IJPAM: Volume 40, No. 3 (2007)

OPTIMAL PAIRING FOR STRATUM COLLAPSE METHODS
WITH INTERVIEWER-LEVEL MEASUREMENT
ERROR SHARED ACROSS STRATA

Moon Jung Cho$^1$, John Eltinge$^2$, Eungchun Cho$^3$
$^{1,2}$U.S. Bureau of Labor Statistics
2 Massachusetts Avenue NE, Washington, DC, 20212, USA
$^1$e-mail: [email protected]
$^2$e-mail: [email protected]
$^3$Division of Mathematics and Sciences
Kentucky State University
Frankfort, KY 40601, USA
e-mail: [email protected]


Abstract.This paper introduces simple variance estimators based on a collapsed-stratum approach. The collapse procedure is intended to ensure that the newly paired primary sampling units do not share a common interviewer, and the modified standard replicate-based variance estimators are expected to take into account both sampling error and interviewer level measurement error. Expanded collapsing procedure is considered to incorporate similar population characteristics. Specific matching algorithms are developed and applied to data from the U.S. Consumer Expenditure Interview Survey.

Received: August 25, 2007

AMS Subject Classification: 68Q20

Key Words and Phrases: collapse method, consumer expenditure interview survey, interviewer effects, nonsampling error, stratified multistage sample design

Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2007
Volume: 40
Issue: 3