Comments on 'The state of macroeconomic forecasting'
Author
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Palm, F. & Zellner, A., 1991.
"To combine or not to combine? issues of combining forecasts,"
LIDAM Discussion Papers CORE
1991022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- PALM, Franz C. & ZELLNER, Arnold, 1992. "To Combine or not to Combine? Issues of Combining Forecasts," LIDAM Reprints CORE 1027, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Min, Chung-ki & Zellner, Arnold, 1993.
"Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates,"
Journal of Econometrics, Elsevier, vol. 56(1-2), pages 89-118, March.
- Min, C.K. & Zellner, A., 1992. ""Bayesian and Non-Bayesian Methods for Combining Models and Forecasts with Applications to Forecasting International Growth Rates"," Papers 90-92-23, California Irvine - School of Social Sciences.
- Veloce, William & Zellner, Arnold, 1985. "Entry and empirical demand and supply analysis for competitive industries," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 459-471.
- Zellner, Arnold, 1999.
"Bayesian and Non-Bayesian Approaches to Scientific Modeling and Inference in Economics and Econometrics,"
CUDARE Working Papers
198685, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Arnold Zellner, 2000. "Bayesian and Non-Bayesian Approaches to Scientific Modeling and Inference in Economics and Econometrics," Econometric Society World Congress 2000 Contributed Papers 1206, Econometric Society.
- Zellner, Arnold & Chen, Bin, 2001. "Bayesian Modeling Of Economies And Data Requirements," Macroeconomic Dynamics, Cambridge University Press, vol. 5(5), pages 673-700, November.
- Zellner, Arnold, 1986. "Biased predictors, rationality and the evaluation of forecasts," Economics Letters, Elsevier, vol. 21(1), pages 45-48.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
- Siklos, Pierre, 2017.
"What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors,"
LCERPA Working Papers
0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
- Pierre L. Siklos, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks and Their Competitors," CAMA Working Papers 2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Pierre L. Siklos, 2018. "What Has Publishing Inflation Forecasts Accomplished? Central Banks and Their Competitors," CAMA Working Papers 2018-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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.- Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.
- Zellner, Arnold & Israilevich, Guillermo, 2005.
"The Marshallian macroeconomic model: A progress report,"
International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
- Zellner, Arnold & Israilevich, Guillermo, 2005. "Marshallian Macroeconomic Model: A Progress Report," Macroeconomic Dynamics, Cambridge University Press, vol. 9(2), pages 220-243, April.
- Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
- Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
- Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
- Zellner, Arnold & Tobias, Justin & Ryu, Hang, 1998. "Bayesian Method of Moments (BMOM) Analysis of Parametric and Semiparametric Regression Models," CUDARE Working Papers 198660, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Timmermann, Allan, 2006.
"Forecast Combinations,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196,
Elsevier.
- Timmermann, Allan, 2005. "Forecast Combinations," CEPR Discussion Papers 5361, C.E.P.R. Discussion Papers.
- Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010. "Forecast Combinations," CREATES Research Papers 2010-21, Department of Economics and Business Economics, Aarhus University.
- Aiolfi Marco & Capistrán Carlos & Timmermann Allan, 2010. "Forecast Combinations," Working Papers 2010-04, Banco de México.
- Zellner Arnold, 2002. "My Experiences with Nonlinear Dynamic Models in Economics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-18, July.
- repec:rza:wpaper:264 is not listed on IDEAS
- Wei, Xiaoqiao & Yang, Yuhong, 2012. "Robust forecast combinations," Journal of Econometrics, Elsevier, vol. 166(2), pages 224-236.
- Sune Karlsson & Tor Jacobson, 2004.
"Finding good predictors for inflation: a Bayesian model averaging approach,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 479-496.
- Jacobson, Tor & Karlsson, Sune, 2002. "Finding Good Predictors for Inflation: A Bayesian Model Averaging Approach," Working Paper Series 138, Sveriges Riksbank (Central Bank of Sweden).
- Zellner, Arnold & Ando, Tomohiro, 2010. "Bayesian and non-Bayesian analysis of the seemingly unrelated regression model with Student-t errors, and its application for forecasting," International Journal of Forecasting, Elsevier, vol. 26(2), pages 413-434, April.
- Corradi, Valentina & Swanson, Norman R. & Olivetti, Claudia, 2001. "Predictive ability with cointegrated variables," Journal of Econometrics, Elsevier, vol. 104(2), pages 315-358, September.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Ruiz, Edilberto & Nieto, Fabio H., 2000. "A note on linear combination of predictors," Statistics & Probability Letters, Elsevier, vol. 47(4), pages 351-356, May.
- Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
- Rossi, Barbara, 2013.
"Advances in Forecasting under Instability,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324,
Elsevier.
- Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
- Elliott, Graham & Timmermann, Allan, 2004.
"Optimal forecast combinations under general loss functions and forecast error distributions,"
Journal of Econometrics, Elsevier, vol. 122(1), pages 47-79, September.
- Elliott, Graham & Timmermann, Allan, 2002. "Optimal Forecast Combination Under General Loss Functions and Forecast Error Distributions," University of California at San Diego, Economics Working Paper Series qt15r9t2q2, Department of Economics, UC San Diego.
- Jacques Kibambe Ngoie & Arnold Zellner, 2012. "Modeling and Policy Analysis for the U.S. Science Sector," Working Papers 201207, University of Pretoria, Department of Economics.
- Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.
- Poirier, Dale J., 1997. "Comparing and choosing between two models with a third model in the background," Journal of Econometrics, Elsevier, vol. 78(2), pages 139-151, June.
Corrections
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:jmacro:v:24:y:2002:i:4:p:499-502. 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/inca/622617 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.