Estimating censored and non homothetic demand systems: the generalized maximum entropy approach

Fabienne Femenia and Alexandre Gohin

No 331575, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

Abstract: The econometric estimation of zero censored demand system faces major difficulties. The virtual price approach pioneered by Lee and Pitt in an econometric framework is theoretically consistent but empirically feasible only for homothetic demand system and even may fail to converge depending on initial conditions. In this paper we propose to expand on this approach by relying on the generalized maximum entropy concept instead of the Maximum Likelihood paradigm. The former is robust to the error distribution while the latter must stick with a normality assumption. Accordingly the econometric specification of censored demand systems with virtual prices is made easier even with non homothetic preferences defined over several goods. Illustrative Monte Carlo sampling results show its relative performance.

Keywords: Demand and Price Analysis; Agricultural and Food Policy (search for similar items in EconPapers)
Pages: 24
Date: 2007
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Related works:
Working Paper: Estimating censored and non homothetic demand systems: the generalized maximum entropy approach (2009)
Working Paper: Estimating censored and non homothetic demand systems: the generalized maximum entropy approach (2009)
Working Paper: Estimating censored and non homothetic demand systems: the generalized maximum entropy appoach (2007)
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