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R&D INVESTMENT, CREDIT RATIONING AND SAMPLE SELECTION
Authors:Claudio A  Piga and Gianfranco  Atzeni
Institution:Economics Department, Loughborough University, Leicestershire, UK, and;University of Sassari and CRENoS, Italy
Abstract:We study whether R&D‐intensive firms are liquidity constrained, by modelling 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 the decisions of both parties. We find firms with no or low R&D intensity to be less likely to request extra funds. When they do, we observe a higher probability of being denied credit. Such a relationship is not supported by evidence from the R&D‐intensive firms. Thus, our findings lend support to the notion of credit constraints being severe only for a sub‐sample of innovative firms. Furthermore, the results suggest that the way in which the R&D activity is organized may differentially affect a firm's probability of being credit constrained.
Keywords:bivariate probit  in-house R&D  innovation  selectivity
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