2014
DOI: 10.1016/j.euroecorev.2014.06.013
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A model of housing and credit cycles with imperfect market knowledge

Abstract: The paper presents a model of housing and credit cycles featuring distorted beliefs and comovement and mutual reinforcement between house price expectations and price developments via credit expansion/contraction. Positive (negative) development in house prices fuels optimism (pessimism) and credit expansion (contraction), which in turn boost (dampen) housing demand and house prices and reinforce agents'optimism (pessimism). Bayesian learning about house prices can endogenously generate selfreinforcing booms a… Show more

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Cited by 34 publications
(13 citation statements)
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References 27 publications
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“…A market that is on the rise has a tendency to keep rising. There is quite some literature on such momentum effects in house prices (see Shiller 1989, or more recently Lai andVan Order 2010;Beracha and Skiba 2011;Head et al 2014;Kuang 2014). A common explanation is that housing market frictions (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…A market that is on the rise has a tendency to keep rising. There is quite some literature on such momentum effects in house prices (see Shiller 1989, or more recently Lai andVan Order 2010;Beracha and Skiba 2011;Head et al 2014;Kuang 2014). A common explanation is that housing market frictions (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The authors concluded that these shocks play a significant role in the fluctuations of housing prices, and that a bidirectional relationship exists, wherein shocks in housing prices affect the macroeconomy more than shocks in the stock market do. Additionally, previous literature on the impact of credit supply expansions on housing prices has established a positive relationship (see, for instance, Bunda & Ca'Zorzi, 2010;Kuang, 2014;Favara & Imbs, 2015). Cesa-Bianchi, Cespides, and Rebucci (2015), comparing housing cycles between developed and emerging economies, found that prices in emerging economies grow faster but are more volatile and less synchronized.…”
Section: Literature Reviewmentioning
confidence: 98%
“…The summary of problematic factors affecting the sustainable development of the real estate market, including the international experience grouped by economic, social and environmental dimensions globally are shown in Table 1. Kauškale, Geipele 2016a, 2016b, 2016cGeipele et al, 2014) Factor Statement Main problem Economic -"Pei Kuang (Kuang, 2014) in a model found an important interconnection, which not always was covered by the real estate analysis, that in a collateral-constrained economy house prices depend on quantities on the leverage ratio".…”
Section: Theoretical Overview Of Problematic Issues Of Sustainable Dementioning
confidence: 99%