Term Structure Of Inflation Forecast Uncertainties And Skew Normal Distributions
Empirical evaluation of macroeconomic uncertainties and their use for probabilistic forecasting are investigated. A new weighted skew normal distribution which parameters are interpretable in relation to monetary policy outcomes and actions is proposed. This distribution is fitted to recursively obtained forecast errors of monthly and annual inflation for 38 countries. It is found that this distribution fits inflation forecasts errors better than the two-piece normal distribution, which is often used for inflation forecasting. The new type of ‘fan charts’ net of the epistemic (potentially predictable) element is proposed and applied for UK and Poland.
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- Stilianos Fountas & Menelaos Karanasos & Jinki Kim, 2006. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 319-343, 06.
- Kajal Lahiri & Xuguang Sheng, 2008.
"Measuring Forecast Uncertainty by Disagreement: The Missing Link,"
Ifo Working Paper Series
Ifo Working Paper No. 60, Ifo Institute for Economic Research at the University of Munich.
- Kajal Lahiri & Xuguang Sheng, 2010. "Measuring forecast uncertainty by disagreement: The missing link," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
- Kajal Lahiri & Xuguang Sheng, 2009. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Discussion Papers 09-06, University at Albany, SUNY, Department of Economics.
- Patton, Andrew J. & Timmermann, Allan, 2011.
"Predictability of Output Growth and Inflation: A Multi-Horizon Survey Approach,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 29(3), pages 397-410.
- Andrew J. Patton & Allan Timmermann, 2011. "Predictability of Output Growth and Inflation: A Multi-Horizon Survey Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 397-410, July.
- Fushang Liu & Kajal Lahiri, 2006.
"Modelling multi-period inflation uncertainty using a panel of density forecasts,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219.
- Kajal Lahiri & Fushang Liu, 2006. "Modeling Multi-Period Inflation Uncertainty Using a Panel of Density Forcasts," Discussion Papers 06-05, University at Albany, SUNY, Department of Economics.
- Dominicy, Yves & Veredas, David, 2013. "The method of simulated quantiles," Journal of Econometrics, Elsevier, vol. 172(2), pages 235-247.
- Nicholas Bloom, 2007.
"The Impact of Uncertainty Shocks,"
NBER Working Papers
13385, National Bureau of Economic Research, Inc.
- Luca Greco, 2011. "Minimum Hellinger distance based inference for scalar skew-normal and skew-t distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 20(1), pages 120-137, May.
- Bomberger, William A, 1996. "Disagreement as a Measure of Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(3), pages 381-92, August.
- Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
- Matei Demetrescu & Mu-Chun Wang, 2014. "Incorporating Asymmetric Preferences into Fan Charts and Path Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 287-297, 04.
- Maximiano Pinheiro & Paulo Soares Esteves, 2008.
"On the uncertainty and risks of macroeconomic forecasts: Combining judgements with sample and model information,"
w200821, Banco de Portugal, Economics and Research Department.
- Maximiano Pinheiro & Paulo Esteves, 2012. "On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information," Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
- Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
- Giordani, Paolo & Soderlind, Paul, 2000.
"Inflation Forecast Uncertainty,"
SSE/EFI Working Paper Series in Economics and Finance
384, Stockholm School of Economics, revised 09 Oct 2000.
- Arthur Pewsey, 2000. "Problems of inference for Azzalini's skewnormal distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(7), pages 859-870.
- Taylor, A M Robert, 2003. "Robust Stationarity Tests in Seasonal Time Series Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 156-63, January.
- Kenneth F. Wallis, 2004. "An Assessment of Bank of England and National Institute Inflation Forecast Uncertainties," National Institute Economic Review, National Institute of Economic and Social Research, vol. 189(1), pages 64-71, July.
- Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
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