A Bayesian Procedure for Imputing Missing Values in Sample Surveys

Abstract

A new method is proposed for imputation of missing values in sample survey data. The procedure uses standard statistical methodology, permits a general specification of the nonresponse process, and does not impose specific model assumptions. Prior information from past similar surveys or from other sources may be incorporated in a routine manner.

Key Words:

• Mean imputation
• Random imputation
• EM algorithm
• Categorical data model
• Dirichlet distribution
• Order restrictions