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Forecasting Industrial Production in the Euro Area
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Cited by:
- Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
- Giancarlo Bruno & Claudio Lupi, 2004.
"Forecasting industrial production and the early detection of turning points,"
Empirical Economics, Springer, vol. 29(3), pages 647-671, September.
- Giancarlo Bruno & Claudio Lupi, 2001. "Forecasting Industrial Production and the Early Detection of Turning Points," Econometrics 0110004, University Library of Munich, Germany.
- Bruno, Giancarlo & Lupi, Claudio, 2003. "Forecasting Industrial Production and the Early Detection of Turning Points," Economics & Statistics Discussion Papers esdp03004, University of Molise, Department of Economics.
- Bruno Giancarlo & Lupi Claudio, 2001. "Forecasting Industrial Production and the Early Detection of Turning POints," ISAE Working Papers 20, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Marcin Olkiewicz, 2022. "The Impact of Economic Indicators on the Evolution of Business Confidence during the COVID-19 Pandemic Period," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
- Keen Meng Choy & Hwee Kwan Chow, 2004.
"Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach,"
Econometric Society 2004 Australasian Meetings
223, Econometric Society.
- Hwee Kwan Chow & Keen Meng Choy, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Working Papers 16-2004, Singapore Management University, School of Economics.
- Karl Taylor & Robert McNabb, 2007.
"Business Cycles and the Role of Confidence: Evidence for Europe,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, April.
- Bob McNabb & Karl Taylor, 2002. "Business Cycles and the Role of Confidence: Evidence from Europe," Discussion Papers in Economics 02/3, Division of Economics, School of Business, University of Leicester.
- Gabriel Caldas Montes & André Almeida, 2017. "Corruption and business confidence: a panel data analysis," Economics Bulletin, AccessEcon, vol. 37(4), pages 2692-2702.
- Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
- Golinelli, Roberto & Parigi, Giuseppe, 2014.
"Tracking world trade and GDP in real time,"
International Journal of Forecasting, Elsevier, vol. 30(4), pages 847-862.
- Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
- Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sektorale Prognosen im Verarbeitenden Gewerbe," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
- Sudeshna Ghosh, 2021. "Business Confidence and Business Tourism in Japan," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-23, February.
- Muhammad Ejaz & Javed Iqbal, 2021.
"Estimation and Forecasting of Industrial Production Index,"
Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 26(1), pages 1-30, Jan-June.
- Muhammad Ejaz & Javed Iqbal, 2019. "Estimation and Forecasting of Industrial Production Index," SBP Working Paper Series 103, State Bank of Pakistan, Research Department.
- H. Banikhalid & S. Al-oshaibat, 2023. "Using the Financial Analysis Approach to Forecast Industrial Production: A Guide from Jordan," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(5), pages 1-91, February.
- Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017.
"The role of indicator selection in nowcasting euro-area GDP in pseudo-real time,"
Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
- A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
- Konstantinou, Panagiotis & Tagkalakis, Athanasios, 2011.
"Boosting confidence: Is there a role for fiscal policy?,"
Economic Modelling, Elsevier, vol. 28(4), pages 1629-1641, July.
- Panagiotis Konstantinou & Athanasios Tagkalakis, 2010. "Boosting confidence: is there a role for fiscal policy?," Working Papers 113, Bank of Greece.
- Panagiotis Konstantinou & Athanasios Tagkalakis, 2011. "Boosting Confidence: Is there a Role for Fiscal Policy?," Discussion Paper Series 2011_03, Department of Economics, University of Macedonia, revised Mar 2011.
- Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235, Bank for International Settlements.
- Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023.
"Nowcasting industrial production using linear and non-linear models of electricity demand,"
Energy Economics, Elsevier, vol. 126(C).
- Giulio Galdi & Roberto Casarin & Davide Ferrari & Carlo Fezzi & Francesco Ravazzolo, 2022. "Nowcasting industrial production using linear and non-linear models of electricity demand," DEM Working Papers 2022/2, Department of Economics and Management.
- André Filipe Guedes Almeida & Gabriel Caldas Montes, 2020. "Effects of crime and violence on business confidence: evidence from Rio de Janeiro," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1669-1688, May.
- Carluccio Bianchi & Alessandro Carta & Dean Fantazzini & Maria Elena De Giuli & Mario Maggi, 2010.
"A copula-VAR-X approach for industrial production modelling and forecasting,"
Applied Economics, Taylor & Francis Journals, vol. 42(25), pages 3267-3277.
- Carluccio Bianchi & Alessandro Carta & Dean Fantazzini & Maria Elena De Giuli & Mario A. Maggi, 2009. "A Copula-VAR-X Approach for Industrial Production Modelling and Forecasting," Quaderni di Dipartimento 105, University of Pavia, Department of Economics and Quantitative Methods.
- Chow, Hwee Kwan & Choy, Keen Meng, 2006. "Forecasting the global electronics cycle with leading indicators: A Bayesian VAR approach," International Journal of Forecasting, Elsevier, vol. 22(2), pages 301-315.
- Uju Violet Alola & Darya Baeva & Andrew Adewale Alola, 2023. "Determining the (A)symmetric Role of Business–Consumer Confidence in Outward–Inward Tourism in Russia: A Competitiveness Perspective," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 22-34, June.
- Helder Ferreira Mendonça & André Filipe Guedes Almeida, 2019. "Importance of credibility for business confidence: evidence from an emerging economy," Empirical Economics, Springer, vol. 57(6), pages 1979-1996, December.
- Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
- Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
- Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
- Bruno, Giancarlo & Lupi, Claudio, 2003.
"Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data,"
MPRA Paper
42332, University Library of Munich, Germany.
- Bruno Giancarlo & Lupi Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," ISAE Working Papers 33, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Marcin Olkiewicz, 2023. "Overview of Activities in the Field of Occupational Health and Safety during the COVID-19 Period Taken by Polish SMEs," IJERPH, MDPI, vol. 20(9), pages 1-11, April.
- Carstensen Kai & Wohlrabe Klaus & Ziegler Christina, 2011.
"Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production,"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 82-106, February.
- Kai Carstensen & Klaus Wohlrabe & Christina Ziegler, 2010. "Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production," CESifo Working Paper Series 3158, CESifo.
- Carstensen, Kai & Wohlrabe, Klaus & Ziegler, Christina, 2011. "Predictive ability of business cycle indicators under test: A case study for the Euro area industrial production," Munich Reprints in Economics 19953, University of Munich, Department of Economics.
- Carstensen, Kai & Wohlrabe, Klaus & Ziegler, Christina, 2010. "Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production," Discussion Papers in Economics 11442, University of Munich, Department of Economics.
- 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.
- 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, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo.
- 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.
- Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting GDP at the regional level with many predictors," ERSA conference papers ersa13p15, European Regional Science Association.
- Lim, King Yoong & Morris, Diego, 2023. "Business optimism and the innovation-profitability nexus: Introducing the COVID-19 adaptable capacity framework," Research Policy, Elsevier, vol. 52(1).
- Bilge Pekçaglayan, 2021. "Determinants of Industrial Production in Turkey: ARDL Model," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(71-2), pages 435-456, December.
- Osterloh, Steffen, 2018. "How do politics affect economic sentiment? The effects of uncertainty and policy preferences," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181614, Verein für Socialpolitik / German Economic Association.
- Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
- Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
- Ece Oral & Dilara Ece & Turknur Hamsici, 2005. "Building Up a Real Sector Business Confidence Index for Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 5(1), pages 23-54.
- Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
- Rünstler, Gerhard & Sédillot, Franck, 2003. "Short-term estimates of euro area real GDP by means of monthly data," Working Paper Series 276, European Central Bank.
- Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.