Abstract

Policymakers, faced with increasing demands to make decisions at a local level, are turning to statistical agencies to provide local data. Advances in matching technology, combined with the reduced cost of archiving, indexing, storing, and curating large-scale datasets, now mean that it is technically feasible to provide information at fine levels of geographic detail by means of combining administrative and survey datasets at lower cost and with potentially greater coverage. This article describes an approach that uses administrative data from U.S. unemployment insurance records to enhance the coverage and accuracy of work location information in the American Community Survey.

Details

Title
New Approaches to Creating Data for Economic Geographers
Author
Freedman, Matthew; Roemer, Marc
First page
133
Publication year
2008
Publication date
Mar 2008
Publisher
Statistics Sweden (SCB)
ISSN
0282423X
e-ISSN
20017367
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1266794792
Copyright
Copyright Statistics Sweden (SCB) Mar 2008