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Activity Number: 512
Type: Contributed
Date/Time: Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #312948 View Presentation
Title: Parametric Bootstrap Procedures for Small Area Prediction Variance
Author(s): Andreea Erciulescu*+ and Wayne A. Fuller
Companies: Iowa State University and Iowa State University
Keywords: unit level model ; parametric bootstrap ; double bootstrap ; mean squared error of predictor ; auxiliary information
Abstract:

A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a unit level model. It is demonstrated that the proposed procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples. Applications to a logit model under different types of auxiliary information are discussed.


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