Forecast Evaluation of European Commission Survey Indicators
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DOI: 10.1787/jbcma-v2005-art2-en
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Cited by:
- 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].
- 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?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ERSA conference papers ersa15p756, European Regional Science Association.
- 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.
- Robert Lehmann, 2019. "Forecasting Exports across Europe: What Are the Superior Survey Indicators?," CESifo Working Paper Series 7846, CESifo.
- Bas Aarle & Cindy Moons, 2017. "Sentiment and Uncertainty Fluctuations and Their Effects on the Euro Area Business Cycle," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 225-251, November.
- Christian Seiler, 2015.
"On the robustness of balance statistics with respect to nonresponse,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2014(2), pages 45-62.
- Christian Seiler, 2012. "On the Robustness of the Balance Statistics with respect to Nonresponse," ifo Working Paper Series 126, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Kieran Mc Morrow & Werner Roeger & Valerie Vandermeulen, 2017. "Evaluating Medium Term Forecasting Methods and their Implications for EU Output Gap Calculations," European Economy - Discussion Papers 070, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52.
- Luc Dresse & Christophe Van Nieuwenhuyze, 2008. "Do survey indicators let us see the business cycle ? A frequency decomposition," Working Paper Research 131, National Bank of Belgium.
- Hyejung Moon & Jungick Lee, 2013. "Forecast evaluation of economic sentiment indicator for the Korean economy," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 180-190, Bank for International Settlements.
- Michael Graff, 2006.
"Ein multisektoraler Sammelindikator für die Schweizer Konjunktur,"
Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(IV), pages 529-577, December.
- Michael Graff, 2005. "Ein multisektoraler Sammelindikator fuer die Schweizer Konjunktur," KOF Working papers 05-107, KOF Swiss Economic Institute, ETH Zurich.
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Keywords
Business Cycle; Confidence Indicators; Forecasting; Forecast Evaluation;All these keywords.
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