Links and Legibility: Making Sense of Historical U.S. Census Automated Linking Methods
نویسندگان
چکیده
How does handwriting legibility affect the performance of algorithms that link individuals across census rounds? We propose a measure legibility, which we implement at scale for 1940 U.S. Census, and find strikingly wide variation in enumeration-district-level legibility. Using boundary discontinuities enumeration districts, estimate causal effect low on quality linked samples, measured by linkage rates share validated links. Our estimates imply that, eight linking algorithms, perfect would increase rate 5–10 percentage points. Improvements transcription could substantially samples.
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ژورنال
عنوان ژورنال: Journal of Business & Economic Statistics
سال: 2023
ISSN: ['1537-2707', '0735-0015']
DOI: https://doi.org/10.1080/07350015.2023.2205918