ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Articles By T Krishna Kumar

Understanding the Education System: An Eco-Behavioural Approach

The eco-behavioural approach to the study of education suggests that the achievements of students would depend on the expectations placed on them, and the support they receive from other participants in various behavioural settings. The approach is theoretically constructed and empirically verified in this paper. Using the methodology of such an approach, one can debate the reasoning behind the policy of reservation in higher education. Such an exercise is attempted in this essay.

IIM Review Committee Report: A Critical Examination

The report of the IIM Review Committee has a very poorly defined purpose and approach. Some of the basic issues have been touched upon only superficially. The report reflects the shortcomings in the constitution of the committee and its inability to take adequate inputs from stakeholders. It has slipped a few crucial terms of reference, demonstrating a casual approach to the whole issue of preparing a report on such an important topic.

Engel curve Method for Measuring poverty

While the headcount index of poverty in India has fallen, per capita cereal consumption and calorie intake have also decreased. At the poverty line, the minimum calorie requirements used for defining this line in the base year are not being met in later years. While the official poverty line used the food requirement norm from nutrition science, this paper employs the food consumption requirement derived from the Engel curve as the norm to arrive at a measure of food consumption deprivation. It is shown that food deprivation levels do not reflect the same pattern that the traditional poverty indices depict, questioning the usefulness of traditional poverty indices for measuring food deprivation.

Some Basic Issues in Statistical Modelling in Social Sciences

In a discussion on how social scientists use statistical models in their analysis, this paper uses some illustrative examples and highlights the importance of understanding the data generation process, viz, the way data are generated in the natural setting, and the way the data are selected from that natural setting through some sample selection process. The paper makes constructive suggestions on the importance of exploratory data analysis to improve the credibility of the specification of models. As there is always a likelihood that a model could be wrongly specified, and as omission of relevant variables could adversely affect statistical credibility, such exploratory data analysis would improve the statistical models.