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Multiple imputation of household income in the first wave of PASS

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Author Info

  • Jaenichen, Ursula

    ()
    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

  • Sakshaug, Joseph

    ()
    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

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    Abstract

    "The report summarizes the results of a project aimed at the completion of household income in the first wave of the 'Panel Arbeitsmarkt und Soziale Sicherung' (PASS) by using multiple imputation routines. The imputation approach chosen is an iterative procedure combining individual information on respondents and non-respondents with household level information. The report discusses the various steps of the imputation procedure and demonstrates some quality aspects of the imputed data." (Author's abstract, IAB-Doku) ((en)) Additional Information further information about PASS

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    File URL: http://doku.iab.de/fdz/reporte/2012/MR_02-12_EN.pdf
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    Bibliographic Info

    Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Methodenreport with number 201202_en.

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    Length: 26 pages
    Date of creation: 29 Mar 2012
    Date of revision:
    Handle: RePEc:iab:iabfme:201202_en

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    References

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    1. Joachim R. Frick & Markus M. Grabka & Olaf Groh-Samberg, 2010. "Dealing with Incomplete Household Panel Data in Inequality Research," Discussion Papers of DIW Berlin 991, DIW Berlin, German Institute for Economic Research.
    2. Patrick Royston, 2009. "Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables," Stata Journal, StataCorp LP, vol. 9(3), pages 466-477, September.
    3. Patrick Royston & John B. Carlin & Ian R. White, 2009. "Multiple imputation of missing values: New features for mim," Stata Journal, StataCorp LP, vol. 9(2), pages 252-264, June.
    4. Jörg Drechsler, 2011. "Multiple imputation in practice—a case study using a complex German establishment survey," AStA Advances in Statistical Analysis, Springer, vol. 95(1), pages 1-26, March.
    5. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.
    6. Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LP, vol. 5(2), pages 188-201, June.
    7. Patrick Royston, 2005. "MICE for multiple imputation of missing values," United Kingdom Stata Users' Group Meetings 2005 02, Stata Users Group.
    8. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December.
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