The “probability of recession”: Evaluating probabilistic and non-probabilistic forecasts from probit models of U.S. recessions
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DOI: 10.1016/j.econlet.2013.09.002
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References listed on IDEAS
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Citations
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Cited by:
- Seitz, Franz & Baumann, Ursel & Albuquerque, Bruno, 2015.
"The information content of money and credit for US activity,"
Working Paper Series
1803, European Central Bank.
- Seitz, Franz & Albuquerque, Bruno & Baumann, Ursel, 2015. "The Information Content Of Money And Credit For US Activity," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113066, Verein für Socialpolitik / German Economic Association.
- Goodness C. Aye & Christina Christou & Luis A. Gil‐Alana & Rangan Gupta, 2019.
"Forecasting the Probability of Recessions in South Africa: the Role of Decomposed Term Spread and Economic Policy Uncertainty,"
Journal of International Development, John Wiley & Sons, Ltd., vol. 31(1), pages 101-116, January.
- Goodness C. Aye & Christina Christou & Luis A. Gil-Alana & Rangan Gupta, 2016. "Forecasting the Probability of Recessions in South Africa: The Role of Decomposed Term-Spread and Economic Policy Uncertainty," Working Papers 201680, University of Pretoria, Department of Economics.
- Albuquerque, Bruno & Baumann, Ursel & Seitz, Franz, 2016. "What does money and credit tell us about real activity in the United States?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 328-347.
- repec:ecb:ecbwps:20141803 is not listed on IDEAS
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More about this item
Keywords
Recession forecast; Forecast evaluation; Calibration;All these keywords.
JEL classification:
- E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
- E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
Statistics
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