JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 675
Type: Topic Contributed
Date/Time: Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract - #309652
Title: State Space Model for the UK Labour Force Survey
Author(s): Duncan Elliott*+ and Ping Zong
Companies: Office for National Statistics and Office for National Statistics
Keywords: state space model ; rotating survey ; unemployment
Abstract:

The UK Labour Force Survey (LFS) publishes a single estimate for each rolling quarter based on a rotating wave design. The purpose of this research is to propose and empirically assess a State Space Model for LFS wave-specific rolling quarterly data with two distinct features. First, the state vector for UK LFS unemployment will not only consider the rolling quarter but will take all relevant monthly periods into account for all state variables in order to capture the characteristics of the rolling quarterly data. Second, the survey error in wave i at time t is correlated with the survey error in wave (i+1) at time t+3 for all waves due to the rotating panel survey design. With the development of such a model we aim to deal with potential discontinuities as a result of changes to the survey design and improve estimates of LFS unemployment. Additional improvements include the use of administrative data on unemployment benefits, and the potential for a monthly unemployment estimate.


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

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please 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.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.