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Activity Number: 25 - Recent Research on Current Population Survey
Type: Topic Contributed
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #329354 Presentation
Title: Optimal AK Composite Estimators in Current Population Survey
Author(s): Yang Cheng* and Jun Shao and Yu Zhou
Companies: US Census Bureau and University of Wisconsin and East China Normal University
Keywords: Composite Estimator; Current Population Survey; Mean Square Error; Quadratic Form; Sample Rotation

The Current Population Survey (CPS) is a monthly household sample survey consisting of eight rotation groups, so that each selected household will be interviewed for 4 consecutive months and another 4 consecutive months after resting 8 consecutive months. A composite type estimator is adopted in the CPS for the estimation of the monthly population total, which combines sample information from the current month survey and previous months using the fact that 75% households have data for two consecutive months. There are two tuning parameters, A and K, in the composite estimator to decide how to combine the available information, and thus this estimator is called the AK composite estimator. However, the current choices of the tuning parameter values were determined by some empirical studies without theory support. In this talk, we derive a formula of the mean squared error of the AK composite estimator, and show that the formula is a quadratic form of A for each fixed K. Using this result, we propose an easy-to-use method of choosing the tuning parameters A and K. Our method is data-driven, that is, we propose a method to estimate some population quantities in the mean squared e

Authors who are presenting talks have a * after their name.

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