House Price Shocks, Credit Constraints and Household Indebtedness

2020 ◽  
Vol 72 (3) ◽  
pp. 780-803 ◽  
Author(s):  
By Kadir Atalay ◽  
Garry F Barrett ◽  
Rebecca Edwards ◽  
Chaoran Yu

Abstract We analyse the effect of housing wealth on household indebtedness in a life-cycle framework. Exploiting longitudinal household data and temporal and geographic variation in house prices, our empirical results indicate that households respond to increases in housing wealth by significantly increasing their debt. The effect is strongest for households that are moderately leveraged, highlighting the importance of collateral constraints. Furthermore, we uncover a weaker wealth effect from house price growth for households that have faced negative shocks to income or employment. Importantly, our findings are consistent with the theoretical predictions of the life-cycle model: households increase their mortgage debt, but not their unsecured credit card debt. A novel finding is that we uncover a moderate positive wealth effect on investment loans.

2018 ◽  
Vol 238 (6) ◽  
pp. 501-539
Author(s):  
Sören Gröbel ◽  
Dorothee Ihle

Abstract Housing property is the most important position in a household’s wealth portfolio. Even though there is strong evidence that house price cycles and saving patterns behave synchronously, the underlying causes remain controversial. The present paper examines if there is a wealth effect of house prices on savings using household-level panel data from the German Socio-Economic Panel for the period 1996-2012. We find that young homeowners decrease their savings in response to unanticipated house price shocks, whereas old households hardly respond to house price changes. Although effects are relatively low in magnitude, we interpret this as evidence of a housing wealth effect.


2009 ◽  
Vol 12 (3) ◽  
pp. 193-220
Author(s):  
Karol Jan Borowiecki ◽  

This paper studies the Swiss housing price determinants. The Swiss housing economy is reproduced by employing a macro- series from the last seventeen years and constructing a vector-autoregressive model. Conditional on a comparatively broad set of fundamental determinants considered, i.e. wealth, banking, demographic and real estate specific variables, the following findings are made: 1) real house price growth and construction activity dynamics are most sensitive to changes in population and construction prices, whereas real GDP, in contrary to common empirical findings in other countries, turns out to have only a minor impact in the short-term, 2) exogenous house price shocks have no long-term impacts on housing supply and vice versa, and 3) despite the recent substantial price increases, worries of overvaluation are unfounded. Furthermore, based on a self-constructed quality index, evidence is provided for a positive impact of quality improvements in supplied dwellings on house prices.


Author(s):  
Adam M Guren ◽  
Alisdair McKay ◽  
Emi Nakamura ◽  
Jón Steinsson

Abstract We provide new time-varying estimates of the housing wealth effect back to the 1980s. We use three identification strategies: ordinary least squares with a rich set of controls, the Saiz housing supply elasticity instrument, and a new instrument that exploits systematic differences in city-level exposure to regional house price cycles. All three identification strategies indicate that housing wealth elasticities were if anything slightly smaller in the 2000s than in earlier time periods. This implies that the important role housing played in the boom and bust of the 2000s was due to larger price movements rather than an increase in the sensitivity of consumption to house prices. Full-sample estimates based on our new instrument are smaller than recent estimates, though they remain economically important. We find no significant evidence of a boom–bust asymmetry in the housing wealth elasticity. We show that these empirical results are consistent with the behaviour of the housing wealth elasticity in a standard life-cycle model with borrowing constraints, uninsurable income risk, illiquid housing, and long-term mortgages. In our model, the housing wealth elasticity is relatively insensitive to changes in the distribution of loan-to-value (LTV) for two reasons: first, low-leverage homeowners account for a substantial and stable part of the aggregate housing wealth elasticity; second, a rightward shift in the LTV distribution increases not only the number of highly sensitive constrained agents but also the number of underwater agents whose consumption is insensitive to house prices.


2015 ◽  
Vol 29 (24) ◽  
pp. 1550181 ◽  
Author(s):  
Hao Meng ◽  
Wen-Jie Xie ◽  
Wei-Xing Zhou

The latest global financial tsunami and its follow-up global economic recession has uncovered the crucial impact of housing markets on financial and economic systems. The Chinese stock market experienced a marked fall during the global financial tsunami and China’s economy has also slowed down by about 2%–3% when measured in GDP. Nevertheless, the housing markets in diverse Chinese cities seemed to continue the almost nonstop mania for more than 10 years. However, the structure and dynamics of the Chinese housing market are less studied. Here, we perform an extensive study of the Chinese housing market by analyzing 10 representative key cities based on both linear and nonlinear econophysical and econometric methods. We identify a common collective driving force which accounts for 96.5% of the house price growth, indicating very high systemic risk in the Chinese housing market. The 10 key cities can be categorized into clubs and the house prices of the cities in the same club exhibit an evident convergence. These findings from different methods are basically consistent with each other. The identified city clubs are also consistent with the conventional classification of city tiers. The house prices of the first-tier cities grow the fastest and those of the third- and fourth-tier cities rise the slowest, which illustrates the possible presence of a ripple effect in the diffusion of house prices among different cities.


2018 ◽  
Vol 24 (5) ◽  
pp. 526-540 ◽  
Author(s):  
Chuanyong Zhang ◽  
Guoliang Feng

Elastic consumption is determined by both the income and wealth effect. However, few studies shed light into the effect of illiquid wealth. In this study, we explore this question by examining the effect of housing wealth on one particular consumption of high elastic, tourism expenditure, in China. By using data from China Family Panel Studies in 2010 and 2012, we find that the change in house prices has a positive and significant effect on tourism expenditure. Particularly, by controlling the income effect, we find that for every 1% increase in house prices, tourism expenditure grew by 0.4%. Moreover, we investigate the crowding out effect of mortgage payments and find that the change in the wealth of households with mortgages has a positive but not significant effect on tourism expenditure. We also note that tourism expenditure does not affect the expenditure on necessities or durable goods, but indeed crowds out expenditure on educational training and other high elastic goods.


2008 ◽  
Vol 205 ◽  
pp. 57-60 ◽  
Author(s):  
Ray Barrell ◽  
Simon Kirby

This note reviews recent Institute work on the factors that might affect the future evolution of consumption. Drawing on Barrell and Davis (2007), it discusses the evidence for the effects of housing wealth on consumption, and shows that there has been strong and well supported evidence for a link for some time. This evidence suggests that a fall in house prices will cause consumption growth to slow. The discussion also covers evidence from Barrell, Davis and Pomerantz (2006) on the effects of financial crises on consumption behaviour. They suggest that there are large and significant negative effects on consumption during banking crises that are over and above the effects on consumption of the crisis-induced changes in income and wealth. Much of this work is embedded in our structural model, NiGEM, and it is possible to estimate the effects of house price declines and financial crises on consumption and income using the model. The note also gives a set of ready reckoners for the impacts of house price declines on output and of a given associated fall in the level of housing wealth on the level of consumption.


Author(s):  
Carlos Garriga ◽  
Aaron Hedlund

The global financial crisis of 2007–2009 helped usher in a stronger consensus about the central role that housing plays in shaping economic activity, particularly during large boom and bust episodes. The latest research regards the causes, consequences, and policy implications of housing crises with a broad focus that includes empirical and structural analysis, insights from the 2000s experience in the United States, and perspectives from around the globe. Even with the significant degree of heterogeneity in legal environments, institutions, and economic fundamentals over time and across countries, several common themes emerge. Research indicates that fundamentals such as productivity, income, and demographics play an important role in generating sustained movements in house prices. While these forces can also contribute to boom-bust episodes, periods of large house price swings often reflect an evolving housing premium caused by financial innovation and shifts in expectations, which are in turn amplified by changes to the liquidity of homes. Regarding credit, the latest evidence indicates that expansions in lending to marginal borrowers via the subprime market may not be entirely to blame for the run-up in mortgage debt and prices that preceded the 2007–2009 financial crisis. Instead, the expansion in credit manifested by lower mortgage rates was broad-based and caused borrowers across a wide range of incomes and credit scores to dramatically increase their mortgage debt. To whatever extent changing beliefs about future housing appreciation may have contributed to higher realized house price growth in the 2000s, it appears that neither borrowers nor lenders anticipated the subsequent collapse in house prices. However, expectations about future credit conditions—including the prospect of rising interest rates—may have contributed to the downturn. For macroeconomists and those otherwise interested in the broader economic implications of the housing market, a growing body of evidence combining micro data and structural modeling finds that large swings in house prices can produce large disruptions to consumption, the labor market, and output. Central to this transmission is the composition of household balance sheets—not just the amount of net worth, but also how that net worth is allocated between short term liquid assets, illiquid housing wealth, and long-term defaultable mortgage debt. By shaping the incentive to default, foreclosure laws have a profound ex-ante effect on the supply of credit as well as on the ex-post economic response to large shocks that affect households’ degree of financial distress. On the policy front, research finds mixed results for some of the crisis-related interventions implemented in the U.S. while providing guidance for future measures should another housing bust of similar or greater magnitude reoccur. Lessons are also provided for the development of macroprudential policy aimed at preventing such a future crisis without unduly constraining economic performance in good times.


2020 ◽  
Vol 13 (2) ◽  
pp. 243-256
Author(s):  
David Gray

Purpose This paper aims to propose that a Neave-Worthington Match Test for Ordered Alternatives is a simple, non-parametric test that can be used to consider Gibrat’s law. Whether the law, that states that the proportional rate of growth is independent of absolute size, is supported by regional house price growth rates is considered. The Match Test is further used to test the applicability of beta-convergence and dual economy models to a house price context. Design/methodology/approach The Match Test relates an actual rank order with an expected one. Gibrat’s law implies house price growth rates are independent of the absolute price levels. Beta-convergence posits that growth rates are inversely related to the initial price level. With a divergent system, there is a direct relationship between size-order and growth rates. As such, the Match Test is used to test alternative models of size-growth relationship. Findings Rather than convergence, there is a tendency to diverge across the UK, but not in Eire. That said, the size of growth shocks is related to price level on the upswing of a price cycle, but not in the down. Assigning the high-priced regions of the two islands into core and the rest into a periphery, total matching is dominated by the capital cities’ growth. The sigma-convergence observed in British house prices is likely to be associated with slower beta-divergence, not a convergent system. The law of Gibrat is not found to apply in a regional house price context. Research limitations/implications This work only covers two countries and nineteen regions. Gibrat’s law in regional house prices may be better examined using a multi-country analysis. Practical implications As the law of Gibrat is not found to apply in a regional house price context and core-regions appearing to dislocated, this has interesting implications for growth trend analysis and the claim of cointegration, which should be explored further. In particular, the level-growth relationship in the cyclical price upswing points to a ratcheting of differentials between high and low house price regions. The common trends in the long run may result from corrective periodic crashes. Not an ideal mechanism for policymakers. Originality/value To the best of the author’s knowledge, this paper makes a novel use of the Neave-Worthington test in the realm of regional convergence-divergence and in the first consideration of the law of Gibrat in a house price context across two countries.


Author(s):  
Lara Loewenstein

During the 2000s housing bust, Cleveland’s Slavic Village was dubbed “ground zero of the foreclosure crisis” by the national media. Despite this, during the preceding housing boom Cleveland had stable house price growth and relatively low mortgage debt growth, a stark contrast to circumstances in areas such as California that had exceptionally high house price and mortgage debt growth. What explains the relatively minor housing boom and perceived sharp downturn in Cleveland? In this Commentary I show that while subprime debt was a prominent source of debt in Cleveland and especially in its Slavic Village neighborhood during the 2000s, it is difficult to peg subprime debt as playing a causal role in the subsequent foreclosure crisis.


Sign in / Sign up

Export Citation Format

Share Document