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Abstract Details
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Activity Number:
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625
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #306130 |
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Title:
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Regression Coefficient Estimation in Dual Frame Surveys
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Author(s):
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Yan Lu*+
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Companies:
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University of New Mexico
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Address:
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9231 Apache Pine Way NE, Albuquerque, NM, 87122, United States
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Keywords:
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dual frame surveys ;
cross validation ;
prediction error ;
regression coefficient ;
simulations
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Abstract:
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Dual frame surveys, in which independent samples are selected from two frames to decrease survey costs or to improve coverage, can present challenges for regression coefficient estimation because of complex designs and unknown degree of overlap. In this research, we developed four regression coefficient estimators in dual frame surveys. Simulation results show that all the proposed methods work well.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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