JSM 2005 - Toronto

Abstract #304189

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 269
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #304189
Title: Composite Stratum Variance Estimation for Agriculture Area Frame Sample Allocation
Author(s): Raj Chhikara*+ and Charles R. Perry and Floyd M. Spears
Companies: University of Houston, Clear Lake and National Agricultural Statistics Service and Harding University
Address: 2700 Bay Area Blvd, Houston, TX, 77058, United States
Keywords: Variance Function ; Weighted Model-Fit ; Composite Estimatiom ; NASS Sample Allocation ; Bootstrap Evaluations
Abstract:

In a previous study (2004), we proposed a method of improving upon the area frame sample allocation that NASS/USDA uses for conducting annual agriculture surveys. It first entails modeling of stratum variance as a function of stratum agriculture item totals, then estimating each stratum variance by a linear combination of the direct survey variance estimate and a model-predicted variance estimate. The approach is shown to have superior properties for sample allocation compared to the current one used by NASS. Since the NASS sample allocation is derived from the past three years of survey data, the proposed approach is evaluated using three years data; hence, it parallels the current approach NASS uses for development of its sample allocation. Results are presented from a simulation study conducted to evaluate the model predicted stratum variances and the related NASS estimator and its standard error for major agriculture items.

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Revised March 2005