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Peter Schilling

U.S. Census Bureau



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Redouane Betrouni

U.S. Census Bureau



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Bac Tran

U.S. Census Bureau



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620 – Sampling and Survey Methods

The Performance of the Empirical Best Linear Unbiased Predictor in Annual Survey of Local Government Finances

Sponsor: Government Statistics Section
Keywords: Annual Survey of State and Local Government Finances, EBLUP, Calibration

Peter Schilling

U.S. Census Bureau

Redouane Betrouni

U.S. Census Bureau

Bac Tran

U.S. Census Bureau

The Annual Survey of Local Government Finances (ALFIN) is conducted by the U.S. Census Bureau and provides statistics about the financial activities of state and local governments across the nation. The Economic Statistical Methods Division currently uses a combination of empirical best prediction, Calibration, and Horvitz-Thompson methods to estimate these statistics. These three estimators are evaluated through a Monte Carlo simulation experiment using the two census years data 2007 and 2012. The performance of the three estimators is compared through their mean squared errors and relative bias.

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