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Financing Constraints and the Timing of Innovations in the German Services Sector

  • Martin Kukuk

    (University of Tuebingen)

  • Manfred Stadler

    (University of Tuebingen)

Using newly available data at the firm level, this study provides convincing evidence of the importance of financial constraints in explaining the timing of innovations in the German services sector. Based on a dynamic model of firms' optimal R&D behavior under financial constraints, we estimate various versions of an econometric specification of the model with dichotomous innovation data by using a univariate ordered probit model and a newly developed modification of it. The modified econometric estimation strategies takes into account that some of the regressors are measured on an ordinal scale. Our results are consistent with the theoretical view that, because of capital markets imperfections, internal finance should be an important determinant of innovative activities by private firms in the manufacturing sector as well as in the services sector.

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Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 0893.

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Date of creation: 01 Aug 2000
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Handle: RePEc:ecm:wc2000:0893
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  1. Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, September.
  2. Flaig, Gebhard & Stadler, Manfred, 1994. "Success Breeds Success. The Dynamics of the Innovation Process," Empirical Economics, Springer, vol. 19(1), pages 55-68.
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  9. Schiantarelli, Fabio, 1996. "Financial Constraints and Investment: Methodological Issues and International Evidence," Oxford Review of Economic Policy, Oxford University Press, vol. 12(2), pages 70-89, Summer.
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  12. Steven M. Fazzari & R. Glenn Hubbard & BRUCE C. PETERSEN, 1988. "Financing Constraints and Corporate Investment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 141-206.
  13. Kukuk, Martin, 1998. "Indirect estimation of linear models with ordinal regressors: A Monte Carlo study and some empirical illustrations," Tübinger Diskussionsbeiträge 155, University of Tübingen, School of Business and Economics.
  14. Stewart C. Myers & Nicholas S. Majluf, 1984. "Corporate Financing and Investment Decisions When Firms Have InformationThat Investors Do Not Have," NBER Working Papers 1396, National Bureau of Economic Research, Inc.
  15. Veall, Michael R & Zimmermann, Klaus F, 1996. " Pseudo-R-[superscript 2] Measures for Some Common Limited Dependent Variable Models," Journal of Economic Surveys, Wiley Blackwell, vol. 10(3), pages 241-59, September.
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