The Active Role of the Natural Rate of Unemployment
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DOI: 10.24148/wp2023-33
Note: Original title: The Active Role of the Natural Rate of Unemployment during Cyclical Recoveries. Original publication date: 2023/11/29. Kudlyak presented some material from this paper as a part of her Alejandro Justiniano memorial keynote address at the annual Federal Reserve System Macroeconomics meeting, November 9 and 10, 2021.
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- Robert E. Hall & Marianna Kudlyak, 2023. "The Active Role of the Natural Rate of Unemployment," NBER Working Papers 31848, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Michael Dotsey & Shigeru Fujita & Tom Stark, 2018.
"Do Phillips Curves Conditionally Help to Forecast Inflation?,"
International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 43-92, September.
- Michael Dotsey & Shigeru Fujita & Tom Stark, 2011. "Do Phillips curves conditionally help to forecast inflation?," Working Papers 11-40, Federal Reserve Bank of Philadelphia.
- Michael Dotsey & Shigeru Fujita & Tom Stark, 2015. "Do Phillips curves conditionally help to forecast inflation?," Working Papers 15-16, Federal Reserve Bank of Philadelphia.
- Michael Dotsey & Shigeru Fujita & Tom Stark, 2017. "Do Phillips Curves Conditionally Help to Forecast Inflation?," Working Papers 17-26, Federal Reserve Bank of Philadelphia.
- Hooper, Peter & Mishkin, Frederic S. & Sufi, Amir, 2020. "Prospects for inflation in a high pressure economy: Is the Phillips curve dead or is it just hibernating?," Research in Economics, Elsevier, vol. 74(1), pages 26-62.
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Cited by:
- Jonathan Garita-Garita, 2025. "Estimación de la tasa natural de desempleo para Costa Rica," Ensayos de Política Económica 2503, Banco Central de Costa Rica.
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More about this item
Keywords
; ; ; ; ; ; ; ; ;JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
NEP fields
This paper has been announced in the following NEP Reports:- NEP-LAB-2023-12-04 (Labour Economics)
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