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Identity in the Census

Identity in the Census. Finding people in more than one. What is Identity?. A unique set of identifiers. What is an Identifier?. Any measurable attribute In Census - Name, Age, Sex, Birth State AND Household characteristics. Basic Record Linking. Generalize identifiers to block

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Identity in the Census

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  1. Identity in the Census Finding people in more than one

  2. What is Identity? • A unique set of identifiers

  3. What is an Identifier? • Any measurable attribute • In Census - Name, Age, Sex, Birth State • AND Household characteristics

  4. Basic Record Linking • Generalize identifiers to block • Compare within a block more specifically to match Why? • GEDCOM was about exchange – we’ve abandoned that in favor of linkage • Local conclusions, remote evidence

  5. Household Characteristics? • Oldest male • Oldest female • Oldest boy • Oldest girl

  6. Types of Identifiers • Cultural • Biological

  7. Cultural Identifiers • Surname • Given Name • Family Role

  8. Biological Identifiers • Sex • Age • Parent / Child roles

  9. Coding Identifiers • Soundex • Initials • Birth year

  10. Why code identifiers? • Because matching doesn’t work • Expressions of identifiers in records vary – granularity etc. • To speed up comparisons by allowing blocking on a matched code

  11. Examples: Carroll Co AR • 1860 and 1870 • Surnames beginning with K and L

  12. What kind of keys did you use? • qry1860OldWoman • Sex (f) • Initial of Surname • Initial of coded first name • Estimated birth year / 5 • Example: 1860 Mary Keelan age 13 • fKM369

  13. 1860 Family • John • KEYES • 30 • Hannah • KEYES • 27 • Housekey = mKJ366fKH366 • Less granular key = mKJfKH

  14. Easy Match • Surname Soundex • First initial • Birth Year • Easy List

  15. Other Matches • Universe 778 records • Key 2 – mKJ - 449 matches • EasyList – 78 matches • Key 3 – mKJ382 – 38 matches • Mom and oldest boy – key3 – 8 matches – 1 right • Housekey - mLA368fLE368 – 4 matches – 3 right

  16. Work to do • Measure the effectiveness of different sets of identifiers • Scale the algorithms to larger data sets • Abandon linking for a Cartesian Event Space

  17. Example of LeMaster Numbers

  18. Questions

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