Two Ways of Estimating a Transport Model
| dc.creator | Jansson, Torbjorn | |
| dc.date | 2017-04-01T14:11:17Z | |
| dc.date.accessioned | 2026-07-09T03:25:33Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.18787 | |
| dc.identifier | https://ageconsearch.umn.edu/record/18787/files/dp050001.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/18787 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/532317 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/18787 | |
| dc.title | Two Ways of Estimating a Transport Model | |
| dc.type | Text |