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Multi-year Data Averaging

Challenge Issues Challenge Cases


Actual Earnings Use
Average Statistics
Basic Analysis Methodology
Broad Support
Census Bureau Caveat
Chronic Disability
Corcione Article
CPS Data Validity
CPS Definition of Work Disability
CPS Self-reported Disability
CPS Use by Other Researchers
Daubert/Kumho Standards - WLE
Employment, Earnings, & Disability
Expert Qualifications
First Work Disability Question
Hale Article
Hamel Letter
Heterogeneity
Medical Impairment Ratings
Multi-year Data Averaging
Offset Use
Possibility of Future Disability
Residual Capacity
Sample Selection Bias
Skoog & Toppino Article
Temporary Disability
VALE Software
Veteran's Disability

 

Usual Opposition Position
Some feel that it is inappropriate to average multiple years of CPS data to derive statistics regarding people with a work disability.
 
VEI Position
To compute the worklife expectancies in The New Worklife Expectancy Tables, PE rates were extracted from the March supplements of the CPS for 1992 through 2001.  Data from these 10 years were averaged by weighting the individual rates of participation and employment by the estimated population size in each year.  Use of a 10-year weighted average provides two benefits:
  • Individual cells with small sample sizes are aggregated, making the statistic more robust.
  • Economic cycles are averaged, limiting distortion by using a single favorable or unfavorable employment market as a predictor of future expectancies.
Joining multiple years of data was supported by John McNeil, a retired Special Assistant for Disability Statistics with the Census Bureau, in “Roundtable on Earnings and Work Experience of Disabled Workers - Data for Assessment” at a presentation given during the Southern Economic Association Annual Meeting in November 2000.  Skoog & Toppino (1999) reviewed the six years of data used in the 1998 edition of The New Worklife Expectancy Tables and tested for a trend in employment rates.  Not surprisingly (in years of increasing economic prosperity), they found a time factor with statistical significance.  They claim this to be a trend that invalidates the data, maintaining that the years must display a constant mean to be usable.

This statistical testing, however, is inappropriate.  To use six data points from a prosperous economy and claim that the results constitute a trend, as opposed to a cycle, defies logic.  Six years are certainly insufficient to differentiate between the two.  To point out that the trended data cannot be used implies one of two remedies:

  • The Tables should use only the most recent data.  This would suggest that if The Tables were developed in a year with an unusually favorable economy, that economy should be used to predict all the remaining years of a person’s worklife.
  • The Tables should include a trend prediction.  Again, in favorable economic times, this might have the current conditions continuing ad infinitum, potentially projecting 101% employment at a future date.

Obviously, the statistical test and resulting conclusions are both inappropriate.  

 
Related Challenges
     
 
Related Articles
Corcione (1995) Corcione (1996) Gamboa & Holland (2005)
Gibson (2001) Gibson & Tierney (2000) Gluck (1996)
Skoog & Toppino (1999)    

Last modified: Monday May 23, 2005 09:44 AM


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