Multiple imputation of household income in the first wave of PASS
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
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Methodenreport with number 201202_en.
Length: 26 pages
Date of creation: 29 Mar 2012
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-10 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Joachim R. Frick & Markus M. Grabka & Olaf Groh-Samberg, 2012.
"Dealing With Incomplete Household Panel Data in Inequality Research,"
Sociological Methods & Research,
, vol. 41(1), pages 89-123, February.
- Frick, Joachim R. & Grabka, Markus M. & Groh-Samberg, Olaf, 2012. "Dealing With Incomplete Household Panel Data in Inequality Research," EconStor Open Access Articles, ZBW - German National Library of Economics.
- 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.
- Joachim R. Frick & Markus M. Grabka & Olaf Groh-Samberg, 2010. "Dealing with Incomplete Household Panel Data in Inequality Research," SOEPpapers on Multidisciplinary Panel Data Research 290, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December.
- 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.
- Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LP, vol. 5(2), pages 188-201, June.
- 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.
- 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.
- Patrick Royston, 2005. "MICE for multiple imputation of missing values," United Kingdom Stata Users' Group Meetings 2005 02, Stata Users Group.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IAB, Geschäftsbereich Dokumentation und Bibliothek).
If references are entirely missing, you can add them using this form.