Least Squares Calibration of the Gravity Model When Intrazonal Flows are Unknown
- 1 November 1983
- journal article
- research article
- Published by SAGE Publications in Environment and Planning A: Economy and Space
- Vol. 15 (11) , 1545-1550
- https://doi.org/10.1068/a151545
Abstract
Some very fast least-squares based calibration procedures for the gravity model have been presented in earlier papers. Since these procedures are inconvenient or impossible to use when diagonal elements of the base period origin—destination (O—D) matrix are unavailable, one of the procedures has been modified to handle such situations. This modified procedure is described in this paper and then applied to two O—D tables—one for food grains and the other for coal. For these two data sets the procedure yields estimates which are virtually identical to corresponding maximum likelihood estimates.Keywords
This publication has 10 references indexed in Scilit:
- A statistical theory of spatial distribution modelsPublished by Elsevier ,2002
- Estimating gravity model parameters: A simplified approach based on the odds ratioTransportation Research Part B: Methodological, 1983
- A New Set of Spatial-Interaction Models: The Theory of Competing DestinationsEnvironment and Planning A: Economy and Space, 1983
- A new set of spatial-interaction models: the theory of competing destinationsEnvironment and Planning A: Economy and Space, 1983
- Selected procedures for calibrating the generalized gravity modelPapers in Regional Science, 1981
- Intransitivity, the Spatial Interaction Model, and US Migration StreamsEnvironment and Planning A: Economy and Space, 1980
- Transitivity and United States Migration Streams: A CommentEnvironment and Planning A: Economy and Space, 1980
- A Critical Review of the Development of the Gravity ModelInternational Regional Science Review, 1979
- Transitivity, Spatially Separable Utility Functions, and United States Migration Streams, 1935–1970Environment and Planning A: Economy and Space, 1978
- The Calibration of Trip Distribution ModelsEnvironment and Planning A: Economy and Space, 1969