JSM 2005 Online Program

Abstract #303568

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Activity Number:	263
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #303568
Title:	Estimation for Longitudinal Surveys with Repeated Panels of Observations
Author(s):	Jason C. Legg*+ and Wayne A. Fuller and Sarah Nusser
Companies:	Iowa State University and Iowa State University and Iowa State University
Address:	Dept of Statistics, Ames, IA, 50011, United States
Keywords:
Abstract:	We consider a longitudinal study composed of a first-phase sample with multiple subsets of these units selected for observation over time. One such design is used for the National Resource Inventory, where a core panel of segments is observed yearly and annual supplements are selected using a rotation design. As observations are taken over time, there is a dependency in the data that can be exploited in estimation. We use an estimated generalized least squares (EGLS) approach that utilizes the estimated time dependency to improve estimation of level and change relative to direct survey estimators. Because longitudinal studies often involve a large number of variables and the output of such studies is a dataset with weights for end users, we provide a s consistent jackknife replication variance method for our EGLS estimator. This approach relies on having a consistent jackknife variance estimator for the first-phase sample. The National Resource Inventory will serve as the motivating example for this work.

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