Online Program Home
My Program

Abstract Details

Activity Number: 492
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #320839 View Presentation
Title: Calibration Weighting for Nonresponse with Proxy Frame Variables (So that Unit Nonresponse CanBe Missing Not at Random)
Author(s): Phil Kott*
Companies: RTI International
Keywords: Selection bias ; Shadow variable ; Model variable ; WTADJX ; Weight-adjustment function

When adjusting for unit nonresponse in a survey, it is common to assume that the response/nonresponse mechanism is a function of variables known either for the entire sample before unit response or at the aggregate level for the frame or population. Often, however, some of the variables governing the response/nonresponse mechanism can only be proxied by variables on the frame while they are measured (more) accurately on the survey itself. For example, an address-based sampling frame may contain area-level estimates for the median annual income and the fraction home ownership in a Census block group, while a household's income category and ownership status are reported on the survey itself for the housing units responding to the survey. A relatively new calibration-weighting technique employed by the WTADJX procedure in SUDAAN® 11 allows a statistician to calibrate the sample using proxy variables while assuming the response/ nonresponse mechanism is a function of the analogous survey variables. We will demon-strate how this works with data from the Residential Energy Consumption Survey National Pilot, a nationally representative web-and-mail survey of U.S. households sponsored by the U.S. Energy Information Administration.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association