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The Use of Conditional Cost Functions to Generate Estimable Mixed Demand Systems

Ka Wong () and Hoanjae Park

American Journal of Agricultural Economics, 2007, vol. 89, issue 2, 273-286

Abstract: Mixed demand systems have been virtually ignored in empirical work solely because derivation of these systems requires closed forms for both direct and indirect utility functions. This article proposes the alternative of using a conditional cost function to generate empirical mixed demand models. This approach allows the estimation of mixed demand systems, which are explicit in an unobservable variable (utility), but may lack a closed form representation in terms of observable variables such as prices, quantities and expenditure. Results indicate that this approach is operationally feasible, which opens up a wider range of mixed demand specifications in static analyses. Copyright 2007, Oxford University Press.

Date: 2007
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American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

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