{"title":"首先对比利时经济的计量经济区域模型进行实验","authors":"H. Glejser, G. Van Daele, M. Lambrecht","doi":"10.1016/0034-3331(73)90014-6","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents an econometric nonlinear model of the 9 Belgian provinces. There are 7 equations for each province, thus 63 equations in all. The variables used are defined on three levels: the province considered, the other provinces (some or all of them), the rest of the world. The estimation procedures go from ordinary least squares to methods used for generalized variance components models and to a scanning maximum likelihood method.</p></div>","PeriodicalId":101068,"journal":{"name":"Regional and Urban Economics","volume":"3 3","pages":"Pages 301-314"},"PeriodicalIF":0.0000,"publicationDate":"1973-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0034-3331(73)90014-6","citationCount":"6","resultStr":"{\"title\":\"First experiments with an econometric regional model of the Belgian economy\",\"authors\":\"H. Glejser, G. Van Daele, M. Lambrecht\",\"doi\":\"10.1016/0034-3331(73)90014-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper presents an econometric nonlinear model of the 9 Belgian provinces. There are 7 equations for each province, thus 63 equations in all. The variables used are defined on three levels: the province considered, the other provinces (some or all of them), the rest of the world. The estimation procedures go from ordinary least squares to methods used for generalized variance components models and to a scanning maximum likelihood method.</p></div>\",\"PeriodicalId\":101068,\"journal\":{\"name\":\"Regional and Urban Economics\",\"volume\":\"3 3\",\"pages\":\"Pages 301-314\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1973-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0034-3331(73)90014-6\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional and Urban Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0034333173900146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional and Urban Economics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0034333173900146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
First experiments with an econometric regional model of the Belgian economy
This paper presents an econometric nonlinear model of the 9 Belgian provinces. There are 7 equations for each province, thus 63 equations in all. The variables used are defined on three levels: the province considered, the other provinces (some or all of them), the rest of the world. The estimation procedures go from ordinary least squares to methods used for generalized variance components models and to a scanning maximum likelihood method.
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