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SUMMARY:Record linkage with complete-count historical census data - Evan R
 oberts (University of Minnesota)
DTSTART:20160913T093000Z
DTEND:20160913T100000Z
UID:TALK67327@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Many areas of social science research benefit from being able 
 to follow  individuals and families across time\, to observe changes in so
 cial behavior  across at least part of the life course. Since the 1920s\, 
 and particularly since  World War II longitudinal social surveys have beco
 me a common tool of social  scientists. Despite their many benefits these 
 surveys only allow us to study a  limited number of birth cohorts\, and fe
 w of these cohorts are entirely deceased.  Comparison across multiple coho
 rts\, and across long periods of the life course  is not always possible a
 s social scientists must follow their cohorts in real  time. <br> <br>Hist
 orical data on past populations allows us to reconstruct life-course  pane
 ls for past cohorts. In the past few years complete transcriptions of cens
 us  data from sequential censuses has become available in several countrie
 s  including Britain\, Canada\, Iceland\, Norway\, Sweden\, and the United
  States. The  Minnesota Population Center is developing tools to create la
 rge datasets of  people linked between at least two censuses. There are mu
 ltiple challenges in  creating this form of historical data\, centering ar
 ound the lack of unique  identifiers. People must be identified by a combi
 nation of characteristics  recorded with error including names\, birthplac
 es\, date of birth\, and ethnic  background. Although linkage rates are lo
 w by comparison to modern longitudinal  surveys it has proved possible to 
 create samples that are reasonably  representative of the origin or termin
 al population. This paper describes the  sources used in creating linked c
 ensus datasets\, the domain-specific issues in  data linkage\, and demonst
 rates some of the applications of historical  longitudinal data in studyin
 g social mobility\, and mortality in the past. <br><br>Related Links <ul> 
 <li><a target="_blank" rel="nofollow">https://usa.ipums.org/usa/complete_c
 ount.shtml</a>  - Description of available US data resources  </li><li><a 
 target="_blank" rel="nofollow">http://www.nappdata.org</a> -  Description 
 of available international data resources&nbsp\;</li></ul>
LOCATION:Seminar Room 1\, Newton Institute
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