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 observations of 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.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by University of Bonn, Institute for Food and Resource Economics in its series Discussion Papers with number
18787.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
James E. Anderson & Eric van Wincoop, 2004.
"Trade Costs,"
NBER Working Papers
10480, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions:
James E. Anderson & Eric van Wincoop, 2004.
"Trade Costs,"
Journal of Economic Literature,
American Economic Association, vol. 42(3), pages 691-751, September.
[Downloadable!] (restricted)