Chipman, John S. and Tian, Guoqiang (1989): Stochastic Specification and MaximumLikelihood Estimation of the Linear Expenditure System. Published in: Advanced Studies in Theoretical and Applied Econometrics , Vol. 15, (1989): pp. 131142.

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Abstract
From the point of view of consumer demand theory the linear expenditure system (LES) provides a convenient model for representing consumer response to price and income and its linearity is one of its most attractive features. But when estimation problems are discussed, the descriptive adjective is more notable for its irony than its accuracy. Since Stone (1954) first calculated parameter estimates for the LES, some stochastic specifications for the system have been given. These specifications, however, ignore some of the requirements implied by economic theory and these methods of estimation lack desirable properties. This paper will deal with the problems of stochastic specification and maximumlikelihood estimation of the LES making full use of the restrictions of economic theory by assuming that the minimum required quantities for the commodities have a threeparameter multivariate lognormal distribution.
Item Type:  MPRA Paper 

Original Title:  Stochastic Specification and MaximumLikelihood Estimation of the Linear Expenditure System 
Language:  English 
Keywords:  Stochastic Specification; MaximumLikelihood Estimation; Linear Expenditure System 
Subjects:  C  Mathematical and Quantitative Methods > C7  Game Theory and Bargaining Theory 
Item ID:  41385 
Depositing User:  Guoqiang Tian 
Date Deposited:  17 Sep 2012 13:35 
Last Modified:  28 Sep 2019 00:27 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/41385 