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

  • Sascha O. Becker
  • Klaus Wohlrabe

    ()

The Ifo Institute for Economic Research has been conducting regular business surveyssince its foundation in 1949. The most well-known of Ifo’s surveys is the Ifo BusinessSurvey (ifo Konjunkturtest). The micro data of the Ifo Business Survey are accessible toexternal 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 overviewof past and present research with the Ifo Business Survey, and describes the dataaccess procedure.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-Ifo_Working_Papers/wp-ifo-2005-2010/IfoWorkingPaper-47.pdf
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Paper provided by Ifo Institute for Economic Research at the University of Munich in its series Ifo Working Paper Series with number Ifo Working Paper No. 47.

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Date of creation: 2007
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Handle: RePEc:ces:ifowps:_47
Contact details of provider: Postal: Poschingerstrasse 5, 81679 Munich
Phone: +49 (89) 9224-0
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Web page: http://www.cesifo-group.deEmail:


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  1. Klaus Abberger, 2004. "Nonparametric Regression and the Detection of Turning Points in the Ifo Business Climate," CESifo Working Paper Series 1283, CESifo Group Munich.
  2. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
  3. Klaus Abberger, 2007. "Forecasting Quarter-on-Quarter Changes of German GDP with Monthly Business Tendency Survey Results," Ifo Working Paper Series Ifo Working Paper No. 40, Ifo Institute for Economic Research at the University of Munich.
  4. Ross, D. R. & Zimmermann, K. F., 1995. "Evaluating reported determinants of labour demand," Labour Economics, Elsevier, vol. 2(1), pages 102-102, March.
  5. Flaig, Gebhard & Stadler, Manfred, 1994. "Success Breeds Success. The Dynamics of the Innovation Process," Empirical Economics, Springer, vol. 19(1), pages 55-68.
  6. Ulrich FRITSCHE & Vladimir KOUZINE, . "Prediction of Business Cycle Turning Points in Germany," EcoMod2004 330600054, EcoMod.
  7. Gebhard Flaig & Claudia Ploetscher, 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.
  8. Flaig, Gebhard, 2003. "Seasonal and Cyclical Properties of Ifo Business Test Variables," Munich Reprints in Economics 20379, University of Munich, Department of Economics.
  9. Klaus Abberger, 2005. "The Use of Qualitative Business TendencySurveys for Forecasting Business Investmentin Germany," Ifo Working Paper Series Ifo Working Papers No.13, Ifo Institute for Economic Research at the University of Munich.
  10. 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).
  11. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Macroeconomics 0004005, EconWPA.
  12. Konstantin A. Kholodilin & Boriss Siliverstovs, 2005. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Discussion Papers of DIW Berlin 522, DIW Berlin, German Institute for Economic Research.
  13. 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.
  14. Georg (Hrsg.) Goldrian, 2004. "Handbuch der umfragebasierten Konjunkturforschung," ifo Beiträge zur Wirtschaftsforschung, Ifo Institute for Economic Research at the University of Munich, number 15.
  15. Klaus Abberger & Klaus Wohlrabe, 2006. "Einige Prognoseeigenschaften des ifo Geschäftsklimas - Ein Überblick über die neuere wissenschaftliche Literatur," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
  16. König, Heinz & Laisney, François & Lechner, Michael & Pohlmeier, Winfried, 1993. "On the dynamics of process innovative activity: an empirical investigation using panel data," ZEW Discussion Papers 93-08, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  17. 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 253-66.
  18. Klaus Abberger, 2006. "Qualitative Business Surveys in Manufacturing and Industrial Production - What can be Learned from Industry Branch Results?," Ifo Working Paper Series Ifo Working Paper No. 31, Ifo Institute for Economic Research at the University of Munich.
  19. Stefan Lachenmaier, 2007. "Effects of innovation on firm performance," ifo Beiträge zur Wirtschaftsforschung, Ifo Institute for Economic Research at the University of Munich, number 28.
  20. Felix Hüfner & Michael Schröder, 2002. "Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen: Ein ökonometrischer Vergleich," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 222(3), pages 316-336.
  21. 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.
  22. Thomas A. Knetsch, 2004. "Evaluating the German Inventory Cycle – Using Data from the Ifo Business Survey," CESifo Working Paper Series 1202, CESifo Group Munich.
  23. Ulrich Fritsche, 2001. "Do Probit Models Help in Forecasting Turning Points in German Business Cycles?," Discussion Papers of DIW Berlin 241, DIW Berlin, German Institute for Economic Research.
  24. Bertschek, Irene, 1995. "Product and Process Innovation as a Response to Increasing Import and Foreign Direct Investment," Journal of Industrial Economics, Wiley Blackwell, vol. 43(4), pages 341-57, December.
  25. Abberger, Klaus, 2007. "Qualitative business surveys and the assessment of employment -- A case study for Germany," International Journal of Forecasting, Elsevier, vol. 23(2), pages 249-258.
  26. Christian Schumacher & Christian Dreger, 2004. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 224(6), pages 731-750, November.
  27. Hohnisch, Martin & Pittnauer, Sabine & Solomon, Sorin & Stauffer, Dietrich, 2005. "Socioeconomic interaction and swings in business confidence indicators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 345(3), pages 646-656.
  28. Klaus Abberger, 2005. "Another Look at the Ifo Business Cycle Clock," Journal of Business Cycle Measurement and Analysis, OECD Publishing,CIRET, vol. 2005(3), pages 431-443.
  29. 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,CIRET, vol. 2005(1), pages 71-87.
  30. Pohlmeier, Winfried, 1992. "On the Simultaneity of Innovations and Market Structure," Empirical Economics, Springer, vol. 17(2), pages 253-72.
  31. Laisney, Francois & Lechner, Michael & Pohlmeier, Winfried, 1992. "Innovation activity and firm heterogeneity: Empirical evidence from West Germany," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 301-320, December.
  32. Kawasaki, Seiichi & McMillan, John & Zimmermann, Klaus F, 1983. "Inventories and Price Inflexibility," Econometrica, Econometric Society, vol. 51(3), pages 599-610, May.
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