Housing market and labor market search
Limnios Christopher ()
Additional contact information
Limnios Christopher: Department of Economics, Providence College, 1 Cunningham Square,Providence, RI, USA
The B.E. Journal of Macroeconomics, 2019, vol. 19, issue 1, 23
Abstract:
Current models fail to concurrently account for several important empirical regularities in the housing and labor markets. I augment the Diamond-Mortensen-Pissarides (DMP) search and matching model of the labor market with a housing market characterized by search and matching frictions, integrating both markets in a coherent macroeconomic model. The model provides a framework to explain how shocks and frictions which originate in the labor market spill over into the housing market and vise versa. The model accounts for procyclical, serially correlated real estate values, rental rates and expected real estate appreciation. Further, it accounts for increases in wages, housing costs and willingness to commute as a result of increases in geographic amenities. The model is also consistent with the empirical relationship between vacancy rates in the housing market and separation rates in the labor market. Simulations demonstrate that certain land-use policies can mitigate permanent shocks to labor productivity and the level of geographic amenities.
Keywords: housing frictions; labor frictions; search models (search for similar items in EconPapers)
JEL-codes: E24 J64 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/bejm-2018-0049 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:bejmac:v:19:y:2019:i:1:p:23:n:13
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/bejm/html
DOI: 10.1515/bejm-2018-0049
Access Statistics for this article
The B.E. Journal of Macroeconomics is currently edited by Arpad Abraham and Tiago Cavalcanti
More articles in The B.E. Journal of Macroeconomics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().