Long-Run Expectations, Learning and the US Housing Market
Daniel Tortorice
Eastern Economic Journal, 2019, vol. 45, issue 4, No 2, 497-531
Abstract:
Abstract In the US housing market, the price-to-rent ratio is volatile and autocorrelated. Returns on housing are positively autocorrelated. The price-to-rent ratio is negatively correlated with future returns and rent growth. Housing returns exhibit time-varying volatility. A benchmark asset pricing model is inconsistent with these facts. A model where prices adjust slowly to their fundamental value and where the agent does not know whether housing fundamentals are trend or difference stationary so has changing beliefs over time, increases the volatility of prices and the autocorrelation of returns. The price-to-rent ratio negatively forecasts returns and rent growth. This model generates time-varying volatility.
Keywords: Learning; Expectations; Housing demand; Asset pricing (search for similar items in EconPapers)
JEL-codes: D83 D84 R21 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41302-019-00141-8 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Long Run Expectations, Learning and the U.S. Housing Market (2015) 
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:pal:easeco:v:45:y:2019:i:4:d:10.1057_s41302-019-00141-8
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41302
DOI: 10.1057/s41302-019-00141-8
Access Statistics for this article
Eastern Economic Journal is currently edited by Allan Zebedee and Cynthia Bansak
More articles in Eastern Economic Journal from Palgrave Macmillan, Eastern Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().