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Credit Rationing in High-Tech firms and sample selection

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Abstract

We argue that it may be inappropriate to study whether high-tech firms are liquidity-constrained, without first modeling their antecedent decision to apply for credit. This sample selection issue is relevant when studying a borrower-lender relationship, as the same factors can influence both the demand and the supply side. E.g., we find firms engaged in R&D to be less likely to request extra funds. When they do we observe a higher probability of being denied credit. Thus, our findings lend support to the notion of credit constraints being severe for innovative firms, although we suggest that other measures of innovative activity, in addition to total R&D expenditures, should be used to understand the occurrence of credit constraints in the high-tech sector.

Suggested Citation

  • G. Atzeni & C. Piga, 2003. "Credit Rationing in High-Tech firms and sample selection," Working Paper CRENoS 200304, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:200304
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    References listed on IDEAS

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    4. Bronwyn Hall, 2004. "The financing of research and development," Chapters,in: Financial Systems, Corporate Investment in Innovation, and Venture Capital, chapter 2 Edward Elgar Publishing.
    5. Leland, Hayne E & Pyle, David H, 1977. "Informational Asymmetries, Financial Structure, and Financial Intermediation," Journal of Finance, American Finance Association, vol. 32(2), pages 371-387, May.
    6. Claudio Piga, 2002. "Debt and Firms' Relationships: The Italian Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(3), pages 267-282, May.
    7. Bagella, M. & Becchetti, L. & Caggese, A., 2001. "Financial constraints on investments: A three-pillar approach," Research in Economics, Elsevier, vol. 55(2), pages 219-254, June.
    8. Hellmann, Thomas & Stiglitz, Joseph, 2000. "Credit and equity rationing in markets with adverse selection," European Economic Review, Elsevier, vol. 44(2), pages 281-304, February.
    9. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
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    12. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters,in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626 National Bureau of Economic Research, Inc.
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    Cited by:

    1. Guido Fioretti, 2005. "Credit Rationing and Internal Ratings in the face of Innovation and Uncertainty," Finance 0504021, EconWPA.

    More about this item

    Keywords

    bivariate probit; innovation; selectivity;

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • D45 - Microeconomics - - Market Structure, Pricing, and Design - - - Rationing; Licensing

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