Income missing values imputation: EVS 1999 and 2008
Missing data is a very frequent obstacle in many social science studies. The absence of values on one or more variables can signi?cantly affect statistical analyses by reducing their precision and by introducing selection biases. Being unable to account for these aspects may result in severe misrepresentation of the phenomenon under analysis. For this reason several approaches have been proposed to impute missing values. In present work I will adopt multiple imputation to impute income missing data for Luxembourg in the European Values Study data-set of 1999 and 2008.
|Date of creation:||Jan 2011|
|Date of revision:|
|Contact details of provider:|| Postal: 11, Porte des Sciences, L-4366 Esch-sur-Alzette, G.-D. Luxembourg|
Phone: 00352 / 58 58 55 - 1
Fax: 00352 / 58 58 55 - 700
Web page: http://www.liser.lu
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:irs:cepswp:2011-05. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Library and Documentation)
If references are entirely missing, you can add them using this form.