Survey Item Nonresponse and its Treatment

Susanne Rässler (susanne.raessler@iab.de) and Regina Riphahn
Additional contact information
Susanne Rässler: IAB Institut für Arbeitsmarkt- und Berufsforschung

Chapter 15 in Modern Econometric Analysis, 2006, pp 215-230 from Springer

Abstract: Abstract One of the most salient data problems empirical researchers face is the lack of informative responses in survey data. This contribution briefly surveys the literature on item nonresponse behavior and its determinants before it describes four approaches to address item nonresponse problems: Casewise deletion of observations, weighting, imputation, and model-based procedures. We describe the basic approaches, their strengths and weaknesses and illustrate some of their effects using a simulation study. The paper concludes with some recommendations for the applied researcher.

Keywords: Multiple Imputation; Complete Case Analysis; Single Imputation; Miss Data Mechanism; Multiple Imputation Procedure (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (19)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Survey item nonresponse and its treatment (2006)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-32693-9_15

Ordering information: This item can be ordered from
http://www.springer.com/9783540326939

DOI: 10.1007/3-540-32693-6_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).