Do Forecasters Inform or Reassure?: Evaluation of the German Real-Time Data
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(4), pages 269-294.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- António Rua & Fátima Cardoso, 2011. "The Quarterly National Accounts in real-time: an analysis of the revisions over the last decade," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
- Helmut Herwartz & Konstantin A. Kholodilin, 2014.
"In‐Sample and Out‐of‐Sample Prediction of stock Market Bubbles: Cross‐Sectional Evidence,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 15-31, January.
- Helmut Herwartz & Konstantin A. Kholodilin, 2011. "In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence," Discussion Papers of DIW Berlin 1173, DIW Berlin, German Institute for Economic Research.
- Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
- Jacopo Cimadomo, 2016.
"Real-Time Data And Fiscal Policy Analysis: A Survey Of The Literature,"
Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 302-326, April.
- Jacopo Cimadomo, 2011. "Real-time data and fiscal policy analysis: a survey of the literature," Working Papers 11-25, Federal Reserve Bank of Philadelphia.
- Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
- Cimadomo, Jacopo, 2011. "Real-time data and fiscal policy analysis: a survey of the literature," Working Paper Series 1408, European Central Bank.
- Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
- Heilemann Ullrich & Stekler Herman O., 2013.
"Has The Accuracy of Macroeconomic Forecasts for Germany Improved?,"
German Economic Review, De Gruyter, vol. 14(2), pages 235-253, May.
- Ullrich Heilemann & Herman O. Stekler, 2013. "Has The Accuracy of Macroeconomic Forecasts for Germany Improved?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 235-253, May.
- Helder Ferreira de Mendonça & Vítor Ribeiro Laufer Calafate, 2021. "Lack of fiscal transparency and economic growth expectations: an empirical assessment from a large emerging economy," Empirical Economics, Springer, vol. 61(6), pages 2985-3027, December.
- de Mendonça, Helder Ferreira & Díaz, Raime Rolando Rodríguez, 2023. "Can ignorance about the interest rate and macroeconomic surprises affect the stock market return? Evidence from a large emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
- Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.
- de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
More about this item
Keywords
Quality of statistical data; real-time data; signal-to-noise ratio; forecasts; revisions;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2009-02-22 (Central Banking)
- NEP-EEC-2009-02-22 (European Economics)
- NEP-FOR-2009-02-22 (Forecasting)
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:diw:diwwpp:dp858. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.