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

Abstract Details

Activity Number: 639
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #308045
Title: On Sample Sizes in a Longitudinal Survey
Author(s): Andrew Vogt*+ and Dhiren Ghosh
Companies: Georgetown University and Synectics for Management Decisions Inc.
Address: , Washington, DC, 20057-1233,
Keywords: autoregression ; Box-Jenkins ; time domain ; parameter estimation

We propose a dynamic approach to determining the sample size in successive survey rounds, rather than a static approach with fixed sample size. Observed data in past rounds is used to update the sample size in the next round. Suppose that in each of n successive surveys, estimates have been made of a population parameter and estimates have also been made of the standard error of the parameter estimates. We consider two scenarios: (i) the estimates and sample sizes are approximately constant up to time n - 1, the sample size at time n is the same as in the past, but the parameter estimate and/or its estimated standard error changes at time n; and (ii) the estimates behave in a regular manner up to time n - 1, the sample size is approximately constant up to time n, and an autoregressive model with white noise matches the sample estimates up to time n -1 but fails at time n.

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