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Activity Number: 288
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Government Statistics
Abstract - #309146
Title: Variance Estimations for International Price Program Indexes
Author(s): Te-Ching Chen*+ and Patrick Bobbitt and James A. Himelein Jr. and Steven P. Paben and Moon Jung Cho and Lawrence Ernst
Companies: Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics
Address: 2 Massachusetts Avenue NE Room 3655, Washington, DC, 20212,
Keywords: Variance estimation ; Bootstrap ; Jackknife ; Balance Repeated Replication (BRR) ; Certainty Sampling Units ; Taylor Series
Abstract:

The International Price Program (IPP) collects data on United States trade with foreign nations and publishes monthly indexes on import and export prices of U.S. merchandise and services. Recently, the IPP evaluated different variance estimation methods such as Taylor Series Linearization, bootstrap, jackknife, and BRR, for their applicability to the IPP. We constructed an artificial universe of monthly price changes for items constructed from 13 years of IPP historical data. We then compared the bias and stability of the variance estimation methods for month-to-month, annual, and long-term price changes by drawing from the universe 1000 samples in various merchandise strata.

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Revised September, 2007