A method of weighting adjustment for survey data subject to nonignorable nonresponse

Arbeitspapier

Weighting adjustment is a standard quasi-randomization approach for survey data subject to nonresponse (Little, 1986). The existing methods are typically based on the assumption that nonresponse is independent of the survey variable conditional to the auxiliary variables used to form the adjustment cells. In this paper we consider nonignorable nonresponse which is independent of certain auxiliary information conditional to the variable of interest. We estimate the size of the sample adjustment cells using a method of moment conditional to the sample. The method relies on only the nonresponse mechanism, and is independent of the sample design. In variance estimation, we evaluate the nonresponse effect on estimation and design, analogously to the concept of design effect. By comparing the nonresponse effects under a nonignorable model against those under an ignorable one, we obtain a means of measuring the effect of nonignorability. We motivate and illustrate our approach for estimation of household composition.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Discussion Papers ; No. 311

Classification and Topics

• Classification: Wirtschaft
• Subject: weighting adjustment ; nonresponse effect ; effect of nonignorability ; stratified simple random sampling ; post-stratification

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Zhang, Li-Chun
• Event: Veröffentlichung
• (who): Statistics Norway, Research Department
• (where): Oslo
• (when): 2001

Further information

• Handle: http://hdl.handle.net/10419/192293
• Last update: 10.03.2025, 11:42 AM CET