An Iterative Composite Estimator in the Current Population Survey

• Activity Number: 595
• Type: Topic Contributed
• Date/Time: Wednesday, August 3, 2016 : 2:00 PM to 3:50 PM
• Sponsor: Survey Research Methods Section
• Author(s): Yang Cheng* and Zhou Yu and Jun Shao
• Companies: U.S. Census Bureau and East China Normal University and University of Wisconsin
• Keywords: AK Composite Estimator ; Current Population Survey ; Mean Squared Error ; Iterative Estimator

Abstract

In this research, we propose an iterative AK composite estimator for Current Population Survey. Using iterative procedures, we construct a general family of composite estimators, which include the current AK composite estimator as a special case. Our proposed method will reduce the mean squared error of the AK composite estimator when we choose the optimal estimator in this general family. Based on the analytic formula of the mean squared error, we discuss how to choose the optimal tuning coefficients involved in the iterative AK composite estimator. Finally, we will examine the proposed method via comprehensive numerical studies.