Design‐Adjusted Regression with Selectivity Bias

R. L. Chambers

Journal of the Royal Statistical Society Series C, 1988, vol. 37, issue 3, 323-334

Abstract: Design adjustment is the process by which standard parameter estimation procedures are modified for use with sample survey data. A common assumption when carrying out this adjustment is that sample selection effects can be ignored. Sample non‐response, however, makes such an assumption highly questionable. This paper describes an approach to design‐adjusted regression when sample non‐response cannot be ignored. A simple censoring model is assumed to account for the response behaviour of the sample, and this model, along with sample design information, is used in the design adjustment process. Two applications are given.

Date: 1988
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