IDEAS home Printed from https://ideas.repec.org/p/ces/ifowps/_44.html
   My bibliography  Save this paper

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

Author

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

Abstract

The Ifo Institute for Economic Research has been conducting regular business surveys since its foundation in 1949. Until now there was no institutionalized data access to the micro data for external researchers. The micro data are now being stored in the Ifo Datapool. Besides external data, the Ifo Datapool contains rich data sets of the four standard surveys of the institute: the business cycle test, the investment test, the innovation test, and the World Economic Survey. In this paper the coverage, documentation and access to the Ifo Datapool is described.

Suggested Citation

  • Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  • Handle: RePEc:ces:ifowps:_44
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/IfoWorkingPaper-44.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lachenmaier Stefan & Rottmann Horst, 2007. "Employment Effects of Innovation at the Firm Level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 254-272, June.
    2. Werner Smolny, 1998. "Innovations, Prices and Employment: A Theoretical Model and an Empirical Application for West German Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 359-381, September.
    3. 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 - Leibniz Centre for European Economic Research.
    4. 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.
    5. Flaig, Gebhard & Stadler, Manfred, 1996. "On the dynamics of product and process innovations: A bivariate random effects probit model," Tübinger Diskussionsbeiträge 64, University of Tübingen, School of Business and Economics.
    6. Fritsche Ulrich & Stephan Sabine, 2002. "Leading Indicators of German Business Cycles. An Assessment of Properties / Frühindikatoren der deutschen Konjunktur. Eine Beurteilung ihrer Eigenschaften," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(3), pages 289-315, June.
    7. Klaus Abberger, 2004. "Nonparametric Regression and the Detection of Turning Points in the Ifo Business Climate," CESifo Working Paper Series 1283, CESifo.
    8. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
    9. Flaig, Gebhard, 2003. "Seasonal and Cyclical Properties of Ifo Business Test Variables," Munich Reprints in Economics 20379, University of Munich, Department of Economics.
    10. John Foster & Burkhard Flieth, 2002. "Interactive expectations," Journal of Evolutionary Economics, Springer, vol. 12(4), pages 375-395.
    11. Jan Marc Berk, 1999. "Measuring inflation expectations: a survey data approach," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1467-1480.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Thomas A. Knetsch, 2005. "Evaluating the German Inventory Cycle Using Data from the Ifo Business Survey," Contributions to Economics, in: Jan-Egbert Sturm & Timo Wollmershäuser (ed.), Ifo Survey Data in Business Cycle and Monetary Policy Analysis, pages 61-92, Springer.
    18. Dreger, Christian & Schumacher, Christian, 2002. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models?," Discussion Paper Series 26321, Hamburg Institute of International Economics.
    19. Stefan Lachenmaier & Ludger Wößmann, 2006. "Does innovation cause exports? Evidence from exogenous innovation impulses and obstacles using German micro data," Oxford Economic Papers, Oxford University Press, vol. 58(2), pages 317-350, April.
    20. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Macroeconomics 0004005, University Library of Munich, Germany.
    21. 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.
    22. Ross, D. R. & Zimmermann, K. F., 1995. "Evaluating reported determinants of labour demand," Labour Economics, Elsevier, vol. 2(1), pages 102-102, March.
    23. 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 341-357, December.
    24. Fritsche Ulrich & Kuzin Vladimir, 2005. "Prediction of Business Cycle Turning Points in Germany / Prognose konjunktureller Wendepunkte in Deutschland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(1), pages 22-43, February.
    25. Kawasaki, Seiichi & McMillan, John & Zimmermann, Klaus F, 1983. "Inventories and Price Inflexibility," Econometrica, Econometric Society, vol. 51(3), pages 599-610, May.
    26. repec:jns:jbstat:v:227:y:2007:i:3:p:254-272 is not listed on IDEAS
    27. Klaus Abberger & Klaus Wohlrabe, 2006. "Forecasting qualities of the Ifo Business Climate Index - a look at recent studies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    28. 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.
    29. 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.
    30. Georg Goldrian, 2004. "Handbuch der umfragebasierten Konjunkturforschung," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 15.
    31. 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.
    32. Smolny, Werner, 1998. "Innovations, Prices and Employment: A Theoretical Model and an Empirical Application for West German Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 359-381, September.
    33. 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.
    34. Ulrich Fritsche, 2001. "Do probit models help in forecasting turning points of German business cycles?," Macroeconomics 0012022, University Library of Munich, Germany.
    35. 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.
    36. 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.
    37. Werner Smolny, 2003. "Determinants of innovation behaviour and investment estimates for west-german manufacturing firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(5), pages 449-463.
    38. Pohlmeier, Winfried, 1992. "On the Simultaneity of Innovations and Market Structure," Empirical Economics, Springer, vol. 17(2), pages 253-272.
    39. Flaig, Gebhard & Stadler, Manfred, 1994. "Success Breeds Success. The Dynamics of the Innovation Process," Empirical Economics, Springer, vol. 19(1), pages 55-68.
    40. 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 9, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    41. 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.
    42. 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.
    43. 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 Kiel).
    44. 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.
    45. 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.
    46. 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.
    47. Stefan Lachenmaier & Ludger Woessmann, 2004. "Does Innovation Cause Exports? Evidence from Exogenous Innovation Impulses and Obstacles," CESifo Working Paper Series 1178, CESifo.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lachenmaier Stefan & Rottmann Horst, 2007. "Employment Effects of Innovation at the Firm Level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 254-272, June.
    2. Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sector-based Forecasts in Manufacturing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
    3. repec:jns:jbstat:v:227:y:2007:i:3:p:254-272 is not listed on IDEAS
    4. Klaus Wohlrabe & Przemyslaw Wojciechowski, 2014. "Ifo Business Survey of the Service Sector – Background, Explanations and Performance," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(21), pages 47-53, November.
    5. Sascha Becker & Peter Egger, 2009. "Beschäftigungseffekte von Produkt- und Prozessinnovationen bei Exporteuren und Nicht-Exporteuren," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 3(2), pages 123-136, October.
    6. Ulrich Kaiser & Joachim Wagner, 2008. "Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen‐ und Firmendaten," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 329-349, August.
    7. Brändle, Tobias & Heinbach, Wolf Dieter & Maier, Michael F., 2011. "Tarifliche Öffnung in Deutschland: Ausmaß, Determinanten, Auswirkungen (Flexibilisation in the German system of wage bargaining: extent, determinants, impacts)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 44(1/2), pages 163-172.
    8. repec:iab:iabfme:200702(de is not listed on IDEAS
    9. Christian Seiler & Klaus Wohlrabe & Przemyslaw Wojciechowski, 2014. "Business Survey Spotlight: Inventories and Order Backlog in Manufacturing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(21), pages 40-46, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    2. Stefan Kipar, 2012. "Determinants of Firm Innovation - Evidence from German Panel Data," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 45.
    3. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    4. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    5. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    6. Smolny, Werner, 1997. "Endogenous innovations in a model of the firm: Theory and empirical application for West-German manufacturing firms," Discussion Papers 39, University of Konstanz, Center for International Labor Economics (CILE).
    7. 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.
    8. Sascha Becker & Peter Egger, 2013. "Endogenous product versus process innovation and a firm’s propensity to export," Empirical Economics, Springer, vol. 44(1), pages 329-354, February.
    9. Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33.
    10. Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sector-based Forecasts in Manufacturing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
    11. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    12. Smolny, Wernerr, 1996. "Innovations, prices, and employment: A theoretical model and an empirical application for West-German manufacturing firms," Discussion Papers 37, University of Konstanz, Center for International Labor Economics (CILE).
    13. Vivarelli, Marco, 2012. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of the Literature," IZA Discussion Papers 6291, Institute of Labor Economics (IZA).
    14. Mehmet Ugur & Sefa Awaworyi Churchill & Edna Solomon, 2018. "Technological Innovation And Employment In Derived Labour Demand Models: A Hierarchical Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 50-82, February.
    15. 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 Kiel).
    16. Ugur, Mehmet & Awaworyi, Sefa & Solomon, Edna, 2016. "Technological innovation and employment in derived labour demand models: A hierarchical meta-regression analysis," MPRA Paper 73557, University Library of Munich, Germany.
    17. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2011. "The impact of R&D on employment in Europe: A firm-level analysis," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1176, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    18. repec:jns:jbstat:v:227:y:2007:i:3:p:254-272 is not listed on IDEAS
    19. Lachenmaier Stefan & Rottmann Horst, 2007. "Employment Effects of Innovation at the Firm Level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 254-272, June.
    20. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.
    21. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.

    More about this item

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ifowps:_44. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.