|
Activity Number:
|
312
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 14, 2002 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Government Statistics*
|
| Abstract - #300432 |
|
Title:
|
Accounting for Business Births and Deaths in CES: Bias vs. Net Birth/Death Modeling
|
|
Author(s):
|
Monica Traetow*+ and Jurgen Kropf+ and Sharon Strifas
|
|
Affiliation(s):
|
U.S. Bureau of Labor Statistics and U.S. Bureau of Labor Statistics and U.S. Bureau of Labor Statistics
|
|
Address:
|
2 Massachusetts Avenue, N.E. #4860, Washington, District of Columbia, 20212, United States 2 Massachusetts Avenue, N.E. #4860, Washington, District of Columbia, 20212, United States
|
|
Keywords:
|
bias adjustment ; net birth/death model
|
|
Abstract:
|
The Current Employment Statistics (CES) Survey, conducted monthly by the Bureau of Labor Statistics, estimates payroll employment, hours, and earnings. The survey originated as a quota-based sample, but currently is transitioning to a probability-based sample. Because business births and deaths cannot be captured in a timely manner by the CES survey, they are accounted for by modeling. The bias adjustment factor used for the quota sample is discussed and compared to the net birth/death model used for the probability sample. While the latter sample uses imputation of business deaths to account for business births, an ARIMA time series model, or the net birth/death model, estimates the residual not accounted for by the imputations. In contrast, the bias adjustment factors are derived solely from a regression-adjusted mean-error model. Although both models account for business births, the bias adjustment factor model also accounts for other elements of non-sampling error. The numbers derived from the net birth/death model are compared to the results from the bias adjustment factor model.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2002 program |
