Forecasting world output: the rising importance of emerging economies
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Cited by:
- Jarko Fidrmuc & Iikka Korhonen & Ivana Bátorová, 2013.
"China in the World Economy: Dynamic Correlation Analysis of Business Cycles,"
CESifo Economic Studies, CESifo Group, vol. 59(2), pages 392-411, June.
- Jarko Fidrmuc & Ivana Batorova, 2008. "China in the World Economy: Dynamic Correlation Analysis of Business Cycles," WIDER Working Paper Series RP2008-02, World Institute for Development Economic Research (UNU-WIDER).
- Fidrmuc, Jarko & Korhonen, Iikka & Bátorová, Ivana, 2008. "China in the world economy: dynamic correlation analysis of business cycles," BOFIT Discussion Papers 7/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
- Jarko, Fidrmuc & Iikka, Korhonen & Ivana, Bátorová, 2011. "China in the World Economy: Dynamic Correlation Analysis of Business Cycles," CEI Working Paper Series 2011-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
- Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
- 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.
- Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
- Drechsel, Katja & Giesen, Sebastian & Lindner, Axel, 2014.
"Outperforming IMF Forecasts by the Use of Leading Indicators,"
VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy
100393, Verein für Socialpolitik / German Economic Association.
- Drechsel, Katja & Giesen, Sebastian & Lindner, Axel, 2014. "Outperforming IMF Forecasts by the Use of Leading Indicators," IWH Discussion Papers 4/2014, Halle Institute for Economic Research (IWH).
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More about this item
Keywords
GDP forecast; emerging and Asian markets; bridge models; forecasting ability;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CWA-2012-03-21 (Central and Western Asia)
- NEP-FOR-2012-03-21 (Forecasting)
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