Optimal Probabilistic Record Linkage: Best Practice for Linking Employers in Survey and Administrative Data
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References listed on IDEAS
- Martha Bailey & Connor Cole & Morgan Henderson & Catherine Massey, 2017. "How Well Do Automated Linking Methods Perform? Lessons from U.S. Historical Data," NBER Working Papers 24019, National Bureau of Economic Research, Inc.
- Kevin L. McKinney & Andrew S. Green & Lars Vilhuber & John M. Abowd, 2017. "Total Error and Variability Measures with Integrated Disclosure Limitation for Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in On The Map," Working Papers 17-71, Center for Economic Studies, U.S. Census Bureau.
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- Nada Wasi & Sasiwimon Warunsiri Paweenawat & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2019. "Labor Income Inequality in Thailand: the Roles of Education, Occupation and Employment History," PIER Discussion Papers 117, Puey Ungphakorn Institute for Economic Research, revised Dec 2019.
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KeywordsProbabilistic record linkage; survey data; administrative data; multiple imputation; measurement error; nonresponse;
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