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Credit Rationing in High-Tech firms and sample selection

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.

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Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 200304.

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Date of creation: 2003
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Handle: RePEc:cns:cnscwp:200304
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  1. Leland, Hayne E & Pyle, David H, 1977. "Informational Asymmetries, Financial Structure, and Financial Intermediation," Journal of Finance, American Finance Association, vol. 32(2), pages 371-87, May.
  2. Takeo Hoshi & Anil Kashyap & David Scharfstein, 1989. "Corporate structure, liquidity, and investment: evidence from Japanese industrial groups," Finance and Economics Discussion Series 82, Board of Governors of the Federal Reserve System (U.S.).
  3. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  4. 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.
  5. Guiso, Luigi, 1997. "High-Tech Firms and Credit Rationing," CEPR Discussion Papers 1696, C.E.P.R. Discussion Papers.
  6. Hall, Bronwyn, 2002. "The Financing of Research and Development," Department of Economics, Working Paper Series qt5rf0x9gz, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  7. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
  8. Claudio Piga, 2002. "Debt and Firms' Relationships: The Italian Evidence," Review of Industrial Organization, Springer, vol. 20(3), pages 267-282, May.
  9. Mark Gertler & Simon Gilchrist, 1991. "Monetary Policy, Business Cycles and the Behavior of Small Manufacturing Firms," NBER Working Papers 3892, National Bureau of Economic Research, Inc.
  10. Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, June.
  11. 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.
  12. C. Piga & M. Vivarelli, 2003. "Sample selection in estimating the determinants of cooperative R&D," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 243-246.
  13. Robert E. Carpenter & Bruce C. Petersen, 2002. "Capital Market Imperfections, High-Tech Investment, and New Equity Financing," Economic Journal, Royal Economic Society, vol. 112(477), pages F54-F72, February.
  14. Montmarquette, Claude & Mahseredjian, Sophie & Houle, Rachel, 2001. "The determinants of university dropouts: a bivariate probability model with sample selection," Economics of Education Review, Elsevier, vol. 20(5), pages 475-484, October.
  15. 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.
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