scholarly journals The Subprime Crisis and House Price Appreciation

Author(s):  
William N. Goetzmann ◽  
Liang Peng ◽  
Jacqueline Yen
2009 ◽  
Author(s):  
William Goetzmann ◽  
Liang Peng ◽  
Jacqueline Yen

2011 ◽  
Vol 44 (1-2) ◽  
pp. 36-66 ◽  
Author(s):  
William N. Goetzmann ◽  
Liang Peng ◽  
Jacqueline Yen

2013 ◽  
Vol 5 (4) ◽  
pp. 167-199 ◽  
Author(s):  
Joseph Gyourko ◽  
Christopher Mayer ◽  
Todd Sinai

We document large long-run differences in average house price appreciation across metropolitan areas over the past 50 years, and show they can be explained by an inelastic supply of land in some unique locations combined with an increasing number of highincome households nationally. The resulting high house prices and price-to-rent ratios in those “superstar” areas crowd out lower income households. The same forces generate a similar pattern among municipalities within a metropolitan area. These facts suggest that disparate local house price and income trends can be driven by aggregate demand, not just changes in local factors such as productivity or amenities. (JEL R11, R23, R31, R52)


2012 ◽  
Vol 15 (1) ◽  
pp. 1-42
Author(s):  
Heeho Kim ◽  
◽  
SaeWoon Park ◽  
Sun Hye Lee ◽  
◽  
...  

This paper studies the abnormal price behavior of Kangnam, a premium (high price) housing submarket in Seoul, Korea, which addresses the correlation between house prices, bank lending, and other factors, including income. Kangnam experienced the most dramatic price escalation during the study period (1999-2009) despite Korean government policies to stabilize house prices in 2005 and the U.S. subprime crisis in 2008. The empirical result shows that even though the house price in a premium market is, to some degree, positively influenced by income, it is not affected by bank lending in the short-run while negatively affected in the long-run. This suggests that a premium housing submarket has a peculiar price dynamics of its own unlike the other submarkets which seem to comply more or less with our notion of a general economic theory, especially in terms of house prices and bank lending.


2019 ◽  
Author(s):  
◽  
Yifeng Jia

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation studies China's housing market and macroeconomic activity with a strong focus on the role of monetary policy behind the markets. The first two chapters concentrate on the house price dynamics in China. Chapter 1 examines the in influence of monetary policy on China's housing price fluctuation by estimating a VAR model with China's aggregated house price data from 1998Q1 to 2015Q4. The monetary policy shock is identify ed by the sign restriction approach following Uhlig (2005), with the identification assumptions extended to three common policy instruments utilized by the central bank of China: interest rate, required reserve ratio and M2. The results suggest a negative impact of a contractionary monetary policy shock on the house price, and M2 tends to be the most effective monetary instruments in terms of policy transmission. The framework is also extended to examine the link between China's 2008 government economic stimulus plan and the subsequent house price appreciation. The obtained evidence suggests that the economic stimulus props up the house price, but its contribution to the post-2008 house price appreciation is not as prominent as indicated by other relevant studies. However, this discrepancy may be explained by the heterogeneous effects of the stimulus policy on local housing markets across China


2015 ◽  
Vol 66 (1) ◽  
pp. 99-127
Author(s):  
Marco Oestmann ◽  
Lars Bennöhr

Abstract There is a broad literature on determinants of house price dynamics, which received increasing attention in the aftermath of the subprime crisis. Additional to macroeconomic standard variables, there might be other hard to measure or even unobservable factors influencing real estate prices. Using quarterly data, we try to increase the informational input of conventional models and capture such effects by including Google search engine query information into a set of standard fundamental variables explaining house prices. We use the house price index (HPI) published by Eurostat to perform fixed-effects regressions for a panel of 14 EU-countries comprising the years 2005-2013. We find that Google data as a single aggregate measure plays a prominent role in explaining house price developments.


2020 ◽  
pp. 104919 ◽  
Author(s):  
Yuhao Kang ◽  
Fan Zhang ◽  
Wenzhe Peng ◽  
Song Gao ◽  
Jinmeng Rao ◽  
...  

2017 ◽  
Vol 26 (2) ◽  
pp. 233-252
Author(s):  
Jianmei Zhao ◽  
Lin Liu ◽  
Ruihan Liu

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