Change search
ReferencesLink to record
Permanent link

Direct link
Estimation of gravity models by OLS estimation, NLS estimation, Poisson, and Neural Network specifications
Umeå University, Faculty of Social Sciences, Department of Economics.
Umeå University, Faculty of Social Sciences, Department of Economics. Umeå University, Faculty of Social Sciences, Centre for Regional Science (CERUM).
1997 (English)Report (Other academic)
Abstract [en]

Four specifications of gravity models for freight flow prediction are compared. The traditional specification with OLS estimation is compared with non-linear least squares (NLS) estimation as well as with a model where data are assumed to be Poisson distributed. These are compared with a semi-parametric neural network model. Data consists of freight flows between Norwegian counties. The attribute describing a node is population while distance gives the friction on links of transportation. Results show that estimation with OLS and NLS is inferior to Poisson and Neural Network specifications. However, the Poisson model, although advantageous compared to OLS, may still be improved upon. The semiparametric Neural Network does require less of these restrictions to hold and also outperforms the others as a tool for forecast in terms of Root Mean Square Error (RMSE). The NLS model although showed the best performance when estimated on known data.

Place, publisher, year, edition, pages
1997. , 16 p.
, Regional Dimensions Working Paper, ISSN 1400-4526 ; 6
Keyword [en]
Gravity model, Transportation, Freight flows, Spatial interaction, OLS, Poisson-regression, Non-linear regression, Neural network
National Category
URN: urn:nbn:se:umu:diva-24755OAI: diva2:227406
Centrum för regionalvetenskap (CERUM), 90187, Umeå
Financial support has been received from the Swedish Transport and Communications Research Board (KFB)Available from: 2009-07-13 Created: 2009-07-13 Last updated: 2009-07-13Bibliographically approved

Open Access in DiVA

fulltext(184 kB)3014 downloads
File information
File name FULLTEXT01.pdfFile size 184 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Search in DiVA

By author/editor
Westin, Lars
By organisation
Department of EconomicsCentre for Regional Science (CERUM)

Search outside of DiVA

GoogleGoogle Scholar
Total: 3014 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 104 hits
ReferencesLink to record
Permanent link

Direct link