It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer