{"status":"OK","data":{"id":52755,"identifier":"DVN/YO4WGX","persistentUrl":"https://doi.org/10.7910/DVN/YO4WGX","protocol":"doi","authority":"10.7910","separator":"/","publisher":"Harvard Dataverse","publicationDate":"2010-01-07","storageIdentifier":"s3://10.7910/DVN/YO4WGX","effectiveDatasetFileCountLimit":1000,"datasetFileUploadsAvailable":999,"datasetType":"dataset","locks":[],"latestVersion":{"id":50068,"datasetId":52755,"datasetPersistentId":"doi:10.7910/DVN/YO4WGX","datasetType":"dataset","storageIdentifier":"s3://10.7910/DVN/YO4WGX","versionNumber":2,"internalVersionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionNote":"","deaccessionLink":"","productionDate":"2008","lastUpdateTime":"2010-12-08T16:38:10Z","releaseTime":"2010-12-08T00:00:00Z","createTime":"2010-12-08T16:38:10Z","alternativePersistentId":"hdl:1902.1/12933","publicationDate":"2010-01-07","citationDate":"2010-01-07","effectiveDatasetFileCountLimit":1000,"datasetFileUploadsAvailable":999,"termsOfUse":"Terms of use to agree before downloading .","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Delineating metropolitan areas using land prices [Dataset]"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"E. Bode"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Kiel Institute for the World Economy"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"N/A"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"This paper proposes an approach to delineating metropolitan areas that is more general than the standard approaches in three respects: First, it uses the fraction of land prices attributable to economies of urban agglomeration instead of using commuting intensities as an indicator of economic integration between metropolitan centers and their hinterlands. Second, it identifies metropolitan centers endogenously instead of determining them exogenously. And third, it takes metropolitan subcenters explicitly into account. An empirical illustration is used to show that the approach tends to delineate fewer but larger metropolitan areas in densely populated regions, and smaller metropolitan areas in sparsely populated regions."}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"<a href=\"http://www.economistsonline.org/publications?id=www-econstor-eu:oai:econstor.eu:10419/4244\">View Publication in Economists Online</a><br/> <a href=\"http://hdl.handle.net/10419/4244\">View Publication in EconStor</a>"}}]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Kiel Institute for the World Economy"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2008"},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"Dataverse Network"},"distributorAbbreviation":{"typeName":"distributorAbbreviation","multiple":false,"typeClass":"primitive","value":"DVN"}}]},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2009-06-23"},{"typeName":"timePeriodCovered","multiple":true,"typeClass":"compound","value":[{"timePeriodCoveredStart":{"typeName":"timePeriodCoveredStart","multiple":false,"typeClass":"primitive","value":"1995"},"timePeriodCoveredEnd":{"typeName":"timePeriodCoveredEnd","multiple":false,"typeClass":"primitive","value":"2001"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["survey data"]},{"typeName":"dataSources","multiple":true,"typeClass":"primitive","value":["GENESIS"]}]},"geospatial":{"displayName":"Geospatial Metadata","name":"geospatial","fields":[{"typeName":"geographicCoverage","multiple":true,"typeClass":"compound","value":[{"otherGeographicCoverage":{"typeName":"otherGeographicCoverage","multiple":false,"typeClass":"primitive","value":"West Germany"}}]}]},"socialscience":{"displayName":"Social Science and Humanities Metadata","name":"socialscience","fields":[{"typeName":"universe","multiple":true,"typeClass":"primitive","value":["Metropolitan areas"]}]}},"files":[{"description":"","label":"Table A2.xls","restricted":false,"version":1,"datasetVersionId":50068,"dataFile":{"id":1510001,"persistentId":"doi:10.7910/DVN/YO4WGX/JGMDE3","pidURL":"https://doi.org/10.7910/DVN/YO4WGX/JGMDE3","filename":"Table A2.xls","contentType":"application/vnd.ms-excel","friendlyType":"MS Excel Spreadsheet","filesize":37376,"description":"","storageIdentifier":"s3://dvn-cloud:48711","rootDataFileId":-1,"md5":"ecb2ab67823b1bd65ec084fb0353d802","checksum":{"type":"MD5","value":"ecb2ab67823b1bd65ec084fb0353d802"},"tabularData":false,"creationDate":"2009-06-23","publicationDate":"2010-01-06","lastUpdateTime":"2010-12-08T16:38:10Z","fileAccessRequest":false}}]}}}