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Two ways of estimating a transport model

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Author Info
Jansson, Torbjorn
Abstract

In this article, it is shown how the parameters of a transport model can be estimated in a way that, in contrast to previously used methods, utilizes regional prices as well as of trade costs. The proposed method uses bi-level programming to minimize a weighted least squares’' criterion under the restriction that the estimated parameters satisfy the Kuhn-Tucker conditions for an optimal solution of the transport model. We use Monte-Carlo simulations to trace out some properties of the estimator and compare it with a traditional calibration method. The analysis shows that the proposed technique estimates prices as well as trade costs more efficiently.

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Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2005 Annual meeting, July 24-27, Providence, RI with number 19473.

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Date of creation: 2005
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Handle: RePEc:ags:aaea05:19473

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Keywords: Public Economics;

References listed on IDEAS
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  1. James E. Anderson & Eric van Wincoop, 2004. "Trade Costs," NBER Working Papers 10480, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press for the Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
  3. Ramon G. Guajardo & Homero A. Elizondo, 2003. "North American tomato market: a spatial equilibrium perspective," Applied Economics, Taylor and Francis Journals, vol. 35(3), pages 315-322, January. [Downloadable!] (restricted)
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