Multiple Imputation: an attempt to retell the evolutionary process

Florian Meinfelder ()

AStA Wirtschafts- und Sozialstatistisches Archiv, 2014, vol. 8, issue 4, 249-267

Abstract: Multiple Imputation describes a strategy for analyzing incomplete data that accounts for uncertainty in the missing data by replacing (imputing) each missing value by several ‘candidates’. The actual implementation of any Multiple Imputation method is typically computationally expensive which is why the concept has only really caught on around the verge of the new millennium, when the first algorithms for Multiple Imputation had become accessible. In this article, we are going to give a rough overview of the shortcomings of methods for handling missing data prior to Rubin’s work in the late 1970s, and we explore the conceptual innovations that might have lead to Multiple Imputation based on an example, where mean imputation is the steppingstone for more advanced methods. The general concept of Multiple Imputation is explained using a simulated trivariate data set, and the imputation model is based on the standard Bayesian linear model, in order to explain the method as illustrative as possible. Copyright The Author(s) 2014

Keywords: Missing data; Multiple Imputation (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11943-014-0151-8 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:astaws:v:8:y:2014:i:4:p:249-267

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11943/PS2

DOI: 10.1007/s11943-014-0151-8

Access Statistics for this article

AStA Wirtschafts- und Sozialstatistisches Archiv is currently edited by Ralf Münnich

More articles in AStA Wirtschafts- und Sozialstatistisches Archiv from Springer, Deutsche Statistische Gesellschaft - German Statistical Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().