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Quantifying Reduced‐Form Evidence on Collateral Constraints
Author(s) -
CATHERINE SYLVAIN,
CHANEY THOMAS,
HUANG ZONGBO,
SRAER DAVID,
THESMAR DAVID
Publication year - 2022
Publication title -
the journal of finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 18.151
H-Index - 299
eISSN - 1540-6261
pISSN - 0022-1082
DOI - 10.1111/jofi.13158
Subject(s) - collateral , leverage (statistics) , total factor productivity , economics , debt , investment (military) , capital structure , benchmark (surveying) , econometrics , monetary economics , productivity , finance , macroeconomics , mathematics , statistics , geodesy , politics , political science , law , geography
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.