Arbeitspapier

Do real-time Okun's law errors predict GDP data revisions?

Using U.S. real-time data, we show that changes in the unemployment rate unexplained by Okun's Law have significant predictive power for GDP data revisions. A positive (negative) error in Okun's Law in real time implies that GDP will be later revised to show less (more) growth than initially estimated by the statistical agency. The information in Okun's Law errors about the true state of real economic activity also helps to improve GDP forecasts in the near term. Our findings add a new dimension to the interpretation of real-time Okun's Law errors, as they show that these errors can convey information other than a change in potential GDP, the equilibrium unemployment rate, or the use of labor's intensive margin.

Language
Englisch

Bibliographic citation
Series: Working Papers ; No. 13-3

Classification
Wirtschaft
Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
Studies of Particular Policy Episodes

Event
Geistige Schöpfung
(who)
Barnes, Michelle L.
Gumbau-Brisa, Fabià
Olivei, Giovanni P.
Event
Veröffentlichung
(who)
Federal Reserve Bank of Boston
(where)
Boston, MA
(when)
2012

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Barnes, Michelle L.
  • Gumbau-Brisa, Fabià
  • Olivei, Giovanni P.
  • Federal Reserve Bank of Boston

Time of origin

  • 2012

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