Evaluating the Conditionality of Judgmental Forecasts
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DOI: 10.17016/FEDS.2019.002
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- Berge, Travis J. & Chang, Andrew C. & Sinha, Nitish R., 2019. "Evaluating the conditionality of judgmental forecasts," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1627-1635.
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Cited by:
- Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
- Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
- Travis J. Berge, 2023.
"Time-Varying Uncertainty of the Federal Reserve's Output Gap Estimate,"
The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1191-1206, September.
- Travis J. Berge, 2020. "Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate," Finance and Economics Discussion Series 2020-012r1, Board of Governors of the Federal Reserve System (U.S.), revised 14 Apr 2021.
- Jochen Güntner, 2022.
"Central bank information and private‐sector expectations,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1372-1385, November.
- Jochen Güntner, 2020. "Central bank information and private-sector Expectations," Economics working papers 2020-07, Department of Economics, Johannes Kepler University Linz, Austria.
- Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
- Engelke, Carola & Heinisch, Katja & Schult, Christoph, 2019. "How forecast accuracy depends on conditioning assumptions," IWH Discussion Papers 18/2019, Halle Institute for Economic Research (IWH).
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More about this item
Keywords
conditional forecasts; Forecast efficiency; Macroeconomic forecasting;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2019-02-11 (Forecasting)
- NEP-MAC-2019-02-11 (Macroeconomics)
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