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Activity Number: 229
Type: Contributed
Date/Time: Tuesday, August 5, 2008 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #301795
Title: Performance of Bootstrap Variance Estimation for a Dual Frame Household Survey: Evidence from the German Panel Survey
Author(s): Hans Kiesl*+
Companies: Institute for Employment Research
Address: Regensburger Str. 104, Nuremberg, International, 90478, Germany
Keywords: variance estimation ; dual frame survey ; bootstrap
Abstract:

The German Institute for Employment Research has just completed the first wave of a new panel survey focusing on low income households. It is designed as a dual frame survey, the first frame being the register of households receiving some kind of unemployment benefits, the second frame consisting of an address register of the whole population. 6000 households were selected from each frame (with stratified PPS sampling of zip codes in the first stage), resulting in a large variance of design weights between the two samples. In this paper, we describe the sampling design and the construction of final (single frame) weights, and we show the results of a simulation study that tries to evaluate the performance of bootstrap variance estimators for our survey.

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