This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 580
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #306933
Title: Toward Constructing Confidence Intervals from Business Survey Data: An Empirical Investigation
Author(s): Katherine Jenny Thompson*+
Companies: U.S. Census Bureau
Address: 4600 Silver Hill Road, Washington, DC, 20233,
Keywords: bootstrap ; confidence interval ; replicate variance

Many sample surveys publish confidence intervals (CIs) for key estimates. With a linear estimator and a single-stage design, the literature supports the usage of the t-statistic as the critical value, with degrees of freedom obtained determined by the replication method used for variance estimation or by the stratified survey design, with the possibility of Sattherwaite approximations, or alternatively, the construction of Bootstrap or Bootstrap-t CIs. The theoretical justifications for employing any of these methods assume a linear estimator, and many surveys publish ratio estimates. This paper presents the results of a simulation study that compares the coverage properties of these CIs for a linear estimate and a ratio estimate drawn from a stratified design drawn from a highly skewed population modeled from a business survey, employing several replicate variance estimators.

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