Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition

David Brownstone

University of California Transportation Center, Working Papers from University of California Transportation Center

Abstract: Modern travel-behavior surveys have become quite complex; they frequently include multiple telephone contacts, travel diaries, and customized stated preference experiments. The complexity and length of these surveys lead to pervasive problems with missing data and non-random response biases. Panel surveys, which are becoming common in transportation research, also suffer from non-random attrition biases. This paper shows how Rubin's (1987a) multiple imputation methodology provides a unified approach to alleviating these problems.

Keywords: Social; and; Behavioral; Sciences (search for similar items in EconPapers)
Date: 1997-03-01
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Citations: View citations in EconPapers (2)

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