions and the environmental influences on mortality are the basic forces which determine whether a child will survive through the post-neonatal period. The model is tested with survey data from rural Uttar Pradesh, India. The results are consistent with the hypothetical framework discussed above. The burden of this pattern of choice is felt particularly strongly by female births.
Male, Rural Population, Economics, India, Sex Factors, Infant Mortality, Humans, Mortality, Family Characteristics, Infant, Models, Theoretical, Cross-Sectional Studies, Fertility, Attitude, Socioeconomic Factors, Child, Preschool, Regression Analysis, Female
Male, Rural Population, Economics, India, Sex Factors, Infant Mortality, Humans, Mortality, Family Characteristics, Infant, Models, Theoretical, Cross-Sectional Studies, Fertility, Attitude, Socioeconomic Factors, Child, Preschool, Regression Analysis, Female
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 47 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
