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

Abstract Details

Activity Number: 85
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #308131
Title: Methods for Optimizing the Overlap of Two Consecutive Surveys While Preserving First-Order Inclusion Probabilities
Author(s): Ioana Schiopu Kratina*+ and Jean-Marc Fillion and Lenka Mach and Philip T. Reiss
Companies: Statistics Canada and Statistics Canada and Statistics Canada and New York University
Address: R.H. Coats Building, 15 floor, section C, Ottawa, ON, K1A 0T6, Canada
Keywords: sampling ; expected overlap ; first order inclusion probabilities
Abstract:

Statistical agencies often need to coordinate the selection of samples drawn from overlapping populations so as to optimize (maximize or minimize) the expected overlap, subject to constraints determined by the survey designs. For instance, maximizing the expected overlap between repeated samples can increase the precision of estimates of change between two occasions and reduce the costs of first contacts. Minimizing the expected overlap can avoid overburdening respondents with multiple surveys. We would like to present two new methods for optimizing the overlap of two consecutive surveys, which preserve the first order inclusion probabilities (this ensures that the estimators are unbiased). Our methods attempt to control the size of the overlap on each selected sample. We also intend to quantify the impact of the size of the overlap on the variance of the estimators of change.


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