Effects of Changes in Household Size, Consumer Taste & Preferences on Demand Pattern in India
Centre for Development Economics, Delhi School of Economics, Working papers 01/2000;
Current research in applied demand analysis has been addressing the twin issues of degree of non-linearity or curvature of the Engel curves and the ability to capture price effects appropriately by the demand system. Further, in addition to income and prices, the role of demographic variables like household size, composition and dynamic aspects like consumer taste & preferences are also emphasized in recent literature. Continuous efforts are being made to modify the existing models and propose new ones to incorporate the above developments. The purpose of this study is to re-examine the usefulness of the popular linear expenditure system vis-�-vis two other flexible models viz. Nasse expenditure system, a generalization of the linear expenditure system itself, and the almost ideal demand system in the above context for India. We extend the above three models by incorporating dummy variables representing three income groups, rural-urban sectors and their interactions; one demographic variable namely household size and time trend variable representing consumer taste & preferences into the appropriate demand model parameters. National Sample Survey data on consumer expenditure for five quinquennial rounds viz. 27 (1972-73), 32 (1977-78), 38 (1983), 43 (1987-88) and 50 (1993-94) at the all India level; and comparable retail price series from Jain and Minhas (1991) and Tendulkar and Jain (1993) are used for estimating the above models. Seven broad commodity groups viz. (i) cereals & substitutes, (ii) pulses, (iii) milk & products, (iv) edible oil & fats, (v) meat, eggs and fish, (vi) other food and (vii) total nonfood are used in this analysis. The empirical results show wide variation in marginal budget shares and demand elasticities across income groups, rural-urban sectors and alternative models. The household size and consumer taste & preferences are found to be statistically significant. The results have confirmed the earlier findings that there are significant cha
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.