Forecasting GDP all over the world using leading indicators based on comprehensive survey data
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DOI: 10.1080/00036846.2019.1624915
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- Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(54), pages 5802-5816.
- Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," Munich Reprints in Economics 78264, University of Munich, Department of Economics.
- Johanna Garnitz & Robert Lehmann & Klaus Wohlrabe, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," CESifo Working Paper Series 7691, CESifo.
- Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2017. "Forecasting GDP all over the World: Evidence from Comprehensive Survey Data," MPRA Paper 81772, University Library of Munich, Germany.
References listed on IDEAS
- Robert Lehmann & Antje Weyh, 2016.
"Forecasting Employment in Europe: Are Survey Results Helpful?,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
- Robert Lehmann & Antje Weyh, 2014. "Forecasting employment in Europe: Are survey results helpful?," ifo Working Paper Series 182, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Lehmann, Robert & Weyh, Antje, 2015. "Forecasting employment in Europe: Are survey results helpful?," IAB-Discussion Paper 201530, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Laurent Ferrara & Clément Marsilli, 2019.
"Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach,"
The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
- L. Ferrara & C. Marsilli, 2014. "Nowcasting global economic growth: A factor-augmented mixed-frequency approach," Working papers 515, Banque de France.
- Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor-augmented mixed-frequency approach," Post-Print hal-01636761, HAL.
- 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.
- Boumans Dorine & Garnitz Johanna, 2017.
"Ifo World Economic Survey Database – An International Economic Expert Survey,"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 71-80, February.
- Boumans, Dorine & Garnitz, Johanna, 2017. "Ifo World Economic Survey Database - An International Economic Expert Survey," Munich Reprints in Economics 55041, University of Munich, Department of Economics.
- Croushore, Dean, 2006. "Forecasting with Real-Time Macroeconomic Data," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 17, pages 961-982, Elsevier.
- Robert Lehmann, 2021.
"Forecasting exports across Europe: What are the superior survey indicators?,"
Empirical Economics, Springer, vol. 60(5), pages 2429-2453, May.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ERSA conference papers ersa15p756, European Regional Science Association.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann, 2019. "Forecasting Exports across Europe: What Are the Superior Survey Indicators?," CESifo Working Paper Series 7846, CESifo.
- Lehmann, Robert, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112847, Verein für Socialpolitik / German Economic Association.
- Olivier Coibion & Yuriy Gorodnichenko, 2012.
"What Can Survey Forecasts Tell Us about Information Rigidities?,"
Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
- Olivier Coibion & Yuriy Gorodnichenko, 2008. "What Can Survey Forecasts Tell Us About Informational Rigidities?," NBER Working Papers 14586, National Bureau of Economic Research, Inc.
- Yuriy Gorodnichenko & Olivier Coibion, 2010. "What can survey forecasts tell us about informational rigidities?," 2010 Meeting Papers 277, Society for Economic Dynamics.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Anna Stangl, 2007. "World Economic Survey," Chapters, in: Georg Goldrian (ed.), Handbook of Survey-Based Business Cycle Analysis, chapter 5, Edward Elgar Publishing.
- Banerjee, Anindya & Marcellino, Massimiliano, 2006.
"Are there any reliable leading indicators for US inflation and GDP growth?,"
International Journal of Forecasting, Elsevier, vol. 22(1), pages 137-151.
- Anindya BANERJEE & Massimiliano MARCELLINO, 2002. "Are There Any Reliable Leading Indicators for US Inflation and GDP Growth?," Economics Working Papers ECO2002/21, European University Institute.
- Anindya Banerjee & Massimiliano Marcellino, 2003. "Are There Any Reliable Leading Indicators for U.S. Inflation and GDP Growth?," Working Papers 236, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Rongxi Zhou & Xianliang Wang & Guanqun Tong, 2013. "Forecasting macroeconomy based on the term structure of credit spreads: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1363-1367, October.
- Michail Kiriakidis & Antonios Kargas, 2013. "Greek GDP forecast estimates," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 767-772, May.
- Hutson, Mark & Joutz, Fred & Stekler, Herman, 2014. "Interpreting and evaluating CESIfo's World Economic Survey directional forecasts," Economic Modelling, Elsevier, vol. 38(C), pages 6-11.
- Lehmann Robert & Wohlrabe Klaus, 2015.
"Forecasting GDP at the Regional Level with Many Predictors,"
German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
- Robert Lehmann & Klaus Wohlrabe, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, Verein für Socialpolitik, vol. 16(2), pages 226-254, May.
- Robert Lehmann & Klaus Wohlrabe, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo.
- Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting GDP at the regional level with many predictors," ERSA conference papers ersa13p15, European Regional Science Association.
- Lehmann, Robert & Wohlrabe, Klaus, 2013. "Forecasting GDP at the regional level with many predictors," Discussion Papers in Economics 17104, University of Munich, Department of Economics.
- Evgenia Kudymowa & Johanna Garnitz & Klaus Wohlrabe, 2014. "Ifo World Economic Survey and the Business Cycle in Selected Countries," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(04), pages 51-57, January.
- Lahiri, Kajal & Zhao, Yongchen, 2019.
"International propagation of shocks: A dynamic factor model using survey forecasts,"
International Journal of Forecasting, Elsevier, vol. 35(3), pages 929-947.
- Kajal Lahiri & Yongchen Zhao, 2018. "International Propagation of Shocks: A Dynamic Factor Model Using Survey Forecasts," Working Papers 2018-04, Towson University, Department of Economics, revised Sep 2018.
- Duval, Romain & Li, Nan & Saraf, Richa & Seneviratne, Dulani, 2016. "Value-added trade and business cycle synchronization," Journal of International Economics, Elsevier, vol. 99(C), pages 251-262.
- Inklaar, Robert & Jong-A-Pin, Richard & de Haan, Jakob, 2008.
"Trade and business cycle synchronization in OECD countries--A re-examination,"
European Economic Review, Elsevier, vol. 52(4), pages 646-666, May.
- Robert Inklaar & Richard Jong-A-Pin & Jakob de Haan & Jakob de Haan, 2005. "Trade and Business Cycle Synchronization in OECD Countries - a Re-examination," CESifo Working Paper Series 1546, CESifo.
- Olivier Coibion & Yuriy Gorodnichenko, 2015.
"Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts,"
American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
- Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," Working Papers 102, Department of Economics, College of William and Mary.
- Mr. Olivier Coibion & Mr. Yuriy Gorodnichenko, 2012. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," IMF Working Papers 2012/296, International Monetary Fund.
- Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," NBER Working Papers 16537, National Bureau of Economic Research, Inc.
- Jordi Pons-Novell, 2006. "An analysis of a panel of Spanish GDP forecasts," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1287-1292.
- Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010.
"Are disaggregate data useful for factor analysis in forecasting French GDP?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
- Barhoumi, K. & Darné, O. & Ferrara, L., 2009. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Working papers 232, Banque de France.
- 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.
- Ferdinand Fichtner & Rasmus Rüffer & Bernd Schnatz, 2011. "The Forecasting Performance of Composite Leading Indicators: Does Globalisation Matter?," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 55-72.
- Oliver Hülsewig & Johannes Mayr & Timo Wollmershäuser, 2008. "Forecasting Euro Area Real GDP: Optimal Pooling of Information," CESifo Working Paper Series 2371, CESifo.
- Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
- Steffen Henzel & Timo Wollmershäuser, 2006. "Quantifying Inflation Expectations with the Carlson-Parkin Method: A Survey-based Determination of the Just Noticeable Difference," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 321-352.
- Alessandro Girardi & Christian Gayer & Andreas Reuter, 2016.
"The Role of Survey Data in Nowcasting Euro Area GDP Growth,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(5), pages 400-418, August.
- Alessandro Girardi & Andreas Reuter & Christian Gayer, 2014. "The role of survey data in nowcasting euro area GDP growth," European Economy - Economic Papers 2008 - 2015 538, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- Weber, Enzo & Zika, Gerd, 2013. "Labour market forecasting : is disaggregation useful?," IAB-Discussion Paper 201314, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.
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JEL classification:
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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