This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 89
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #307640
Title: Using Point and Intervalized Data in Occupational Employment Statistics Survey Estimates
Author(s): David Salvatore Piccone*+ and Teresa Elizabeth Hesley
Companies: Bureau of Labor Statistics and Bureau of Labor Statistics
Address: 2 Massachusetts Ave NE, Washington DC, DC, 20212,
Keywords: Establishment survey ; estimation ; Occupational Employment Statistics ; wage point data

The Occupational Employment Statistics (OES) survey conducted by the U.S. Bureau of Labor Statistics produces detailed occupational employment and wage estimates. To reduce response burden, the OES form asks respondents to report the number of employees by wage interval. Many of OES's larger respondents, such as the Federal Government, report data electronically, providing wage rates for each of their employees, or "point data", which OES then reclassifies into wage intervals for estimation. A mean wage rate is calculated for each interval from a secondary source and given to all employees within the interval. Capturing and integrating point-data wage distributions into estimation could increase the accuracy of estimates. This paper describes the research and implementation of mean and percentile wage estimators, along with variances estimators, using available point data wage data.

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