Survey density forecast comparison in small samples
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ijforecast.2023.12.007
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Yixiao Sun, 2013. "A heteroskedasticity and autocorrelation robust F test using an orthonormal series variance estimator," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 1-26, February.
- Hualde, Javier & Iacone, Fabrizio, 2017. "Fixed bandwidth asymptotics for the studentized mean of fractionally integrated processes," Economics Letters, Elsevier, vol. 150(C), pages 39-43.
- Nicholas M. Kiefer & Timothy J. Vogelsang, 2002.
"Heteroskedasticity-Autocorrelation Robust Standard Errors Using The Bartlett Kernel Without Truncation,"
Econometrica, Econometric Society, vol. 70(5), pages 2093-2095, September.
- Kiefer, Nicholas M., 2001. "Heteroskedasticity-Autocorrelation Robust Standard Errors Using the Bartlett Kernel without Truncation," Working Papers 01-13, Cornell University, Center for Analytic Economics.
- Laura Coroneo & Fabrizio Iacone, 2021.
"Testing for equal predictive accuracy with strong dependence,"
Discussion Papers
21/03, Department of Economics, University of York.
- Laura Coroneo & Fabrizio Iacone, 2024. "Testing for equal predictive accuracy with strong dependence," Papers 2409.12662, arXiv.org.
- James Mitchell & Stephen G. Hall, 2005. "Evaluating, Comparing and Combining Density Forecasts Using the KLIC with an Application to the Bank of England and NIESR ‘Fan’ Charts of Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 995-1033, December.
- Sun, Yixiao, 2014.
"Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference,"
Journal of Econometrics, Elsevier, vol. 178(P3), pages 659-677.
- Sun, Yixiao, 2013. "Let's Fix It: Fixed-b Asymptotics versus Small-b Asymptotics in Heteroscedasticity and Autocorrelation Robust Inference," University of California at San Diego, Economics Working Paper Series qt8x8307rz, Department of Economics, UC San Diego.
- Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
- Kiefer, Nicholas M. & Vogelsang, Timothy J., 2005.
"A New Asymptotic Theory For Heteroskedasticity-Autocorrelation Robust Tests,"
Econometric Theory, Cambridge University Press, vol. 21(6), pages 1130-1164, December.
- Kiefer, Nicholas M. & Vogelsang, Timothy J., 2005. "A New Asymptotic Theory for Heteroskedasticity-Autocorrelation Robust Tests," Working Papers 05-08, Cornell University, Center for Analytic Economics.
- Whitney K. Newey & Kenneth D. West, 1994.
"Automatic Lag Selection in Covariance Matrix Estimation,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
- Newey, W.K. & West, K.D., 1992. "Automatic Lag Selection in Covariance Matrix Estimation," Working papers 9220, Wisconsin Madison - Social Systems.
- Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
- Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
- Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
- Michael P. Clements & David I. Harvey, 2010.
"Forecast encompassing tests and probability forecasts,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 1028-1062.
- Clements, Michael P. & Harvey, David I., 2006. "Forecast Encompassing Tests and Probability Forecasts," Economic Research Papers 269744, University of Warwick - Department of Economics.
- Clements, Michael P & Harvey, David I, 2006. "Forecast Encompassing Tests and Probability Forecasts," The Warwick Economics Research Paper Series (TWERPS) 774, University of Warwick, Department of Economics.
- Eben Lazarus & Daniel J. Lewis & James H. Stock & Mark W. Watson, 2018. "HAR Inference: Recommendations for Practice Rejoinder," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 574-575, October.
- Kiefer, Nicholas M. & Vogelsang, Timothy J., 2002. "Heteroskedasticity-Autocorrelation Robust Testing Using Bandwidth Equal To Sample Size," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1350-1366, December.
- Li, Jia & Patton, Andrew J., 2018.
"Asymptotic inference about predictive accuracy using high frequency data,"
Journal of Econometrics, Elsevier, vol. 203(2), pages 223-240.
- Jia Li & Andrew J. Patton, 2013. "Asymptotic Inference about Predictive Accuracy Using High Frequency Data," Working Papers 13-27, Duke University, Department of Economics.
- Dr. James Mitchell, 2005. "Evaluating, comparing and combining density forecasts using the KLIC with an application to the Bank of England and NIESR ÔfanÕ charts of inflation," National Institute of Economic and Social Research (NIESR) Discussion Papers 253, National Institute of Economic and Social Research.
- Hwan-sik Choi & Nicholas M. Kiefer, 2010. "Improving robust model selection tests for dynamic models," Econometrics Journal, Royal Economic Society, vol. 13(2), pages 177-204, July.
- Raffaella Giacomini & Halbert White, 2006.
"Tests of Conditional Predictive Ability,"
Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
- Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, University Library of Munich, Germany.
- Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
- Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
- Fair, Ray C, 1980.
"Estimating the Expected Predictive Accuracy of Econometric Models,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 355-378, June.
- Ray C. Fair, 1978. "Estimating the Expected Predictive Accuracy of Econometric Models," Cowles Foundation Discussion Papers 480, Cowles Foundation for Research in Economics, Yale University.
- Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008.
"Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters,"
Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
- Gianna Boero & Jeremy Smith & KennethF. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
- Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2006. "Uncertainty and disagreement in economic prediction: the Bank of England Survey of External Forecasters," Economic Research Papers 269751, University of Warwick - Department of Economics.
- Boero,Gianna & Smith,Jeremy & Wallis,Kenneth F, 2006. "Uncertainty and disagreement in economic prediction : the Bank of England Survey of External Forecasters," The Warwick Economics Research Paper Series (TWERPS) 811, University of Warwick, Department of Economics.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Harvey, David I. & Leybourne, Stephen J. & Whitehouse, Emily J., 2017.
"Forecast evaluation tests and negative long-run variance estimates in small samples,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 833-847.
- David I. Harvey & Stephen J. Leybourne & Emily J. Whitehouse, 2017. "Forecast evaluation tests and negative long-run variance estimates in small samples," Discussion Papers 17/03, University of Nottingham, Granger Centre for Time Series Econometrics.
- Dr. James Mitchell, 2005. "Evaluating, comparing and combining density forecasts using the KLIC with an application to the Bank of England and NIESR ÔfanÕ charts of inflation," National Institute of Economic and Social Research (NIESR) Discussion Papers 253, National Institute of Economic and Social Research.
- Michael P. Clements, 2014. "Forecast Uncertainty- Ex Ante and Ex Post : U.S. Inflation and Output Growth," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 206-216, April.
- Wooldridge, Jeffrey M. & White, Halbert, 1988. "Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes," Econometric Theory, Cambridge University Press, vol. 4(2), pages 210-230, August.
- de Vincent-Humphreys, Rupert & Dimitrova, Ivelina & Falck, Elisabeth & Henkel, Lukas & Meyler, Aidan, 2019. "Twenty years of the ECB Survey of Professional Forecasters," Economic Bulletin Articles, European Central Bank, vol. 1.
- Eben Lazarus & Daniel J. Lewis & James H. Stock & Mark W. Watson, 2018. "HAR Inference: Recommendations for Practice," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 541-559, October.
- Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
- Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
- Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023.
"Testing the predictive accuracy of COVID-19 forecasts,"
International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
- Laura Coroneo & Fabrizio Iacone & Alessia Paccagnini & Paulo Santos Monteiro, 2020. "Testing the predictive accuracy of COVID-19 forecasts," Discussion Papers 20/10, Department of Economics, University of York.
- Laura Coroneo & Fabrizio Iacone & Alessia Paccagnini & Paulo Santos Monteiro, 2021. "Testing the predictive accuracy of COVID-19 forecasts," CAMA Working Papers 2021-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
- Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
- Casini, Alessandro & Perron, Pierre, 2024.
"Prewhitened long-run variance estimation robust to nonstationarity,"
Journal of Econometrics, Elsevier, vol. 242(1).
- Alessandro Casini & Pierre Perron, 2021. "Prewhitened Long-Run Variance Estimation Robust to Nonstationarity," Papers 2103.02235, arXiv.org, revised Aug 2024.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2019.
"Assessing the uncertainty in central banks’ inflation outlooks,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2017.
"Density Forecasts With Midas Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 783-801, June.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Paper 2014/10, Norges Bank.
- Knut Are Aastveit & Claudia Foroni & Francesco Ravazzolo, 2014. "Density forecasts with MIDAS models," Working Papers No 3/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
- Diks, Cees & Panchenko, Valentyn & van Dijk, Dick, 2011.
"Likelihood-based scoring rules for comparing density forecasts in tails,"
Journal of Econometrics, Elsevier, vol. 163(2), pages 215-230, August.
- Cees Diks & Valentyn Panchenko & Dick van Dijk, 2011. "Likelihood-based scoring rules for comparing density forecasts in tails," Post-Print hal-00834423, HAL.
- Martínez-Iriarte, Julián & Sun, Yixiao & Wang, Xuexin, 2020.
"Asymptotic F tests under possibly weak identification,"
Journal of Econometrics, Elsevier, vol. 218(1), pages 140-177.
- Julian Martinez-Iriarte & Yixiao Sun & Xuexin Wang, 2019. "Asymptotic F Tests under Possibly Weak Identification," Working Papers 2019-03-12, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Martínez-Iriarte, Julián & Sun, Yixiao & Wang, Xuexin, 2019. "Asymptotic F Tests under Possibly Weak Identification," University of California at San Diego, Economics Working Paper Series qt6qk200q8, Department of Economics, UC San Diego.
- repec:hal:journl:peer-00834423 is not listed on IDEAS
- Casini, Alessandro, 2024. "The fixed-b limiting distribution and the ERP of HAR tests under nonstationarity," Journal of Econometrics, Elsevier, vol. 238(2).
- Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2023.
"Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings,"
Econometric Reviews, Taylor & Francis Journals, vol. 42(3), pages 281-306, February.
- Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2021. "Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings," Papers 2103.00060, arXiv.org.
- Barbara Rossi, 2019.
"Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them,"
Economics Working Papers
1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
- Barbara Rossi, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," Working Papers 1162, Barcelona School of Economics.
- Rossi, Barbara, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," CEPR Discussion Papers 14472, C.E.P.R. Discussion Papers.
- Eben Lazarus & Daniel J. Lewis & James H. Stock, 2021. "The Size‐Power Tradeoff in HAR Inference," Econometrica, Econometric Society, vol. 89(5), pages 2497-2516, September.
- Yixiao Sun & Xuexin Wang, 2019. "An Asymptotically F-Distributed Chow Test in the Presence of Heteroscedasticity and Autocorrelation," Papers 1911.03771, arXiv.org.
- Sun, Yixiao & Yang, Jingjing, 2020. "Testing-optimal kernel choice in HAR inference," Journal of Econometrics, Elsevier, vol. 219(1), pages 123-136.
- Clements, Michael P., 2018.
"Are macroeconomic density forecasts informative?,"
International Journal of Forecasting, Elsevier, vol. 34(2), pages 181-198.
- Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
- Jie Cheng, 2024. "Evaluating Density Forecasts Using Weighted Multivariate Scores in a Risk Management Context," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3617-3643, December.
- Pellatt, Daniel F. & Sun, Yixiao, 2023. "Asymptotic F test in regressions with observations collected at high frequency over long span," Journal of Econometrics, Elsevier, vol. 235(2), pages 1281-1309.
- Hecq, A.W. & Götz, T.B. & Urbain, J.R.Y.J., 2012.
"Real-time forecast density combinations (forecasting US GDP growth using mixed-frequency data),"
Research Memorandum
021, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014. "Combining distributions of real-time forecasts: An application to U.S. growth," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).
More about this item
Keywords
Survey density forecast comparison; ECB SPF; Diebold–Mariano test; Forecast encompassing; Fixed-smoothing asymptotics;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:40:y:2024:i:4:p:1486-1504. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.