BLS Payroll Revisions: Forecasting Recessions
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DOI: 10.26509/frbc-wp-202526
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Other versions of this item:
- Quinlan, Rory & Pinheiro, Roberto, 2026. "BLS payroll revisions: Forecasting recessions," Economics Letters, Elsevier, vol. 261(C).
References listed on IDEAS
- Marco Del Negro, 2001. "Turn, turn, turn: Predicting turning points in economic activity," Economic Review, Federal Reserve Bank of Atlanta, vol. 86(Q2), pages 1-12.
- Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-277, April.
- Nicholas 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, vol. 90(Q 2), pages 1-23.
- Rolando Pelàez, 2007. "Ex ante forecasts of business-cycle turning points," Empirical Economics, Springer, vol. 32(1), pages 239-246, April.
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Keywords
; ; ;JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2025-12-22 (Forecasting)
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