Automated linking of historical data (Record no. 519100)

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fixed length control field 01673nam a22001457a 4500
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fixed length control field 220127b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Abramitzky, Ran et al
245 ## - TITLE STATEMENT
Title Automated linking of historical data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Journal of Economic Literature
300 ## - PHYSICAL DESCRIPTION
Extent 59(3), Sep, 2021: p.865-918
520 ## - SUMMARY, ETC.
Summary, etc The recent digitization of complete count census data is an extraordinary opportunity for social scientists to create large longitudinal datasets by linking individuals from one census to another or from other sources to the census. We evaluate different automated methods for record linkage, performing a series of comparisons across methods and against hand linking. We have three main findings that lead us to conclude that automated methods perform well. First, a number of automated methods generate very low (less than 5 percent) false positive rates. The automated methods trace out a frontier illustrating the trade-off between the false positive rate and the (true) match rate. Relative to more conservative automated algorithms, humans tend to link more observations but at a cost of higher rates of false positives. Second, when human linkers and algorithms use the same linking variables, there is relatively little disagreement between them. Third, across a number of plausible analyses, coefficient estimates and parameters of interest are very similar when using linked samples based on each of the different automated methods. We provide code and Stata commands to implement the various automated methods. – Reproduced
773 ## - HOST ITEM ENTRY
Main entry heading Journal of Economic Literature
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP ELECTRONIC GOVERNMENT INFORMATION
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2022-01-27 59(3), Sep, 2021: p.865-918 AR126139 2022-01-27 Articles

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