Online Program Home
My Program

Abstract Details

Activity Number: 161
Type: Topic Contributed
Date/Time: Monday, August 1, 2016 : 10:30 AM to 12:20 PM
Sponsor: Government Statistics Section
Abstract #320021 View Presentation
Title: Improving Techniques to Use Panel Data to Produce Cross-Sectional Estimates
Author(s): Yan Liu* and Michael Strudler and Janette Wilson and Young Lim
Companies: IRS/SOI and IRS/SOI and IRS/SOI and IRS/SOI
Keywords: Calibration weighting ; cross-sectional estimation ; panel sample ; R language

The Statistics of Income Division (SOI) of the IRS started a panel sample of individual returns in 2007 for longitudinal analyses. SOI edits Sales of Capital Assets (SOCA) transactions reported on individual tax returns for this panel. This panel sample, together with a small yearly refreshment sample has also been used for cross-sectional SOCA estimations. This has allowed us to get annual SOCA estimates with a small expense every year. The cross-sectional weights are derived using weight calibration method. The budget allows SOI to select and edit a SOCA cross-sectional sample once every five years, most recently in 2012. This paper compares the 2012 SOCA estimations based on the panel sample to those based on the 2012 SOCA cross-sectional sample and learns how to better weight the panel returns for SOCA cross-section purposes.

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

Back to the full JSM 2016 program

Copyright © American Statistical Association