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Aghion, Philippe

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Aghion

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Philippe

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Aghion, Philippe

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Now showing 1 - 2 of 2
  • Publication

    Credit Constraints and the Cyclicality of R&D Investment: Evidence from France

    (Wiley-Blackwell, 2012) Aghion, Philippe; Askenazy, Philippe; Berman, Nicolas; Cette, Gilbert; Eymard, Laurent

    We use a French firm-level data set containing 13,000 firms over the period 1994–2004 to analyze the relationship between credit constraints and firms’ R&D behavior over the business cycle. Our main results can be summarized as follows: (i) R&D investment is countercyclical without credit constraints, but it becomes procyclical as firms face tighter credit constraints; (ii) this result is only observed for firms in sectors that depend more heavily upon external finance, or that are characterized by a low degree of asset tangibility; (iii) in more credit-constrained firms, R&D investment plummets during recessions but does not increase proportionally during upturns.

  • Publication

    Volatility and growth: Credit constraints and the composition of investment

    (Elsevier BV, 2010) Aghion, Philippe; Angeletos, George-Marios; Banerjee, Abhijit; Manova, Kalina

    This paper examines how uncertainty and credit constraints affect the cyclical composition of investment and thereby volatility and growth. We develop a model where firms engage in two types of investment: a short-term one; and a long-term one, which contributes more to productivity growth. Because it takes longer to complete, long-term investment has a relatively less cyclical return; but it also has a higher liquidity risk. The first effect ensures that the share of long-term investment to total investment is countercyclical when financial markets are perfect; the second implies that this share may turn procyclical when firms face tight credit constraints. The contribution of the paper is thus to identify a novel propagation mechanism: through its effect on the cyclical composition of investment, tighter credit can lead to both higher volatility and lower mean growth. Evidence from a panel of countries provides support for the model’s key predictions.