Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence
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DOI: 10.1016/j.econlet.2016.03.014
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Cited by:
- Yutaka Kurihara, 2017. "Recent monetary policy effects on Japanese macroeconomy," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 5(5), pages 12-17, October.
- Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
- Paula Margaretic & Sebastián Becerra, 2017. "Dispersed Information and Sovereign Risk Premia," Working Papers Central Bank of Chile 808, Central Bank of Chile.
- Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
- Tony Chernis & Chris D'Souza & Kevin MacLean & Tasha Reader & Joshua Slive & Farrukh Suvankulov, 2022. "The Business Leaders’ Pulse—An Online Business Survey," Discussion Papers 2022-14, Bank of Canada.
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More about this item
Keywords
Real-time data; Data revisions; Forecast disagreement;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
Statistics
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