Are collateral-constraint models ready for macroprudential policy design?
Pablo Ottonello,
Diego J. Perez and
Paolo Varraso
Journal of International Economics, 2022, vol. 139, issue C
Abstract:
We study the design of macroprudential policies based on quantitative collateral-constraint models. We show that the desirability of macroprudential policies critically depends on the specific form of collateral used in debt contracts: While inefficiencies arise when current prices affect collateral—a frequent benchmark used to guide policies—they do not when only future prices affect collateral. Since the microfoundations and quantitative predictions of models with future-price collateral constraints do not appear less plausible than those using current prices, we conclude that additional empirical research on whether and how contract design is variant to policy is important for the use of these models in macroprudential policy design.
Keywords: Macroprudential policies; Capital controls; Inefficient borrowing; Collateral constraints; Financial crises; Sudden stops (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022199622000824
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Are Collateral-Constraint Models Ready for Macroprudential Policy Design? (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:inecon:v:139:y:2022:i:c:s0022199622000824
DOI: 10.1016/j.jinteco.2022.103650
Access Statistics for this article
Journal of International Economics is currently edited by Gourinchas, Pierre-Olivier and RodrÃguez-Clare, Andrés
More articles in Journal of International Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().