Measuring Housing Market Slack
N. Kundan Kishor
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper develops a framework to estimate U.S. housing market slack-the deviation of inventory from equilibrium levels needed for stability. We measure slack as a common cyclical component of existing and new home inventories that drives house prices through a housing Phillips curve. Results show a statistically significant inverse relationship between slack and price growth, with persistent negative slack since 2010 and extreme tightness during the pandemic. A shock to the estimated housing market slack generates substantial, lasting effects on house prices and rents, with rental impacts peaking 24 months after initial shocks.
Keywords: Housing Market Slack; Housing Phillips Curve; Natural Level of Housing Inventory; State Space Model. (search for similar items in EconPapers)
JEL-codes: E00 E31 E37 R21 R31 (search for similar items in EconPapers)
Date: 2025-10
References: Add references at CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/127473/1/MPRA_paper_127473.pdf original version (application/pdf)
Related works:
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:pra:mprapa:127473
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().