Abstract #301742

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JSM 2002 Abstract #301742
Activity Number: 107
Type: Contributed
Date/Time: Monday, August 12, 2002 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods*
Abstract - #301742
Title: A Weighted Jackknife Method in Small-area Estimation
Author(s): Shijie Chen*+ and Partha Lahiri
Affiliation(s): RTI International and University of Nebraska/Univ. of Maryland
Address: 3040 Cornwallis Road, Research Triangle Park, North Carolina, 27709, USA
Keywords: small-area estimation ; Jackknife ; weighted ; Fay-Herriot ; SAIPE
Abstract:

In this paper, we consider a weighted jackknife method to estimate the mean square error (MSE) of empirical best linear unbiased predictor (EBLUP) of a small-area mean for the well-celebrated Fay-Herriot model. The proposed MSE estimator improves on the existing MSE estimators and is robust under a variety of situations. For example, the proposed MSE estimator performs better than the corresponding Taylor series MSE estimator when the number of small-areas is small or when for a particular small-area the model mean differs from the actual observations considerably. We illustrate our methodology for the U. S. Census Bureau's SAIPE program.

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