The efficiency of the benchmark revisions to the current employment statistics (CES) data
AbstractWe find evidence of a cyclical and seasonal bias in the annual benchmark revisions to the monthly level of non-farm payroll employment. We propose a change to the methodology that would remove the seasonal bias and ensure that the benchmark process does not artificially influence the estimated seasonal pattern in the raw data.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 115 (2012)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/ecolet
Data revisions; Seasonal bias; Payroll employment;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Neumark, David & Wascher, William L, 1991. "Can We Improve upon Preliminary Estimates of Payroll Employment Growth?," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 197-205, April.
- Nicholas L. Haltom & Vanessa D. Mitchell & Ellis W. Tallman, 2005. "Payroll employment data: measuring the effects of annual benchmark revisions," Economic Review, Federal Reserve Bank of Atlanta, issue Q 2, pages 1-23.
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