Jana Eklund
Personal Details
First Name: | Jana |
Middle Name: | |
Last Name: | Eklund |
Suffix: | |
RePEc Short-ID: | pek15 |
[This author has chosen not to make the email address public] | |
Terminal Degree: | 2006 Department of Economic Statistics; Stockholm School of Economics (from RePEc Genealogy) |
Research output
Jump to: Working papers ArticlesWorking papers
- Eklund, Jana & Kapetanios, George & Price, Simon, 2010.
"Forecasting in the presence of recent structural change,"
Bank of England working papers
406, Bank of England.
- Jana Eklund & George Kapetanios & Simon Price, 2011. "Forecasting in the presence of recent structural change," CAMA Working Papers 2011-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eklund, J. & Kapetanios, G. & Price, S., 2011. "Forecasting in the presence of recent structural change," Working Papers 11/05, Department of Economics, City University London.
- Jana Eklund & George Kapetanios, 2008.
"A Review of Forecasting Techniques for Large Data Sets,"
Working Papers
625, Queen Mary University of London, School of Economics and Finance.
- Jana Eklund & George Kapetanios, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 109-115, January.
- Eklund, Jana & Kapetanios, George, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203, pages 109-115, January.
- Richard Harrison & George Kapetanios & Alasdair Scott & Jana Eklund, 2008. "Breaks in DSGE models," 2008 Meeting Papers 657, Society for Economic Dynamics.
- Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007.
"A state space approach to extracting the signal from uncertain data,"
Bank of England working papers
336, Bank of England.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal From Uncertain Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal from Uncertain Data," Working Papers 637, Queen Mary University of London, School of Economics and Finance.
- Eklund, Jana & Karlsson, Sune, 2007.
"An Embarrassment of Riches: Forecasting Using Large Panels,"
Working Papers
2007:1, Örebro University, School of Business.
- Jana Eklund & Sune Karlsson, 2007. "An Embarrassment of Riches: Forecasting Using Large Panels," Economics wp34, Department of Economics, Central bank of Iceland.
- Eklund, Jana & Karlsson, Sune, 2007.
"Computational Efficiency in Bayesian Model and Variable Selection,"
Working Papers
2007:4, Örebro University, School of Business.
- Jana Eklund & Sune Karlsson, 2007. "Computational Efficiency in Bayesian Model and Variable Selection," Economics wp35, Department of Economics, Central bank of Iceland.
- Eklund, Jana & Karlsson, Sune, 2005.
"Forecast Combination and Model Averaging Using Predictive Measures,"
CEPR Discussion Papers
5268, C.E.P.R. Discussion Papers.
- Jana Eklund & Sune Karlsson, 2007. "Forecast Combination and Model Averaging Using Predictive Measures," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 329-363.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging using Predictive Measures," Working Paper Series 191, Sveriges Riksbank (Central Bank of Sweden).
repec:qmw:qmwecw:wp625 is not listed on IDEAS
repec:qmw:qmwecw:wp637 is not listed on IDEAS
Articles
- Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009.
"A State Space Approach to Extracting the Signal From Uncertain Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal from Uncertain Data," Working Papers 637, Queen Mary University of London, School of Economics and Finance.
- Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007. "A state space approach to extracting the signal from uncertain data," Bank of England working papers 336, Bank of England.
- Eklund, Jana & Kapetanios, George, 2008.
"A review of forecasting techniques for large datasets,"
National Institute Economic Review, National Institute of Economic and Social Research, vol. 203, pages 109-115, January.
- Jana Eklund & George Kapetanios, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 109-115, January.
- Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.
- Jana Eklund & Sune Karlsson, 2007.
"Forecast Combination and Model Averaging Using Predictive Measures,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 329-363.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging Using Predictive Measures," CEPR Discussion Papers 5268, C.E.P.R. Discussion Papers.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging using Predictive Measures," Working Paper Series 191, Sveriges Riksbank (Central Bank of Sweden).
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Blog mentions
As found by EconAcademics.org, the blog aggregator for Economics research:- Jana Eklund & George Kapetanios & Simon Price, 2013.
"Robust Forecast Methods and Monitoring during Structural Change,"
Manchester School, University of Manchester, vol. 81, pages 3-27, October.
Mentioned in:
- Forecasting GDP in the presence of breaks: when is the past is a good guide to the future?
by bankunderground in Bank Underground on 2015-08-20 11:30:00 - Forecasting GDP in the presence of breaks: when is the past a good guide to the future?
by Guest Author in The Big Picture on 2015-09-01 14:00:11
- Forecasting GDP in the presence of breaks: when is the past is a good guide to the future?
Working papers
- Eklund, Jana & Kapetanios, George & Price, Simon, 2010.
"Forecasting in the presence of recent structural change,"
Bank of England working papers
406, Bank of England.
- Jana Eklund & George Kapetanios & Simon Price, 2011. "Forecasting in the presence of recent structural change," CAMA Working Papers 2011-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eklund, J. & Kapetanios, G. & Price, S., 2011. "Forecasting in the presence of recent structural change," Working Papers 11/05, Department of Economics, City University London.
Cited by:
- Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2012.
"Exponent of Cross-sectional Dependence: Estimation and Inference,"
CESifo Working Paper Series
3722, CESifo.
- Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016. "Exponent of Cross‐Sectional Dependence: Estimation and Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
- Bailey, Natalia & Kapetanios, George & Pesaran, M. Hashem, 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," IZA Discussion Papers 6318, Institute of Labor Economics (IZA).
- Bailey, N. & Kapetanios, G. & Pesaran, M. H., 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," Cambridge Working Papers in Economics 1206, Faculty of Economics, University of Cambridge.
- Tian, Jing & Anderson, Heather M., 2014. "Forecast combinations under structural break uncertainty," International Journal of Forecasting, Elsevier, vol. 30(1), pages 161-175.
- Y. Dendramis & G. Kapetanios & M. Marcellino, 2020.
"A similarity‐based approach for macroeconomic forecasting,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 801-827, June.
- Marcellino, Massimiliano & Kapetanios, George & Dendramis, Yiannis, 2020. "A Similarity-based Approach for Macroeconomic Forecasting," CEPR Discussion Papers 14469, C.E.P.R. Discussion Papers.
- 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.
- 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.
- Barbara Rossi, 2019. "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.
- Kirdan Lees, 2009. "Overview of a recent Reserve Bank workshop: nowcasting with model combination," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 31-33, March.
- Liudas Giraitis & George Kapetanios & Simon Price, 2012.
"Adaptive Forecasting in the Presence of Recent and Ongoing Structural Change,"
Working Papers
691, Queen Mary University of London, School of Economics and Finance.
- Giraitis, Liudas & Kapetanios, George & Price, Simon, 2014. "Adaptive forecasting in the presence of recent and ongoing structural change," Bank of England working papers 490, Bank of England.
- Giraitis, Liudas & Kapetanios, George & Price, Simon, 2013. "Adaptive forecasting in the presence of recent and ongoing structural change," Journal of Econometrics, Elsevier, vol. 177(2), pages 153-170.
- Liudas Giraitis & George Kapetanios & Simon Price, 2012. "Adaptive Forcasting in the Presence of Recent and Ongoing Structural Change," CAMA Working Papers 2012-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
- Bauwens, Luc & Korobilis, Dimitris & Koop, Gary & Rombouts, Jeroen V.K., 2011.
"A Comparison Of Forecasting Procedures For Macroeconomic Series: The Contribution Of Structural Break Models,"
SIRE Discussion Papers
2011-25, Scottish Institute for Research in Economics (SIRE).
- Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen V.K. Rombouts, 2011. "The Contribution of Structural Break Models to Forecasting Macroeconomic Series," Working Paper series 38_11, Rimini Centre for Economic Analysis.
- Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen Rombouts, 2011. "A Comparison of Forecasting Procedures For Macroeconomic Series: The Contribution of Structural Break Models," CIRANO Working Papers 2011s-13, CIRANO.
- Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen V.K. Rombouts, 2015. "The Contribution of Structural Break Models to Forecasting Macroeconomic Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 596-620, June.
- Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen Rombouts, 2011. "A comparison of Forecasting Procedures for Macroeconomic Series: The Contribution of Structural Break Models," Working Papers 1113, University of Strathclyde Business School, Department of Economics.
- Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen V.K. Rombouts, 2011. "A Comparison of Forecasting Procedures for Macroeconomic Series: the Contribution of Structural Break Models," Cahiers de recherche 1104, CIRPEE.
- BAUWENS, Luc & KOOP, Gary & KOROBILIS, Dimitris & ROMBOUTS, Jeroen V. K., 2011. "A comparison of forecasting procedures for macroeconomic series: the contribution of structural break models," LIDAM Discussion Papers CORE 2011003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Arora, Vipin & Lieskovsky, Jozef, 2012.
"Natural Gas and U.S. Economic Activity,"
MPRA Paper
42659, University Library of Munich, Germany.
- Vipin Arora and Jozef Lieskovsky, 2014. "Natural Gas and U.S. Economic Activity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
- Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2014.
"Forecasting UK GDP growth and inflation under structural change. A comparison of models with time-varying parameters,"
International Journal of Forecasting, Elsevier, vol. 30(1), pages 129-143.
- Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2012. "Forecasting UK GDP growth, inflation and interest rates under structural change: a comparison of models with time-varying parameters," Bank of England working papers 450, Bank of England.
- Jana Eklund & George Kapetanios, 2008.
"A Review of Forecasting Techniques for Large Data Sets,"
Working Papers
625, Queen Mary University of London, School of Economics and Finance.
- Jana Eklund & George Kapetanios, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 109-115, January.
- Eklund, Jana & Kapetanios, George, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203, pages 109-115, January.
Cited by:
- Teresa Buchen & Klaus Wohlrabe, 2013.
"Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany,"
CESifo Working Paper Series
4148, CESifo.
- Klaus Wohlrabe & Teresa Buchen, 2014. "Assessing the Macroeconomic Forecasting Performance of Boosting: Evidence for the United States, the Euro Area and Germany," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(4), pages 231-242, July.
- Teresa, Buchen & Wohlrabe, Klaus, 2014. "Assessing the Macroeconomic Forecasting Performance of Boosting: Evidence for the United States, the Euro Area, and Germany," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100626, Verein für Socialpolitik / German Economic Association.
- Bell, Venetia & Co, Lai Wah & Stone, Sophie & Wallis, gavin`, 2014. "Nowcasting UK GDP growth," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 58-68.
- Alexander Chudik & M. Hashem Pesaran, 2014.
"Theory and practice of GVAR modeling,"
Globalization Institute Working Papers
180, Federal Reserve Bank of Dallas.
- Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and Practice of GVAR Modeling," CESifo Working Paper Series 4807, CESifo.
- Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and Practice of GVAR Modeling," Cambridge Working Papers in Economics 1408, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
- Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016. "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 134-155.
- Wallis, Kenneth F., 2008. "Macroeconomic modelling in central banks in Latin America," Documentos de Proyectos 3627, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
- Liu, Philip & Matheson, Troy & Romeu, Rafael, 2012.
"Real-time forecasts of economic activity for Latin American economies,"
Economic Modelling, Elsevier, vol. 29(4), pages 1090-1098.
- Mr. Philip Liu & Rafael Romeu & Mr. Troy D Matheson, 2011. "Real-time Forecasts of Economic Activity for Latin American Economies," IMF Working Papers 2011/098, International Monetary Fund.
- Houcine Senoussi, 2021. "Inflation and Inflation Uncertainty in Growth Model of Barro: An Application of Random Forest Method," International Econometric Review (IER), Econometric Research Association, vol. 13(1), pages 4-23, March.
- Eirini Konstantinidi & Gkaren Papazian & George Skiadopoulos, 2015. "Modeling the Dynamics of Temperature with a View to Weather Derivatives," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 17, pages 511-544, World Scientific Publishing Co. Pte. Ltd..
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014.
"A multi-country approach to forecasting output growth using PMIs,"
Globalization Institute Working Papers
213, Federal Reserve Bank of Dallas.
- Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2016. "A multi-country approach to forecasting output growth using PMIs," Journal of Econometrics, Elsevier, vol. 192(2), pages 349-365.
- Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A Multi-Country Approach to Forecasting Output Growth Using PMIs," CESifo Working Paper Series 5100, CESifo.
- Renbo Liu & Yuhui Ge & Peng Zuo, 2023. "Study on Economic Data Forecasting Based on Hybrid Intelligent Model of Artificial Neural Network Optimized by Harris Hawks Optimization," Mathematics, MDPI, vol. 11(21), pages 1-28, November.
- Barhoumi, K. & Darné, O. & Ferrara, L., 2013.
"Dynamic Factor Models: A review of the Literature ,"
Working papers
430, Banque de France.
- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Dynamic factor models: A review of the literature," Post-Print hal-01385974, HAL.
- Richard Harrison & George Kapetanios & Alasdair Scott & Jana Eklund, 2008.
"Breaks in DSGE models,"
2008 Meeting Papers
657, Society for Economic Dynamics.
Cited by:
- Fabio Canova, 2012.
"Bridging DSGE models and the raw data,"
Working Papers
635, Barcelona School of Economics.
- Fabio Canova, 2008. "Bridging DSGE models and the raw data," Economics Working Papers 1320, Department of Economics and Business, Universitat Pompeu Fabra, revised May 2012.
- Canova, Fabio, 2014. "Bridging DSGE models and the raw data," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 1-15.
- Canova, Fabio, 2013. "Bridging DSGE Models and the raw data," CEPR Discussion Papers 9379, C.E.P.R. Discussion Papers.
- Fabio Canova, 2012.
"Bridging DSGE models and the raw data,"
Working Papers
635, Barcelona School of Economics.
- Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007.
"A state space approach to extracting the signal from uncertain data,"
Bank of England working papers
336, Bank of England.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal From Uncertain Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal from Uncertain Data," Working Papers 637, Queen Mary University of London, School of Economics and Finance.
Cited by:
- Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019.
"Testing for news and noise in non-stationary time series subject to multiple historical revisions,"
Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
- Hecq, A.W. & Jacobs, J.P.A.M. & Stamatogiannis, M., 2016. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Research Memorandum 004, Maastricht University, Graduate School of Business and Economics (GSBE).
- Alain Hecq & Jan P.A.M. Jacobs & Michalis P. Stamatogiannis, 2016. "Testing for News and Noise in Non-Stationary Time Series Subject to Multiple Historical Revisions," CIRANO Working Papers 2016s-01, CIRANO.
- Clements, Michael P. & Galvao, Ana Beatriz, 2019.
"Measuring the Effects of Expectations Shocks,"
EMF Research Papers
31, Economic Modelling and Forecasting Group.
- Clements, Michael P. & Galvão, Ana Beatriz, 2021. "Measuring the effects of expectations shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
- Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
- Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
- Kerry Patterson & Hossein Hassani & Saeed Heravi & Anatoly Zhigljavsky, 2011. "Multivariate singular spectrum analysis for forecasting revisions to real-time data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2183-2211.
- Michael P. Clements & Ana Beatriz Galvão, 2011. "Improving Real-time Estimates of Output Gaps and Inflation Trends with Multiple-vintage Models," Working Papers 678, Queen Mary University of London, School of Economics and Finance.
- George Kapetanios & Tony Yates, 2010. "Estimating time variation in measurement error from data revisions: an application to backcasting and forecasting in dynamic models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 869-893.
- Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018.
"Uncertain kingdom: nowcasting GDP and its revisions,"
LSE Research Online Documents on Economics
90382, London School of Economics and Political Science, LSE Library.
- Anesti, Nikoleta & Galvão, Ana & Miranda-Agrippino, Silvia, 2018. "Uncertain Kingdom: nowcasting GDP and its revisions," Bank of England working papers 764, Bank of England, revised 31 Jan 2020.
- Nikoleta Anesti & Ana Beatriz Galvao & Silvia Miranda-Agrippino, 2018. "Uncertain Kingdom: Nowcasting GDP and its Revisions," Discussion Papers 1824, Centre for Macroeconomics (CFM).
- Clements, Michael P. & Galvão, Ana Beatriz, 2010.
"Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions,"
The Warwick Economics Research Paper Series (TWERPS)
953, University of Warwick, Department of Economics.
- Clements, Michael P. & Beatriz Galvao, Ana, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," Economic Research Papers 270771, University of Warwick - Department of Economics.
- Chiu Adrian & Wieladek Tomasz, 2013.
"Is the “Great Recession” really so different from the past?,"
The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1037-1084, October.
- Chiu, Adrian & Wieladek, Tomasz, 2015. "Is the ‘Great Recession’ really so different from the past?," Discussion Papers 40, Monetary Policy Committee Unit, Bank of England.
- Galvao, Ana Beatriz, 2016.
"Data Revisions and DSGE Models,"
EMF Research Papers
11, Economic Modelling and Forecasting Group.
- Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
- 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.
- 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.
- Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017.
"Which market integration measure?,"
Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
- Billio, Monica & Donadelli, Michael & Paradiso, Antonio & Riedel, Max, 2016. "Which market integration measure?," SAFE Working Paper Series 159, Leibniz Institute for Financial Research SAFE.
- Michael P. Clements, 2017.
"Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 420-433, July.
- Michael P. Clements, 2015. "Assessing Macro Uncertainty In Real-Time When Data Are Subject To Revision," ICMA Centre Discussion Papers in Finance icma-dp2015-02, Henley Business School, University of Reading.
- Bernd Schwaab, 2012.
"Conditional probabilities and contagion measures for euro area sovereign default risk,"
Research Bulletin, European Central Bank, vol. 17, pages 6-11.
- Xin Zhang & Bernd Schwaab & Andre Lucas, 2011. "Conditional Probabilities and Contagion Measures for Euro Area Sovereign Default Risk," Tinbergen Institute Discussion Papers 11-176/2/DSF29, Tinbergen Institute, revised 28 Jun 2012.
- David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
- Philip Vermeulen, 2012. "Bank dependence and investment during the financial crisis," Research Bulletin, European Central Bank, vol. 17, pages 12-14.
- Naoko Hara & Hibiki Ichiue, 2010.
"Real-time Analysis on Japan's Labor Productivity,"
Bank of Japan Working Paper Series
10-E-7, Bank of Japan.
- Hara, Naoko & Ichiue, Hibiki, 2011. "Real-time analysis on Japan's labor productivity," Journal of the Japanese and International Economies, Elsevier, vol. 25(2), pages 107-130, June.
- Richard G. Anderson & Charles S. Gascon, 2009. "Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 349-370.
- Michael P Clements & Ana Beatriz Galvao, 2017. "Data Revisions and Real-time Probabilistic Forecasting of Macroeconomic Variables," ICMA Centre Discussion Papers in Finance icma-dp2017-01, Henley Business School, University of Reading.
- Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
- Dungey, Mardi & Jacobs, Jan & Tian, Jing & Norden, Simon van, 2012. "On trend-cycle decomposition and data revision," Research Report 12009-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Clements Michael P., 2012. "Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-27, January.
- Cecilia Frale & Valentina Raponi, 2011. "Revisions in ocial data and forecasting," Working Papers LuissLab 1194, Dipartimento di Economia e Finanza, LUISS Guido Carli.
- Simone Manganelli, 2012. "The impact of the Securities Markets Programme," Research Bulletin, European Central Bank, vol. 17, pages 2-5.
- Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
- Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
- Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
- Eklund, Jana & Karlsson, Sune, 2007.
"An Embarrassment of Riches: Forecasting Using Large Panels,"
Working Papers
2007:1, Örebro University, School of Business.
- Jana Eklund & Sune Karlsson, 2007. "An Embarrassment of Riches: Forecasting Using Large Panels," Economics wp34, Department of Economics, Central bank of Iceland.
Cited by:
- Yin-Wong Cheung & Shi He, 2019.
"Truths and Myths About RMB Misalignment: A Meta-analysis,"
Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 464-492, September.
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"Forecast Combination and Model Averaging Using Predictive Measures,"
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5268, C.E.P.R. Discussion Papers.
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"Advances in Forecasting Under Instability,"
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- Anders Warne & Günter Coenen & Kai Christoffel, 2017.
"Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
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- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," IMFS Working Paper Series 59, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
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"Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?,"
International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
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Advances in Econometrics, in: Bayesian Econometrics, pages 501-524,
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- Andersson, Michael K & Karlsson, Sune, 2007. "Bayesian Forecast Combination for VAR Models," Working Papers 2007:13, Örebro University, School of Business.
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"Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation,"
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- George Kapetanios & Vincent Labhard & Simon Price, 2006. "Forecasting using Bayesian and Information Theoretic Model Averaging: An Application to UK Inflation," Working Papers 566, Queen Mary University of London, School of Economics and Finance.
- George Kapetanios & Vincent Labhard & Simon Price, 2005. "Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation," Bank of England working papers 268, Bank of England.
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"Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates,"
Borradores de Economia
853, Banco de la Republica de Colombia.
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- Bjørnland, Hilde C. & Gerdrup, Karsten & Jore, Anne Sofie & Smith, Christie & Thorsrud, Leif Anders, 2011.
"Weights and pools for a Norwegian density combination,"
The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 61-76, January.
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- Wolden Bache, Ida & Sofie Jore, Anne & Mitchell, James & Vahey, Shaun P., 2011.
"Combining VAR and DSGE forecast densities,"
Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1659-1670, October.
- Ida Wolden Bache & Anne Sofie Jore & James Mitchell & Shaun P. Vahey, 2009. "Combining VAR and DSGE forecast densities," Working Paper 2009/23, Norges Bank.
- Ardia, David & Baştürk, Nalan & Hoogerheide, Lennart & van Dijk, Herman K., 2012.
"A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3398-3414.
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- Huber Florian, 2016. "Forecasting exchange rates using multivariate threshold models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 193-210, January.
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"Another look at calendar anomalies,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 823-840.
- Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Discussion Paper Series 2019_02, Department of Economics, University of Macedonia, revised Feb 2019.
- Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Working Paper series 19-07, Rimini Centre for Economic Analysis.
- Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
- Todd E. Clark & Michael W. McCracken, 2010.
"Averaging forecasts from VARs with uncertain instabilities,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
- Todd E. Clark & Michael W. McCracken, 2007. "Averaging forecasts from VARs with uncertain instabilities," Finance and Economics Discussion Series 2007-42, Board of Governors of the Federal Reserve System (U.S.).
- Todd E. Clark & Michael W. McCracken, 2008. "Averaging forecasts from VARs with uncertain instabilities," Working Papers 2008-030, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29, January.
- Todd E. Clark & Michael W. McCracken, 2006. "Averaging forecasts from VARs with uncertain instabilities," Research Working Paper RWP 06-12, Federal Reserve Bank of Kansas City.
- Eliana González, 2010.
"Bayesian Model Averaging. An Application to Forecast Inflation in Colombia,"
Borradores de Economia
604, Banco de la Republica de Colombia.
- Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7015, Banco de la Republica.
- Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7014, Banco de la Republica.
- Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7013, Banco de la Republica.
- Steel, Mark F. J., 2017.
"Model Averaging and its Use in Economics,"
MPRA Paper
90110, University Library of Munich, Germany, revised 16 Nov 2018.
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- Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
- Zeugner, Stefan & Feldkircher, Martin, 2015. "Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i04).
- John M Maheu & Thomas H McCurdy, 2007.
"How useful are historical data for forecasting the long-run equity return distribution?,"
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- Maheu, John M. & McCurdy, Thomas H., 2009. "How Useful are Historical Data for Forecasting the Long-Run Equity Return Distribution?," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 95-112.
- Baştürk, N. & Grassi, S. & Hoogerheide, L. & Opschoor, A. & van Dijk, H.K., 2015.
"The R package MitISEM : efficient and robust simulation procedures for Bayesian inference,"
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- Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2015. "The R-package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Tinbergen Institute Discussion Papers 15-042/III, Tinbergen Institute, revised 04 Jul 2017.
- Baştürk, Nalan & Grassi, Stefano & Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2017. "The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i01).
- Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2017. "The R package MitISEM: Efficient and robust simulation procedures for Bayesian inference," Working Paper 2017/10, Norges Bank.
- Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2012.
"A class of adaptive importance sampling weighted EM algorithms for efficient and robust posterior and predictive simulation,"
Journal of Econometrics, Elsevier, vol. 171(2), pages 101-120.
- Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2012. "A Class of Adaptive Importance Sampling Weighted EM Algorithms for Efficient and Robust Posterior and Predictive Simulation," Tinbergen Institute Discussion Papers 12-026/4, Tinbergen Institute.
- Anne Sofie Jore & James Mitchell & Shaun Vahey, 2008.
"Combining Forecast Densities from VARs with Uncertain Instabilities,"
Reserve Bank of New Zealand Discussion Paper Series
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- Anne Sofie Jore & James Mitchell & Shaun P. Vahey, 2010. "Combining forecast densities from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 621-634.
- Anne-Sofie Jore & James Mitchell & Shaun P. Vahey, 2008. "Combining forecast densities from VARs with uncertain instabilities," Working Paper 2008/01, Norges Bank.
- Tian, Fengping & Yang, Ke & Chen, Langnan, 2017. "Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity," International Journal of Forecasting, Elsevier, vol. 33(1), pages 132-152.
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"Combining Canadian Interest-Rate Forecasts,"
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- Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
- Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2011. "A Class of Adaptive EM-based Importance Sampling Algorithms for Efficient and Robust Posterior and Predictive Simulation," Tinbergen Institute Discussion Papers 11-004/4, Tinbergen Institute.
- Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
- Garratt, Anthony & Mitchell, James & Vahey, Shaun P., 2014.
"Measuring output gap nowcast uncertainty,"
International Journal of Forecasting, Elsevier, vol. 30(2), pages 268-279.
- Anthony Garratt & James Mitchell & Shaun P. Vahey, 2011. "Measuring Output Gap Nowcast Uncertainty," CAMA Working Papers 2011-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Garratt, Anthony & Mitchell, James & Vahey, Shaun, 2013. "Measuring Output Gap Nowcast Uncertainty," EMF Research Papers 01, Economic Modelling and Forecasting Group.
- Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
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"Forecasting Using Predictive Likelihood Model Averaging,"
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567, Queen Mary University of London, School of Economics and Finance.
- Kapetanios, George & Labhard, Vincent & Price, Simon, 2006. "Forecasting using predictive likelihood model averaging," Economics Letters, Elsevier, vol. 91(3), pages 373-379, June.
- Grammig, Joachim & Kehrle, Kerstin, 2008. "A new marked point process model for the federal funds rate target: Methodology and forecast evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2370-2396, July.
- Chevillon, Guillaume, 2016. "Multistep forecasting in the presence of location shifts," International Journal of Forecasting, Elsevier, vol. 32(1), pages 121-137.
- Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014.
"Forecasting with the Standardized Self-Perturbed Kalman Filter,"
CREATES Research Papers
2014-12, Department of Economics and Business Economics, Aarhus University.
- Stefano Grassi & Nima Nonejad & Paolo Santucci De Magistris, 2017. "Forecasting With the Standardized Self‐Perturbed Kalman Filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 318-341, March.
- Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014. "Forecasting with the Standardized Self-Perturbed Kalman Filter," Studies in Economics 1405, School of Economics, University of Kent.
- Buncic, Daniel & Moretto, Carlo, 2015.
"Forecasting copper prices with dynamic averaging and selection models,"
The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
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- Anthony Garratt & James Mitchell & Shaun P. Vahey & Elizabeth C. Wakerly, 2010.
"Real-time Inflation Forecast Densities from Ensemble Phillips Curves,"
CAMA Working Papers
2010-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Anthony Garratt & James Mitchell & Shaun P. Vahey & Elizabeth C. Wakerly, 2009. "Real-time Inflation Forecast Densities from Ensemble Phillips Curves," Birkbeck Working Papers in Economics and Finance 0910, Birkbeck, Department of Economics, Mathematics & Statistics.
- Garratt, Anthony & Mitchell, James & Vahey, Shaun P. & Wakerly, Elizabeth C., 2011. "Real-time inflation forecast densities from ensemble Phillips curves," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 77-87, January.
- Ando, Tomohiro & Tsay, Ruey, 2010. "Predictive likelihood for Bayesian model selection and averaging," International Journal of Forecasting, Elsevier, vol. 26(4), pages 744-763, October.
- Nalan Basturk & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2012. "The R Package MitISEM: Mixture of Student-t Distributions using Importance Sampling Weighted Expectation Maximization for Efficient and Robust Simulation," Tinbergen Institute Discussion Papers 12-096/III, Tinbergen Institute.
- Abdymomunov, Azamat & Kang, Kyu Ho & Kim, Ki Jeong, 2016. "Can credit spreads help predict a yield curve?," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 39-61.
- Chevillon, Guillaume, 2009. "Multi-step forecasting in emerging economies: An investigation of the South African GDP," International Journal of Forecasting, Elsevier, vol. 25(3), pages 602-628, July.
- Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2014.
"Forecasting UK GDP growth and inflation under structural change. A comparison of models with time-varying parameters,"
International Journal of Forecasting, Elsevier, vol. 30(1), pages 129-143.
- Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2012. "Forecasting UK GDP growth, inflation and interest rates under structural change: a comparison of models with time-varying parameters," Bank of England working papers 450, Bank of England.
- Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
- Gelper, Sarah & Stremersch, Stefan, 2014. "Variable selection in international diffusion models," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 356-367.
- Nima Nonejad, 2013. "A Mixture Innovation Heterogeneous Autoregressive Model for Structural Breaks and Long Memory," CREATES Research Papers 2013-24, Department of Economics and Business Economics, Aarhus University.
- Jana Eklund & George Kapetanios, 2008.
"A Review of Forecasting Techniques for Large Data Sets,"
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625, Queen Mary University of London, School of Economics and Finance.
- Jana Eklund & George Kapetanios, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 109-115, January.
- Eklund, Jana & Kapetanios, George, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203, pages 109-115, January.
- Baihua He & Yanyan Liu & Guosheng Yin & Yuanshan Wu, 2023. "Model aggregation for doubly divided data with large size and large dimension," Computational Statistics, Springer, vol. 38(1), pages 509-529, March.
- Kim, Dongwhan & Kang, Kyu Ho, 2021. "Conditional value-at-risk forecasts of an optimal foreign currency portfolio," International Journal of Forecasting, Elsevier, vol. 37(2), pages 838-861.
- Stefano Grassi & Paolo Santucci de Magistris, 2013.
"It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model,"
CREATES Research Papers
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- Stefano Grassi & Paolo Santucci de Magistris, 2013. "It's all about volatility of volatility: evidence from a two-factor stochastic volatility model," Studies in Economics 1404, School of Economics, University of Kent.
- Martin Feldkircher & Florian Huber & Josef Schreiner & Julia Woerz & Marcel Tirpak & Peter Toth, 2015. "Small-scale nowcasting models of GDP for selected CESEE countries," Working and Discussion Papers WP 4/2015, Research Department, National Bank of Slovakia.
- Arnold Zellner & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2011. "Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo," Tinbergen Institute Discussion Papers 11-137/4, Tinbergen Institute.
- Michiel D. de Pooter & Francesco Ravazzolo & Dick van Dijk, 2007.
"Predicting the Term Structure of Interest Rates: Incorporating Parameter Uncertainty, Model Uncertainty and Macroeconomic Information,"
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- Peter McAdam & Anders Warne, 2024.
"Density forecast combinations: The real‐time dimension,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1153-1172, August.
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- Lukasz Gatarek & Lennart Hoogerheide & Koen Hooning & Herman K. van Dijk, 2013. "Censored Posterior and Predictive Likelihood in Left-Tail Prediction for Accurate Value at Risk Estimation," Tinbergen Institute Discussion Papers 13-060/III, Tinbergen Institute, revised 06 Mar 2014.
- Hyun Hak Kim, 2013. "Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea," Working Papers 2013-26, Economic Research Institute, Bank of Korea.
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"Forecasting Realized Volatility: A Bayesian Model Averaging Approach,"
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- Chris McDonald & Leif Anders Thorsrud, 2011. "Evaluating density forecasts: model combination strategies versus the RBNZ," Reserve Bank of New Zealand Discussion Paper Series DP2011/03, Reserve Bank of New Zealand.
Articles
- Jana Eklund & George Kapetanios & Simon Price, 2013.
"Robust Forecast Methods and Monitoring during Structural Change,"
Manchester School, University of Manchester, vol. 81, pages 3-27, October.
Cited by:
- Duncan, Roberto & Martínez-García, Enrique, 2019.
"New perspectives on forecasting inflation in emerging market economies: An empirical assessment,"
International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
- Roberto Duncan & Enrique Martínez García, 2018. "New Perspectives on Forecasting Inflation in Emerging Market Economies: An Empirical Assessment," Globalization Institute Working Papers 338, Federal Reserve Bank of Dallas.
- Jari Hännikäinen, 2016.
"Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks,"
Working Papers
1692, Tampere University, Faculty of Management and Business, Economics.
- Hännikäinen Jari, 2017. "Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
- Hännikäinen, Jari, 2015. "Selection of an estimation window in the presence of data revisions and recent structural breaks," MPRA Paper 66759, University Library of Munich, Germany.
- Hännikäinen, Jari, 2014.
"Multi-step forecasting in the presence of breaks,"
MPRA Paper
55816, University Library of Munich, Germany.
- Jari Hännikäinen, 2014. "Multi-step forecasting in the presence of breaks," Working Papers 1494, Tampere University, Faculty of Management and Business, Economics.
- Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing, 2016.
"Forecasting output gaps in the G-7 countries: The role of correlated Innovations and structural breaks,"
Working Papers
2016-04, University of Tasmania, Tasmanian School of Business and Economics.
- Mardi Dungey & Jan P.A.M. Jacobs & Jing Tian, 2017. "Forecasting output gaps in the G-7 countries: the role of correlated innovations and structural breaks," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4554-4566, September.
- Gantungalag Altansukh & Denise R. Osborn, 2022. "Using structural break inference for forecasting time series," Empirical Economics, Springer, vol. 63(1), pages 1-41, July.
- Duncan, Roberto & Martínez-García, Enrique, 2019.
"New perspectives on forecasting inflation in emerging market economies: An empirical assessment,"
International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009.
"A State Space Approach to Extracting the Signal From Uncertain Data,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.
See citations under working paper version above.
- Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal from Uncertain Data," Working Papers 637, Queen Mary University of London, School of Economics and Finance.
- Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007. "A state space approach to extracting the signal from uncertain data," Bank of England working papers 336, Bank of England.
- Eklund, Jana & Kapetanios, George, 2008.
"A review of forecasting techniques for large datasets,"
National Institute Economic Review, National Institute of Economic and Social Research, vol. 203, pages 109-115, January.
- Jana Eklund & George Kapetanios, 2008. "A review of forecasting techniques for large datasets," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 109-115, January.
See citations under working paper version above.- Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.
- Jana Eklund & Sune Karlsson, 2007.
"Forecast Combination and Model Averaging Using Predictive Measures,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 329-363.
See citations under working paper version above.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging Using Predictive Measures," CEPR Discussion Papers 5268, C.E.P.R. Discussion Papers.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging using Predictive Measures," Working Paper Series 191, Sveriges Riksbank (Central Bank of Sweden).
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ETS: Econometric Time Series (8) 2005-10-22 2005-12-09 2007-04-21 2008-02-09 2008-04-04 2009-02-14 2010-12-11 2011-07-27. Author is listed
- NEP-ECM: Econometrics (6) 2005-10-22 2007-04-21 2007-11-03 2008-04-04 2009-02-14 2010-12-11. Author is listed
- NEP-FOR: Forecasting (6) 2005-10-22 2005-12-09 2007-04-21 2008-02-09 2008-04-04 2010-12-11. Author is listed
- NEP-CBA: Central Banking (5) 2007-04-21 2008-04-04 2009-02-14 2010-12-11 2011-07-27. Author is listed
- NEP-CMP: Computational Economics (1) 2007-11-03
- NEP-ICT: Information and Communication Technologies (1) 2008-02-16
- NEP-LAB: Labour Economics (1) 2007-11-03
- NEP-MAC: Macroeconomics (1) 2008-04-04
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