2005
DOI: 10.2139/ssrn.905536
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R&D Investment, Credit Rationing and Sample Selection

Abstract: We study whether R&D-intensive firms are liquidity-constrained, by also 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 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. Th… Show more

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Cited by 19 publications
(16 citation statements)
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“…Among these, 249 firms (32.17%) declare having applied for more credit and being denied ( rationed = 1). We then assess how the indicator of borrowing concentration affects the probability of being credit‐constrained by estimating the following bivariate probit model with selection (Piga and Atzeni ):Prfalse(morecrediti=1false)=Prfalse(β0+β10.166667eminnoprodi+β20.166667emconc_banki+β3Xi+ui>0false),Prfalse(rationedi=1false)=Prfalse(γ0+γ20.166667emconc_banki+γ3Xi+vi>0false)ifmorecrediti=1,where X is the same set of control variables used in the previous subsections, and the error terms u and v are assumed to follow a bivariate standard normal distribution ( u , v ) ∼ N (0, 1) with correlation coefficient ρ = corr( u , v ). Results are reported in Table (columns (1) and (2))…”
Section: Resultsmentioning
confidence: 99%
“…Among these, 249 firms (32.17%) declare having applied for more credit and being denied ( rationed = 1). We then assess how the indicator of borrowing concentration affects the probability of being credit‐constrained by estimating the following bivariate probit model with selection (Piga and Atzeni ):Prfalse(morecrediti=1false)=Prfalse(β0+β10.166667eminnoprodi+β20.166667emconc_banki+β3Xi+ui>0false),Prfalse(rationedi=1false)=Prfalse(γ0+γ20.166667emconc_banki+γ3Xi+vi>0false)ifmorecrediti=1,where X is the same set of control variables used in the previous subsections, and the error terms u and v are assumed to follow a bivariate standard normal distribution ( u , v ) ∼ N (0, 1) with correlation coefficient ρ = corr( u , v ). Results are reported in Table (columns (1) and (2))…”
Section: Resultsmentioning
confidence: 99%
“…Other recent related contributions using the same data and indicator are Piga and Atzeni (), Herrera and Minetti (), Benfratello, Schiantarelli, and Sembenelli (), and Becchetti, Castelli, and Hasan ().…”
mentioning
confidence: 90%
“…We carry out the analysis in steps in a way similar to Piga and Atzeni (2007) and Guiso (1998). Firstly, we examine whether gender affects the decision to apply for a loan (hypothesis H1) by using the entire dataset (41,973 observations).…”
Section: Methodsmentioning
confidence: 99%