This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 358
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #309223
Title: A Generalization of Maximum Entropy Weighting (MAXENT) for the Analysis of Internet Panel Data
Author(s): Silvia Biffignandi*+ and Jasjeet Sekhon and Erin Hartman and Donald B. Rubin
Companies: University of Bergamo and University of California, Berkeley and University of California, Berkeley and Harvard University
Address: via dei Caniana, 2, Bergamo, International, 24127, Italy
Keywords: Internet panel ; sample ; entropy ; weighting ; matching ; full rank estention
Abstract:

A household Internet panel is containing general information of around 12000 households. From this quite exhaustive panel a representative sample is drown, for a survey on Work and schooling. These data are merged to the demographic panel. Different weighting schemes are applied and compared. We use a generalization of maximum entropy weighting (MAXENT) to reweight a sample to match observed population moments. We extend MAXENT to allow for solutions when the data are not full rank and, more importantly, to find the best solution possible when the population moments cannot be perfectly matched or when a perfect match would involve a large degree of extrapolation. Methods to evaluate the degree to which the solution involves extrapolation (i.e., sharply unequal weights) are proposed. Variance estimates are derived for when the weights are used to estimate regression coefficients.


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