IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang

  • Klaus Abberger
  • Sascha O. Becker
  • Barbara Hofmann
  • Klaus Wohlrabe

    ()

Das ifo Institut für Wirtschaftsforschung in München führt seit seiner Gründung im Jahr1949 regelmäßige Unternehmensbefragungen durch. Bisher bestand kein institutionalisierterDatenzugang zu den Mikrodaten für Forscher außerhalb des Institutes. Die Mikrodatenwerden nunmehr im ifo Datapool zusammengefasst. Dieser enthält neben externenDaten umfangreiche Datensätze der vier Standardumfragen des ifo Institutes: desKonjunkturtests, des Investitionstests, des Innovationstests und des World EconomicSurvey. In diesem Beitrag werden Umfang, Bestand, Dokumentation und Zugang zumneuen ifo Datapool beschrieben.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-Ifo_Working_Papers/wp-ifo-2005-2010/IfoWorkingPaper-44.pdf
Download Restriction: no

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. 44.

as
in new window

Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:ces:ifowps:_44
Contact details of provider: Postal: Poschingerstrasse 5, 81679 Munich
Phone: +49 (89) 9224-0
Fax: +49 (89) 985369
Web page: http://www.cesifo-group.de
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Klaus Abberger, 2005. "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.
  2. Klaus Abberger, 2005. "Qualitative Business Surveys and theAssessment of Employment A Case Study for Germany," Ifo Working Paper Series Ifo Working Paper No. 11, Ifo Institute for Economic Research at the University of Munich.
  3. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Macroeconomics 0004005, EconWPA.
  4. 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.
  5. 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.
  6. Heinz Konig & Marc Nerlove & Grilles Oudiz, 1980. "On the Formation of Price Expectations: An Analysis of Business Test Data by Log-Linear Probability Models," Discussion Papers 437, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  7. 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.
  8. Steffen Henzel & Timo Wollmershäuser, 2005. "An Alternative to the Carlson-Parkin Method for the Quantification of Qualitative Inflation Expectations: Evidence from the Ifo World Economic Survey," Ifo Working Paper Series Ifo Working Papers No. 9, Ifo Institute for Economic Research at the University of Munich.
  9. Stefan Lachenmaier & Horst Rottmann, 2007. "Employment Effects of Innovation at the Firm Level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 227(3), pages 254-272, June.
  10. Kawasaki, Seiichi & McMillan, John & Zimmermann, Klaus F, 1983. "Inventories and Price Inflexibility," Econometrica, Econometric Society, vol. 51(3), pages 599-610, May.
  11. Lachenmaier, Stefan & Rottmann, Horst, 2011. "Effects of innovation on employment: A dynamic panel analysis," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 210-220, March.
  12. Ulrich Fritsche & Vladimir Kuzin, 2005. "Prediction of Business Cycle Turning Points in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 225(1), pages 22-43, January.
  13. Stefan Lachenmaier & Ludger Woessmann, 2004. "Does Innovation Cause Exports? Evidence from Exogenous Innovation Impulses and Obstacles," CESifo Working Paper Series 1178, CESifo Group Munich.
  14. Pohlmeier, Winfried, 1992. "On the Simultaneity of Innovations and Market Structure," Empirical Economics, Springer, vol. 17(2), pages 253-72.
  15. 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.
  16. Jan Marc Berk, 1999. "Measuring inflation expectations: a survey data approach," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1467-1480.
  17. 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).
  18. Klaus Abberger, 2004. "Nonparametric Regression and the Detection of Turning Points in the Ifo Business Climate," CESifo Working Paper Series 1283, CESifo Group 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. Ross, David R. & Zimmermann, Klaus F., 1993. "Evaluating reported determinants of labor demand," Labour Economics, Elsevier, vol. 1(1), pages 71-84, June.
  21. 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.
  22. Michael Funke & Wolf Maurer & Sikandar Siddiqui & Holger Strulik, 1998. "Investment Under Financial Constraints: Theory and Tests with West German Micro Data," Quantitative Macroeconomics Working Papers 19802, Hamburg University, Department of Economics.
  23. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. Thomas A. Knetsch, 2004. "Evaluating the German Inventory Cycle – Using Data from the Ifo Business Survey," CESifo Working Paper Series 1202, CESifo Group Munich.
  30. Georg (Hrsg.) Goldrian, 2004. "Handbuch der umfragebasierten Konjunkturforschung," ifo Beiträge zur Wirtschaftsforschung, Ifo Institute for Economic Research at the University of Munich, number 15.
  31. 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.
  32. 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.
  33. Flaig, Gebhard & Stadler, Manfred, 1994. "Success Breeds Success. The Dynamics of the Innovation Process," Empirical Economics, Springer, vol. 19(1), pages 55-68.
  34. 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.
  35. Gebhard Flaig, 2003. "Seasonal and Cyclical Properties of Ifo Business Test Variables," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 223(5), pages 556-570, September.
  36. 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.
  37. von Kalckreuth, Ulf, 2004. "Financial constraints for investors and the speed of adaptation: Are innovators special?," Discussion Paper Series 1: Economic Studies 2004,20, Deutsche Bundesbank, Research Centre.
  38. 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.
  39. John Foster & Burkhard Flieth, 2002. "Interactive expectations," Journal of Evolutionary Economics, Springer, vol. 12(4), pages 375-395.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ces:ifowps:_44. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Julio Saavedra)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.