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Linking Household Survey and Administrative Record Data: What Should the Matching Variables Be?

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Author Info

  • Stephen P. Jenkins
  • Peter Lynn
  • Annette Jäckle
  • Emanuela Sala

Abstract

Linkages of household survey responses with administrative data may be based on unique individual identifiers or on survey respondent characteristics. The benefits gained from using unique identifiers need to be assessed in the light of potential problems such as non-response and measurement error. We report on a study that linked survey responses to UK government agency records on benefits and tax credits in five different ways. One matched on a respondent-supplied National Insurance Number and the other four used different combinations of sex, name, address, and date of birth. As many linkages were made using matches on sex, date of birth, and post-code, or on sex, date of birth, first name and family name, as were made using matches on self-reported National Insurance Number, and the former were also relatively accurate when assessed in terms of false positive and false negative rates. The five independent matching exercises also shed light on the potential returns from hierarchical and pooled matching.

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File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.43285.de/dp489.pdf
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Bibliographic Info

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 489.

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Length: II, 22 p.
Date of creation: 2005
Date of revision:
Handle: RePEc:diw:diwwpp:dp489

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Related research

Keywords: Record linkage; Matching; National Insurance number; Measurement error;

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References

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  1. Steven Haider & Gary Solon, 2000. "Non Random Selection in the HRS Social Security Earnings Sample," Working Papers, RAND Corporation Publications Department 00-01, RAND Corporation Publications Department.
  2. Simon Burgess & Deborah Wilson, 2004. "Ethnic Segretation in England's Schools," CASE Papers, Centre for Analysis of Social Exclusion, LSE 079, Centre for Analysis of Social Exclusion, LSE.
  3. repec:ese:iserwp:2004-14 is not listed on IDEAS
  4. repec:ese:iserwp:2000-38 is not listed on IDEAS
  5. Annette Jäckle & Emanuela Sala & Stephen P. Jenkins & Peter Lynn, 2005. "Validation of Survey Data on Income and Employment: The ISMIE Experience," Discussion Papers of DIW Berlin 488, DIW Berlin, German Institute for Economic Research.
  6. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, StataCorp LP, vol. 3(3), pages 278-294, September.
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Cited by:
  1. Hartmann, Josef & Krug, Gerhard, 2007. "Verknüpfung von Befragungs- und Prozessdaten : Selektivität durch fehlende Zustimmung der Befragten?," IAB Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] 200713, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  2. repec:ese:iserwp:2005-16 is not listed on IDEAS
  3. repec:ese:iserwp:2004-14 is not listed on IDEAS
  4. repec:ese:iserwp:2004-28 is not listed on IDEAS
  5. repec:ese:iserwp:2004-12 is not listed on IDEAS
  6. repec:ese:iserwp:2004-27 is not listed on IDEAS

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