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Micro Data at the Ifo Institute for Economic Research – The "Ifo Business Survey", Usage and Access

Listed author(s):
  • Sascha Becker
  • Klaus Wohlrabe

    ()

The Ifo Institute for Economic Research has been conducting regular business surveys since its foundation in 1949. The most well-known of Ifo’s surveys is the Ifo Business Survey (ifo Konjunkturtest). The micro data of the Ifo Business Survey are accessible to external researchers on-site at Ifo as part of the Ifo DataPool, Ifo’s research data centre. This article gives an introduction of the survey questions and data coverage, an overview of past and present research with the Ifo Business Survey, and describes the data access procedure.

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File URL: http://www.cesifo-group.de/DocDL/IfoWorkingPaper-47.pdf
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Paper provided by ifo Institute - Leibniz Institute for Economic Research at the University of Munich in its series ifo Working Paper Series with number 47.

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Date of creation: 2007
Handle: RePEc:ces:ifowps:_47
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  4. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
  5. Flaig, Gebhard, 2003. "Seasonal and Cyclical Properties of Ifo Business Test Variables," Munich Reprints in Economics 20379, University of Munich, Department of Economics.
  6. John Foster & Burkhard Flieth, 2002. "Interactive expectations," Journal of Evolutionary Economics, Springer, vol. 12(4), pages 375-395.
  7. Zimmermann, Klaus F, 1991. "The Employment Consequences of Technological Advance, Demand and Labor Costs in 16 German Industries," Empirical Economics, Springer, vol. 16(2), pages 253-266.
  8. Flaig Gebhard, 2003. "Seasonal and Cyclical Properties of Ifo Business Test Variables / Saisonale und zyklische Eigenschaften von ifo Konjunkturtest Variablen," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(5), pages 556-570, October.
  9. Klaus Abberger, 2006. "Qualitative Business Surveys in Manufacturing and Industrial Production - What can be Learned from Industry Branch Results?," ifo Working Paper Series 31, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  10. Kholodilin Konstantin Arkadievich & Siliverstovs Boriss, 2006. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(3), pages 234-259, June.
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  12. Dreger, Christian & Schumacher, Christian, 2002. "Estimating large-scale factor models for economic activity in Germany : do they outperform simpler models?," HWWA Discussion Papers 199, Hamburg Institute of International Economics (HWWA).
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  18. Klaus Abberger & Klaus Wohlrabe, 2006. "Einige Prognoseeigenschaften des ifo Geschäftsklimas - Ein Überblick über die neuere wissenschaftliche Literatur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
  19. Konig, Heinz & Nerlove, Marc & Oudiz, Gilles, 1981. "On the formation of price expectations : An analysis of business test data by log-linear probability models," European Economic Review, Elsevier, vol. 16(1), pages 103-138.
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  24. Goldrian Georg, 2003. "Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen. Eine Anmerkung," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(2), pages 223-226, April.
  25. Klaus Abberger, 2007. "Forecasting Quarter-on-Quarter Changes of German GDP with Monthly Business Tendency Survey Results," ifo Working Paper Series 40, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  26. Gebhard Flaig & Claudia Plötscher, 2000. "Estimating the Output Gap Using Business Survey Data - A Bivariate Structural Time Series Model for the German Economy," CESifo Working Paper Series 233, CESifo Group Munich.
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  32. Klaus Abberger, 2005. "The Use of Qualitative Business Tendency Surveys for Forecasting Business Investment in Germany," ifo Working Paper Series _no.13, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  33. Christian Dreger & Christian Schumacher, 2005. "Out-of-sample Performance of Leading Indicators for the German Business Cycle: Single vs. Combined Forecasts," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(1), pages 71-87.
  34. Kawasaki, Seiichi & McMillan, John & Zimmermann, Klaus F, 1982. "Disequilibrium Dynamics: An Empirical Study," American Economic Review, American Economic Association, vol. 72(5), pages 992-1004, December.
  35. Benner, Joachim & Meier, Carsten-Patrick, 2005. "Was leisten Stimmungsindikatoren für die Prognose des realen Bruttoinlandsprodukts in Deutschland? Eine Echtzeit-Analyse," Open Access Publications from Kiel Institute for the World Economy 3725, Kiel Institute for the World Economy (IfW).
  36. Klaus Abberger, 2006. "Another Look at the Ifo Business Cycle Clock," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 431-443.
  37. Stefan Lachenmaier, 2007. "Effects of innovation on firm performance," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 28, September.
  38. Hüfner Felix P. & Schröder Michael, 2002. "Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen: Ein ökonometrischer Vergleich / Forecasting German industrial Production: An Econometric Comparison of ifo- and ZEW-Business ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(3), pages 316-336, June.
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