By Alok Bhargava
This publication is a compendium of Alok Bhargava's most vital contributions in longitudinal econometric tools and its program to difficulties of nutrients, foodstuff and health and wellbeing. It demonstrates the usefulness of rigorous econometric and statistical equipment in addressing problems with under-nutrition and terrible baby overall healthiness in constructing nations, in addition to weight problems in constructed nations.
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Extra info for Econometrics, Statistics And Computational Approaches in Food And Health Sciences
1983). Estimating dynamic random effects models from panel data covering short time periods. Econometrica, 51, 1635-1659. Bhargava, A. (1987). Wald tests and systems of stochastic equations. International Economic Review, 28, 789-808. Bhargava, A. (1991a). Identification and panel data models with endogenous regressors. Review of Economic Studies, 58, 129-140. Bhargava, A. (1991b). Estimating short and long run income elasticities of foods and nutrients for rural south India. Journal of the Royal Statistical Society, Series A, 154, 157-174.
From a diet quality standpoint, it was useful to express the households' "use" of /3-carotene, calcium, carbohydrate, protein, fiber, iron, and saturated, monounsaturated and polyunsaturated fats as ratios to energy use. In addition, a model was estimated for households' energy use to identify variables contributing to food shortages. Alternative versions of the models were estimated to account for the ages of household members and for presence of guests. From the responses to the survey items, indices were constructed for households' behavioral characteristics such as the knowledge of the 'Food pyramid', reading 'Nutrition labels', consuming 'Low-fat diet' and 'Fruits and vegetables', and for shopping practices ('Save money').
5. S. using the Michigan Panel. Previous studies have employed static models with serially correlated errors [11, 4] though a dynamic framework may be more appropriate in studying the dynamics of individuals' incomes. g. 8 In this paper, however, we shall confine ourselves to the estimation of dynamic models with the typical explanatory variables that have been used in previous studies [11, 6, 7, 4] though, of course, some caution would be necessary in interpreting our findings. 8 The coefficients of macro variables can be consistently estimated using these models but these variables must not be included in the set of Instrumental Variables (see ).