This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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358
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #309223 |
Title:
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A Generalization of Maximum Entropy Weighting (MAXENT) for the Analysis of Internet Panel Data
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Author(s):
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Silvia Biffignandi*+ and Jasjeet Sekhon and Erin Hartman and Donald B. Rubin
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Companies:
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University of Bergamo and University of California, Berkeley and University of California, Berkeley and Harvard University
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Address:
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via dei Caniana, 2, Bergamo, International, 24127, Italy
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Keywords:
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Internet panel ;
sample ;
entropy ;
weighting ;
matching ;
full rank estention
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Abstract:
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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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Authors who are presenting talks have a * after their name.
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