Arbeitspapier

Multiple imputation of missing values in the wave 2007 of the IAB Establishment Panel

The basic concept of multiple imputation is straightforward and easy to understand, but the application to real data imposes many implementation problems. To define useful imputation models for a dataset that consists of categorical and of continuous variables with distributions that are anything but normal, contains skip patterns and all sorts of logical constraints is a challenging task. In this paper, we review different approaches to handle these problems and illustrate their successful implementation for a complex imputation project at the German Institute for Employment Research (IAB): The imputation of missing values in one wave of the IAB Establishment Panel.

Language
Englisch

Bibliographic citation
Series: IAB-Discussion Paper ; No. 6/2010

Classification
Wirtschaft
Model Evaluation, Validation, and Selection
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Survey Methods; Sampling Methods
Subject
Multiple imputation
joint modeling
fully conditional specification
IAB Establishment Panel

Event
Geistige Schöpfung
(who)
Drechsler, Jörg
Event
Veröffentlichung
(who)
Institut für Arbeitsmarkt- und Berufsforschung (IAB)
(where)
Nürnberg
(when)
2010

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Drechsler, Jörg
  • Institut für Arbeitsmarkt- und Berufsforschung (IAB)

Time of origin

  • 2010

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