JSM 2005 Online Program

Abstract #302409

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	380
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #302409
Title:	Sample Design for the FDIC's Asset Loss Reserve Project
Author(s):	David W. Chapman*+
Companies:	Federal Deposit Insurance Corporation
Address:	7206 Quantum Leap Lane, Bowie, MD, 20720,
Keywords:	Optimum Allocation ; Ratio Estimation ; Stratification
Abstract:	Each year, the FDIC must include in its financial statement the value of assets it has acquired as the receiver of failed institutions. Since it is not practical to value all these assets, a sample of assets is selected to estimate total recovery value. The sampling and estimation process is referred to as the Asset Loss Reserve (ALR) project. There are some special constraints that make it difficult to optimize the ALR sample design. As an example, the ALR asset universe is a "moving target" because it is continually changing as banks fail and assets are sold. For the project, the asset universe is defined as of June 30, though the financial statement refers to December 31, which creates estimation problems. As a second example, the sample design is a stratified random sample, but many of the current strata contain too few assets. This introduces the possibility of a bias in the separate ratio estimator that traditionally has been used. There are barriers to making improvements in the sample design or estimation methodology used. In this talk, assessments of the impact of these special constraints on the ALR project and approaches used to address these constraints will be discussed.

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