"This paper attempts to analyze mortality transition in India during [the] 1970s and 1980s through the modelling of the age pattern of mortality by applying the Heligman-Pollard model mortality schedule. The analysis reveals that mortality transition in India has not been uniform in all the age [or sex] groups....Middle-life mortality has been found to be more or less unchanged during the period under reference. Implications of the age pattern of mortality transition [on] health policy [are also] discussed."
"This paper reviews...demographic development [in India] since the mid-1970s and highlights important data gaps in respect to (i) fertility and family planning (ii) mortality and morbidity along with priority areas for exploratory research. The paper notes that during the past two decades, [the] demographic data-base in India has improved considerably. Fertility levels have begun to fall in many places and mortality has continued its rapid downward course...."
"Using the cluster analysis technique and Heligman-Pollard mortality model, the present paper analyses the regional variations in age pattern of mortality in India around 1986-88. The paper identifies three broad patterns of age-specific mortality rates in the country--the Central-India Pattern; the South-India Pattern; and the North-West India Pattern. In addition, Kerala has its own typical pattern of age-specific mortality. Similarly, Assam (Males) and Jammu and Kashmir (Males) have their own typical pattern of age-specific mortality rates while the same is also true for Rajasthan (Females). The implications of age patterns of mortality identified in this analysis have also been discussed."
"The Institute of Economic Research undertook [a] base line survey in Gokak taluka [India].... The major objective was to provide a data base for evaluating programme efforts, and developing strategies and plans for the future.... The main object of the study was to provide base-line information on the levels of fertility, family planning, and maternal [and] child health care for the project area...[and] aspects of mortality and morbidity."
"In this paper we examined the interdistrict variations in mean age at marriage of males and females in Karnataka [India] in two points of time, 1971 and 1981, and also the possible factors influencing this variation....A multivariate analysis of the determinants of mean age at marriage in Karnataka showed that literacy rate, sex ratio of the population and percentage of villages electrified are important in explaining the regional and time variation in age at marriage of both sexes.... Our regression results indicated that a 10 per cent increase in female literacy rate is associated with approximately one-year increase in female age at marriage. However, neither the increase in female literacy nor the changes in the sex ratio of the population could explain all the increase in female age at marriage during 1971-81. This indirectly suggests that there was an increase in female age at marriage among all socio-economic groups."
