Benchmarking the Current Employment Statistics survey perspectives on current research

In the sample-survey world, benchmarking is an alignment of a survey-based estimate with a population value. Aligning estimates to a high-quality control total improves the quality of the set of estimates for both the controlled and correlated characteristics. This article discusses benchmarking in...

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Bibliographic Details
Published inMonthly Labor Review pp. 1 - 21
Main Author Robertson, Kenneth W.
Format Journal Article Trade Publication Article
LanguageEnglish
Published Washington United States Department of Labor, Bureau of Labor Statistics 01.11.2017
Superintendent of Documents
Subjects
Applied statistics
Benchmark
Benchmarking
Benchmarks
Career Change
Census of Population
Censuses
Central banks
Economic aspects
Economic statistics
Employment
Employment Level
Employment Statistics
Estimates
Family medicine
Forecasts and trends
Labor
Market trend/market analysis
Mathematical procedures
Population
Population estimates
Quality
Quality Control
Research methods
Sampling
Sampling error
Sampling errors
Statistics
Surveys
United States
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Summary:In the sample-survey world, benchmarking is an alignment of a survey-based estimate with a population value. Aligning estimates to a high-quality control total improves the quality of the set of estimates for both the controlled and correlated characteristics. This article discusses benchmarking in the Current Employment Statistics (CES) survey, from its roots in 1935 to current benchmark procedures. The general practice of CES benchmarking is briefly described and is accompanied by recent quantitative results at national and state levels. Impediments to improvements in the methodology are discussed and illustrated. The article concludes with a brief overview of methods included in recent research and with an outline of future plans.
ISSN:0098-1818
1937-4658
1937-4658
DOI:10.21916/mlr.2017.27