An Implicitly Directly Additive Demand System: Estimates for Australia
The problem of endowing large applied general equilibrium models with numerical values for parameters is formidable. For example, a complete set of own- and cross-price elasticities of demand for the ORANI model involves 228 squared, or about 60 K items. Invoking the minimal assumptions that demand is generated by utility maximization reduces the load to about 26 K -- obviously still a number much too large for unrestrained econometric estimation. To obtain demand systems estimates for a dozen or so generic commodities at a top level of aggregation (categories like 'food', 'clothing and footwear', ...), typically Johansen's (1960) lead has been followed, and directly additive preferences imposed upon the underlying utility function. With the move beyond one-step linearized solutions of the ORANI model, the functional form of the demand system adopted becomes an issue. The most celebrated of the additive-preference demand systems, Stone's (1954) linear expenditure system (LES), has one drawback for empirical work; namely, the constancy of marginal budget shares (MBSs) -- a liability shared with the Rotterdam system (Barten, 1964, 1968; Theil, 1965, 1967). To get around this, Theil and Clements (1987) used Holbrook Working's (1943) Engel specification in conjunction with additive preferences; unfortunately both Working's formulation and Deaton and Muellbauer's (1980) AIDS have the problem that, under large changes in real incomes, budget shares can stray outside the [0,1] interval. It was such behaviour that led Cooper and McLaren (1987, 1988, 1991, forthcoming 1992) to invent MAIDS, a system with better regularity properties. MAIDS, however, is not globally compatible with any additive preference system. In this paper we specify, and estimate, at the six-commodity level, an implicitly directly additive-preference demand system which allows MBSs to vary as a function of total real expenditure and which is globally regular throughout that part of the the price-expenditure space in which the consumer is at least affluent enough to meet subsistence requirements.
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- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
- Reinert, Kenneth A. & Roland-Holst, David W., 1992. "Armington elasticities for United States manufacturing sectors," Journal of Policy Modeling, Elsevier, vol. 14(5), pages 631-639, October.
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- Selvanathan, Saroja, 1991. "The Reliability of ML Estimators of Systems of Demand Equations: Evidence from OECD Countries," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 346-53, May.
- Clements, Kenneth W & Selvanathan, Antony & Selvanathan, Saroja, 1996.
"Applied Demand Analysis: A Survey,"
The Economic Record,
The Economic Society of Australia, vol. 72(216), pages 63-81, March.
- K.R. Pearson, 1991. "Solving Nonlinear Economic Models Accurately Via a Linear Representation," Centre of Policy Studies/IMPACT Centre Working Papers ip-55, Victoria University, Centre of Policy Studies/IMPACT Centre.
- Russel J. Cooper & Keith R. McLaren, 1992. "An Empirically Oriented Demand System with Improved Regularity Properties," Canadian Journal of Economics, Canadian Economics Association, vol. 25(3), pages 652-68, August.
- Deaton, A. S., 1972. "The estimation and testing of systems of dmeand equations: A note," European Economic Review, Elsevier, vol. 3(4), pages 399-411, December.
- Cooper, Russel J & McLaren, Keith R, 1996. "A System of Demand Equations Satisfying Effectively Global Regularity Conditions," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 359-64, May.
- Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
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