JSM 2015 Online Program

Online Program Home
My Program

Abstract Details

Activity Number: 134
Type: Contributed
Date/Time: Monday, August 10, 2015 : 8:30 AM to 10:20 AM
Sponsor: Government Statistics Section
Abstract #316640 View Presentation
Title: Standardizing Time in Payroll Data Using Splines
Author(s): Jack Lothian*
Companies: Statistics New Zealand
Keywords: Benchmarking ; Calendarization ; Administrative data ; Cubic splines ; Payroll data

Statistics New Zealand is in the midst of implementing its 2010-2020 Strategic Plan that will transform how the agency functions. The "administrative data first" philosophy is a critical component in the transformation process and the Business Payroll Tax (PAYE) data is an important input dataset for business and national accounts surveys. Standardized PAYE data can be used in sub-annual surveys to enhance survey data, improve editing and implement calibration. These processes could potentially reduce response burden and collection costs plus improve quality. However, the use of administrative data poses major challenges. The data covers a melange of varying and overlapping time intervals. We propose a calendarization method based on interpolating the cumulated flows with splines that provides data with standardization time intervals and short-term forecasts. The methodology improves the timeliness and quality of the PAYE data and increases the willingness of the survey programs to embrace tax data.

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

Back to the full JSM 2015 program

For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home