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Public Opinion Quarterly Advance Access published online on November 3, 2009

Public Opinion Quarterly, doi:10.1093/poq/nfp064
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© The Author 2009. Published by Oxford University Press on behalf of the American Association for Public Opinion Research. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Composite Estimates from Incomplete and Complete Frames for Minimum-Mse Estimation in a Rare Population

An Application to Families with Young Children

Bonnie Ghosh-Dastidar, Marc N. Elliott, Amelia M. Haviland and Lynn A. Karoly

Address correspondence to Marc N. Elliott; e-mail: elliott{at}rand.org.

Random digit dialing (RDD) can be costly for a rare population, but inexpensive convenience samples are unrepresentative by themselves. We combine biased estimates from an incomplete frame (a listed sample) with RDD estimates in a way that improves the accuracy (Mean Squared Error, MSE) of the RDD estimates compared to what would have been achieved without the incomplete frame data. Elliott and Haviland (2007) discuss this estimator when the bias of the incomplete frame estimator is known and discuss uncertainty in estimating bias; we describe an application that estimates incomplete frame bias relative to the RDD estimate for each parameter of interest, and conditions on that estimate. We discuss the extent to which this approach improves MSE relative to RDD alone and relative to a common alternative-stratified estimation based on whether a case appears in the incomplete frame. We surveyed 1,002 RDD and 1,023 listed households and examined the impact of incorporating listed estimates on MSE. Conditional on the bias estimate, MSE improved substantially for many outcomes because the estimated bias of listed sample estimates relative to RDD was small for most outcomes. For thirty-eight of forty-one estimates, including the listed sample (doubling the nominal sample size) produced MSEs equivalent to RDD sample sizes 1.22–1.85 times as large as the actual RDD sample size. Because the cost per listed complete was 20 percent of the cost per RDD complete, cost per effective sample size decreased relative to RDD alone for all but three estimates.


BONNIE GHOSH-DASTIDAR is with RAND, 1200 South Hayes Street, Arlington, VA 22202, USA. MARC N. ELLIOTT is with RAND, 1776 Main Street, Santa Monica, CA 90401, USA. AMELIA M. HAVILAND is with RAND, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA 15213, USA. LYNN A. KAROLY is with RAND, 1200 South Hayes Street, Arlington, VA 22202, USA. This study was funded through grants to RAND Corporation by David and Lucile Packard Foundation, W. K. Kellogg Foundation, The Pew Charitable Trusts through the National Institute for Early Education Research, The W. Clement and Jessie V. Stone Foundation, and Los Angeles Universal Preschool. The authors would like to thank Jacquelyn Chou for assistance with the preparation of the manuscript.


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