Demographic Effects in Demand Analysis: Estimation of the Quadratic Expenditure System Using Microdata

The implications of a third-order translog demand system and some empirical results

“…Secondly, some doubt has recently been cast on the appropriateness of using aggregate, time-series data to estimate consumer demand systems 4. Finally, there is evidence that demographic effects are important determinants of demand and that these can best be modelled at the disaggregate level using micro-data (Barnes and Gillingham 1984).…”

“…This type of data is now available, and can be used to estimate systems of consumer demands. Furthermore, these data sets contain extensive information on demographic characteristics which, having recently been found to be important determinants of demand (Barnes and Gillingham 1984) can be included in general demand systems of the third-order translog type. …”

Understanding household consumption patterns in Pakistan

“…12 This is a common practice in the consumption analyses; see, for example, Malik and Ahmad (1985) and Bewley (1982), Burney and Khan (1991). 13 See Pollak and Wales (1978), Barnes and Gillingham (1984), for instance. total number of female children, MCH total number of male children, FAD total number of female adults and ELD represents elderly.…”

Seasonality in U.S. Consumer Demand

“…Estimation of complete demand systems has flourished and given' rise to computation of elasticity matrices, calculation of cost of living indexes, incorporation of savings, and testing of the various theoretical restrictions. Previous single equation work such as Houthakker and Taylor (1966) concentrated on habit and adjustment effects, while recent work by Pollak and Wales (1981), Muellbauer (1977), and Barnes and Gillingham (1981) incorporates demographic effects into a complete system framework. Thus far, however, little effort has been directed at analyzing temporal variation in the form of seasonal effects.…”