How Well Do Automated Linking Methods Perform? Lessons from US Historical Data
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DOI: 10.1257/jel.20191526
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- 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.
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More about this item
JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
- N31 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - U.S.; Canada: Pre-1913
- N32 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - U.S.; Canada: 1913-
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