Der Blick in die Glaskugel wird schärfer: EineEvaluation der Treffsicherheit der ifo DresdenKonjunkturprognosen
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- 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.
- Wolfgang Nierhaus, 2014. "Wirtschaftskonjunktur 2013: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(02), pages 41-46, January.
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Cited by:
- Franziska Fobbe & Robert Lehmann, 2016. "Elektromotoren, Energieversorgung und Erziehung: Die Güte der entstehungsseitigen ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(12), pages 58-63, June.
- Robert Lehmann & Michael Weber, 2016. "Mehr als Kaffeesatzleserei: Eine Evaluation der ifo Prognosen zur Erwerbstätigkeit in Ostdeutschland und Sachsen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(02), pages 22-26, April.
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More about this item
Keywords
Konjunkturprognose; Prognoseverfahren; Neue Bundesländer; Sachsen; Deutschland;All these keywords.
JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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