Deutsche forschungsintensive Industrie: Feuerprobe in der Krise bestanden?
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DOI: 10.3790/vjh.80.3.35
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- Hyndman, Rob J. & Khandakar, Yeasmin, 2008.
"Automatic Time Series Forecasting: The forecast Package for R,"
Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
- Rob J. Hyndman & Yeasmin Khandakar, 2007. "Automatic time series forecasting: the forecast package for R," Monash Econometrics and Business Statistics Working Papers 6/07, Monash University, Department of Econometrics and Business Statistics.
- Marcel P. Timmer & Mary O’Mahony & Bart van Ark, 2007. "EU KLEMS Growth and Productivity Accounts: An Overview," International Productivity Monitor, Centre for the Study of Living Standards, vol. 14, pages 71-85, Spring.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Francis X. Diebold & Jose A. Lopez, 1995.
"Forecast evaluation and combination,"
Research Paper
9525, Federal Reserve Bank of New York.
- Francis X. Diebold & Jose A. Lopez, 1996. "Forecast Evaluation and Combination," NBER Technical Working Papers 0192, National Bureau of Economic Research, Inc.
- 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.
- Mary O'Mahony & Marcel P. Timmer, 2009.
"Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database,"
Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
- Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
- Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Burcu Erdogan & Hendrik Hagedorn & Vladimir Kuzin & Katharina Moll & Maximilian Podstawski & Jasper Scheppe &, 2010. "Sommergrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(26), pages 2-28.
- Schiersch, Alexander & Belitz, Heike & Gornig, Martin, 2011. "Fortschreibung internationaler Wirtschaftsstrukturdaten für FuE-intensive Industrien," Studien zum deutschen Innovationssystem 5-2011, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
- Heike Belitz & Martin Gornig & Alexander Schiersch, 2011. "Wertschöpfung und Produktivität wieder stark gestiegen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 78(17), pages 5-10.
- Heike Belitz & Martin Gornig & Alexander Schiersch, 2010. "Deutsche Industrie durch forschungsintensive Güter erfolgreich," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(9), pages 2-10.
- Ferdinand Fichtner & Simon Junker & Kerstin Bernoth & Karl Brenke & Christian Dreger & Christoph Große Steffen & Beate R. Jochimsen & Florian Mölders & Katharina Pijnenburg, 2011. "Sommergrundlinien 2011," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 78(26/27), pages 3-27.
- Rammer, Christian & Aschhoff, Birgit & Crass, Dirk & Doherr, Thorsten & Köhler, Christian & Peters, Bettina & Schubert, Torben & Schwiebacher, Franz, 2011. "Innovationsverhalten der deutschen Wirtschaft: Indikatorenbericht zur Innovationserhebung 2010," The Annual German Innovation Survey, Key Figures Reports 111708, ZEW - Leibniz Centre for European Economic Research.
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Cited by:
- Alexander S. Kritikos & Anne Konrad, 2011. "Der Forschungsstandort Deutschland nach der Krise: Editorial," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 80(3), pages 5-12.
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More about this item
Keywords
Specialization; labor productivity; manufacturing;All these keywords.
JEL classification:
- O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
- O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
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