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Quantifying Reduced‐Form Evidence on Collateral Constraints

Sylvain Catherine, Thomas Chaney, Zongbo Huang, David Sraer and David Thesmar

Journal of Finance, 2022, vol. 77, issue 4, 2143-2181

Abstract: This paper quantifies the aggregate effects of financing constraints. We start from a standard dynamic investment model with collateral constraints. In contrast to the existing quantitative literature, our estimation does not target the mean leverage ratio to identify the scope of financing frictions. Instead, we use a reduced‐form coefficient from the recent corporate finance literature that connects exogenous debt capacity shocks to corporate investment. Relative to a frictionless benchmark, collateral constraints induce losses of 7.1% for output and 1.4% for total factor productivity (TFP) (misallocation). We show these estimated losses tend to be more robust to misspecification than estimates obtained by targeting leverage.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (4)

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https://doi.org/10.1111/jofi.13158

Related works:
Working Paper: Quantifying Reduced-Form Evidence on Collateral Constraints (2022) Downloads
Working Paper: Quantifying Reduced-Form Evidence on Collateral Constraints (2022) Downloads
Working Paper: Quantifying Reduced-Form Evidence on Collateral Constraints (2018) Downloads
Working Paper: Quantifying Reduced-Form Evidence on Collateral Constraints (2018) Downloads
Working Paper: Quantifying Reduced-Form Evidence on Collateral Constraints (2018) Downloads
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