Economic forecasting: editors’ introduction
Author
Abstract
Suggested Citation
DOI: 10.1007/s00181-019-01820-3
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
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015.
"Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 837-862, October.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2013. "Real-Time Nowcasting with a Bayesian Mixed Frequency Model with Stochastic Volatility," CEPR Discussion Papers 9312, C.E.P.R. Discussion Papers.
- Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004.
"The MIDAS Touch: Mixed Data Sampling Regression Models,"
University of California at Los Angeles, Anderson Graduate School of Management
qt9mf223rs, Anderson Graduate School of Management, UCLA.
- Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," CIRANO Working Papers 2004s-20, CIRANO.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Magnus Kvåle Helliesen & Håvard Hungnes & Terje Skjerpen, 2022.
"Revisions in the Norwegian National Accounts: accuracy, unbiasedness and efficiency in preliminary figures,"
Empirical Economics, Springer, vol. 62(3), pages 1079-1121, March.
- Magnus Kvåle Helliesen & Håvard Hungnes & Terje Skjerpen, 2020. "Revisions in the Norwegian National Accounts. Accuracy, unbiasedness and efficiency in preliminary figures," Discussion Papers 924, Statistics Norway, Research Department.
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.- Michael W. McCracken & Michael T. Owyang & Tatevik Sekhposyan, 2021.
"Real-Time Forecasting and Scenario Analysis Using a Large Mixed-Frequency Bayesian VAR,"
International Journal of Central Banking, International Journal of Central Banking, vol. 17(71), pages 1-41, December.
- Michael W. McCracken & Michael T. Owyang & Tatevik Sekhposyan, 2015. "Real-Time Forecasting and Scenario Analysis using a Large Mixed-Frequency Bayesian VAR," Working Papers 2015-030, Federal Reserve Bank of St. Louis, revised 10 Apr 2020.
- Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
- Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
- 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.
- Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2015.
"Markov-switching mixed-frequency VAR models,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 692-711.
- Marcellino, Massimiliano & Foroni, Claudia, 2014. "Markov-Switching Mixed-Frequency VAR Models," CEPR Discussion Papers 9815, C.E.P.R. Discussion Papers.
- Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022. "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers 964, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Foroni, Claudia & Marcellino, Massimiliano & Stevanovic, Dalibor, 2022.
"Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis,"
International Journal of Forecasting, Elsevier, vol. 38(2), pages 596-612.
- Claudia Foroni & Massimiliano Marcellino & Dalibor Stevanovic, 2020. "Forecasting the COVID-19 recession and recovery: Lessons from the financial crisis," Working Papers 20-14, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2020.
- Claudia Foroni & Massimiliano Marcellino & Dalibor Stevanovic, 2020. "Forecasting the Covid-19 Recession and Recovery: Lessons from the Financial Crisis," CIRANO Working Papers 2020s-32, CIRANO.
- Marcellino, Massimiliano & Foroni, Claudia & Stevanovic, Dalibor, 2020. "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," CEPR Discussion Papers 15114, C.E.P.R. Discussion Papers.
- Foroni, Claudia & Marcellino, Massimiliano & Stevanović, Dalibor, 2020. "Forecasting the Covid-19 recession and recovery: lessons from the financial crisis," Working Paper Series 2468, European Central Bank.
- Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
- George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
- Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
- David Kohns & Arnab Bhattacharjee, 2019. "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series 010, Centre for Energy Economics Research and Policy, Heriot-Watt University.
- Boriss Siliverstovs, 2020.
"Assessing nowcast accuracy of US GDP growth in real time: the role of booms and busts,"
Empirical Economics, Springer, vol. 58(1), pages 7-27, January.
- Boriss Siliverstovs, 2019. "Assessing Nowcast Accuracy of US GDP Growth in Real Time: The Role of Booms and Busts," Working Papers 2019/01, Latvijas Banka.
- Edward S. Knotek & Saeed Zaman, 2017.
"Nowcasting U.S. Headline and Core Inflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
- Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
- Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
- Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
- João C. Claudio & Katja Heinisch & Oliver Holtemöller, 2020.
"Nowcasting East German GDP growth: a MIDAS approach,"
Empirical Economics, Springer, vol. 58(1), pages 29-54, January.
- Claudio, João C. & Heinisch, Katja & Holtemöller, Oliver, 2019. "Nowcasting East German GDP growth: A MIDAS approach," IWH Discussion Papers 24/2019, Halle Institute for Economic Research (IWH).
- Galvão, Ana Beatriz, 2013.
"Changes in predictive ability with mixed frequency data,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
- Ana Beatriz Galvão, 2007. "Changes in Predictive Ability with Mixed Frequency Data," Working Papers 595, Queen Mary University of London, School of Economics and Finance.
- Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
- Marina Diakonova & Luis Molina & Hannes Mueller & Javier J. Pérez & Cristopher Rauh, 2022.
"The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting,"
Working Papers
2232, Banco de España.
- Diakonova, M. & Molina, L. & Mueller, H. & Pérez, J. J. & Rauh, C., 2024. "The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting," Cambridge Working Papers in Economics 2418, Faculty of Economics, University of Cambridge.
- Diakonova, M. & Molina, L. & Mueller, H. & Pérez, J. J. & Rauh, C., 2024. "The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting," Janeway Institute Working Papers 2413, Faculty of Economics, University of Cambridge.
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:spr:empeco:v:58:y:2020:i:1:d:10.1007_s00181-019-01820-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.