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Specification and Estimation of Regular Inverse Demand Systems: A Distance Function Approach

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  • K. K. Gary Wong
  • Keith R. McLaren

Abstract

To allow realistic policy simulations in a changing environment, inverse demand systems must remain regular over substantial variations in quantities. The distance function is a convenient vehicle for generating such systems. While its use directly yields Hicksian inverse demand functions, those functions will not usually have an explicit representation in terms of the observable variables. However, this problem need not hinder estimation and can be solved by using a numerical inversion estimation approach. This article develops the formal theory for using distance functions in this context and demonstrates the operational feasibility of the method. Copyright 2005, Oxford University Press.

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File URL: http://hdl.handle.net/10.1111/j.1467-8276.2005.00772.x
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Bibliographic Info

Article provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.

Volume (Year): 87 (2005)
Issue (Month): 4 ()
Pages: 823-834

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Handle: RePEc:oup:ajagec:v:87:y:2005:i:4:p:823-834

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Cited by:
  1. Krishna Pendakur & Stefan Sperlich, 2010. "Semiparametric estimation of consumer demand systems in real expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 420-457.
  2. John Muellbauer & Gavin Cameron & John Muellbauer, 2006. "Was There A British House Price Bubble? Evidence from a Regional Panel," Economics Series Working Papers 276, University of Oxford, Department of Economics.
  3. Lee, Young-Jae & Kennedy, P. Lynn, 2013. "Quantity And Exchange Rate Effects On U.S. Trout Prices," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142133, Southern Agricultural Economics Association.
  4. Sooriyakumar Krishnapillai, 2012. "Impact of NAFTA on the Preference for Meat Consumption in USA: An Inverse Demand System Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 2(1), pages 79-84.
  5. Lee, Young-Jae & Kennedy, P. Lynn, 2008. "An Examination of Inverse Demand Models: An Application to the U.S. Crawfish Industry," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(2), October.
  6. Roberto ESPOSTI, 2007. "On the Decline of Agriculture. Evidence from Italian Regions in the Post-WWII Period," Working Papers 300, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  7. Färe, Rolf & Grosskopf, Shawna & Hayes, Kathy J. & Margaritis, Dimitris, 2008. "Estimating demand with distance functions: Parameterization in the primal and dual," Journal of Econometrics, Elsevier, vol. 147(2), pages 266-274, December.

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