{"title":"The Spatial Transferability of Parameters in a Gravity Model of Commuting Flows","authors":"D. McArthur, Gisle Kleppe, I. Thorsen, J. Ubøe","doi":"10.2139/ssrn.1612164","DOIUrl":null,"url":null,"abstract":"This paper studies whether gravity model parameters estimated in one geographic area can give reasonable predictions of commuting flows in another. To do this, three sets of parameters are estimated for geographically proximate yet separate regions in south-west Norway. All possible combinations of data and parameters are considered, giving a total of nine cases. Of particular importance is the distinction between statistical equality of parameters and `practical' equality i.e. are the differences in predictions big enough to matter. A new type test best on the Standardised Root Mean Square Error (SRMSE) and Monte Carlo simulation is proposed and utilised.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Norwegian School of Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1612164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
This paper studies whether gravity model parameters estimated in one geographic area can give reasonable predictions of commuting flows in another. To do this, three sets of parameters are estimated for geographically proximate yet separate regions in south-west Norway. All possible combinations of data and parameters are considered, giving a total of nine cases. Of particular importance is the distinction between statistical equality of parameters and `practical' equality i.e. are the differences in predictions big enough to matter. A new type test best on the Standardised Root Mean Square Error (SRMSE) and Monte Carlo simulation is proposed and utilised.