住房财富对中国城镇家庭消费的影响

在构建以国内大循环为主体,国内国际双循环相互促进的新发展格局下,把握扩大内需这一战略基点,激发居民消费潜力,是推动经济高质量发展的关键之一。住房已经成为中国家庭财富的重要组成部分,一方面可通过财富效应促进家庭消费,另一方面也可能由于“房奴效应”降低家庭消费。因此,住房财富对家庭消费的影响方向并不确定。本文基于2013-2019年中国家庭金融调查数据,研究了住房财富对家庭消费的影响,并检验了住房财富影响家庭消费的可能渠道。研究发现,住房财富对城镇家庭消费有显著促进作用,并显著改善了家庭消费结构,住房资产具有财富效应。进一步研究发现,住房财富能够缓解流动性约束,从而提高家庭消费水平。异质性分析表明,住房财富对不同类型的消费具有不同的促进作用,不同地区和拥有住房数量的差别均会对住房财富产生不同影响。根据本文研究,在控制风险的前提下,可发挥既有住房财富对平滑家庭消费的积极作用,促进家庭消费增长,改善家庭消费结构,进一步推进家庭消费升级。     

House prices, consumption, and monetary policy: a financial accelerator approach

We consider a general equilibrium model with frictions in credit markets used by households. In our economy, houses provide housing services to consumers and serve as collateral to lower borrowing cost. We show that this amplifies and propagates the effect of monetary policy shocks on housing investment, house prices and consumption. We also consider the effect of a structural change in credit markets that lowers the transaction costs of additional borrowing against housing equity. We show that such a change would increase the effect of monetary policy shocks on consumption, but would decrease the effect on house prices and housing investment.     

Housing and the Macroeconomy: Inflation and the Financial Accelerator

Three themes connecting housing and the macroeconomy are discussed. First, evidence is presented for the property market as one of the drivers of U.S. consumer price inflation. Second, key drivers of house prices are explained to account for the remarkable diversity of international experience. Finally, three potential links between housing, credit, and the financial accelerator are discussed. These are the consumption channel, the investment channel, and feedback between bad loans and risk‐spreads via the financial system—and how institutional differences between countries can explain the presence, absence and magnitudes of these linkages.     

International capital flows and the boom-bust cycle in Spain

We study the joint dynamics of foreign capital flows and real activity during the recent boom-bust cycle of the Spanish economy, using a three-country New Keynesian model with credit-constrained households and firms, a construction sector and a government. We estimate the model using 1995Q1-2013Q2 data for Spain, the rest of the Euro Area (REA) and the rest of the world. We show that falling risk premia on Spanish housing and non-residential capital, a loosening of collateral constraints for Spanish households and firms, as well as a fall in the interest rate spread between Spain and the REA fuelled the Spanish output boom and the persistent rise in foreign capital flows to Spain, before the global financial crisis. During and after the global financial crisis, falling house prices, and a tightening of collateral constraints for Spanish borrowers contributed to a sharp reduction in capital inflows, and to the persistent slump in Spanish real activity. The credit crunch was especially pronounced for Spanish households; firm credit constraints tightened later and more gradually, and contributed much less to the slump.     

Global Liquidity,House Prices,and the Macroeconomy: Evidence from Advanced and Emerging Economies

In this paper, we first compare house price cycles in advanced and emerging economies using a new quarterly house price data set covering the period 1990–2012. We find that house prices in emerging economies grow faster, are more volatile, less persistent, and less synchronized across countries than in advanced economies (AEs). We also find that they correlate with capital flows more closely than in AEs. We then condition the analysis on an exogenous change to a particular component of capital flows: global liquidity, broadly understood as a proxy for the international supply of credit. We identify this shock by aggregating bank‐to‐bank cross‐border credit and by using the external instrumental variable approach introduced by Stock and Watson (2012) and Mertens and Ravn (2013). We find that in emerging markets (EMs) a global liquidity shock has a much stronger impact on house prices and consumption than in AEs. We finally show that holding house prices constant in response to this shock tends to dampen its effects on consumption in both AEs and EMs, but possibly through different channels: in AEs by boosting the value of housing collateral and hence supporting domestic borrowing; in EMs, by appreciating the exchange rate and hence supporting the international borrowing capacity of the economy.     

住房价格、房屋购买与中国家庭杠杆率

本文基于中国家庭追踪调查的微观数据以及相匹配的城市层面的住房价格数据,从住房购买需求的角度,给出了一个近年来家庭杠杆率急剧上升的解释。利用中国家庭追踪调查的微观数据探讨了房价上涨对家庭杠杆率的作用机制以及潜在影响。结果表明,住房价格的快速上涨推动了家庭杠杆率的急剧攀升,从数量上看,房价每上涨1倍,样本期间的家庭贷款数额将会增长288.1%,家庭杠杆率将上升39.2%,而此部分贷款的增加主要来源于银行贷款而非私人借贷,由房价导致的家庭借贷数额和杠杆率的上升大概占到购房家庭总体借贷数额和杠杆率上升的90%左右。机制分析表明,住房价格的快速上涨刺激了家庭必需型和投资型住房需求,并提高了家庭的借贷意愿和风险偏好。分样本的探讨发现,这一效应对于非农户口家户以及有配偶和子女家户的影响更为明显。     

收入差距、信贷约束与房价变动

本文通过构建一个异质性代理人模型,刻画了收入差距通过信贷渠道影响房价的作用机制。研究表明,收入差距的缩小提升了低收入者的收入占比,使该类人群获得了更多的外部融资进行购房,由此产生了两方面效应:(1)信贷约束放松降低了住房流动性溢价,从而对房价产生负向影响;(2)收入上涨增加了住房边际效用较高的低收入者对房价正向影响的权重,从而使住房需求上升的效应抵消了此前的负向影响,最终促进房价上涨。通过对1970-2017年44个国家的进一步分析发现,相比于高收入者收入的下降,低收入者收入占比的上升在放松信贷约束和提升房价方面具有更显著的作用。据此本文认为:一方面要通过增加住房供给来化解城市化率提升与高房价之间的内在矛盾;另一方面,在经济增速放缓的时期,缩小收入差距,推动以“人”为核心的高质量城市化,并引导信贷资源向低收入群体倾斜是当前促进国内大循环、稳定社会融资规模和房地产市场的重要手段。     

关系型借贷视角下购房融资方式与家庭创业行为——基于2017年中国家庭金融调查的实证研究

本文利用2017年中国家庭金融调查数据深入考察购房融资方式对家庭创业行为的影响。研究结果显示,相较于民间借贷购房的家庭,按揭贷款购房的家庭参与创业活动的可能性更高,且更倾向于主动创业。进一步机制分析发现,相较于民间借贷购房,按揭贷款购房能够降低家庭的流动性约束,缓解家庭的资金压力,从而促进创业。同时,按揭贷款购房能使家庭获得充足的贷款额度与较长的贷款期限,进而有助于家庭创业。而且在偿还按揭贷款的过程中,家庭能与银行建立长期良好的信贷关系,从而有助于提高家庭获得正规信贷的可能性,促进家庭创业。为了积极推进创业创新的战略部署,应进一步健全银行信贷体系,发展和完善住房金融制度,从而有利于缓解小微企业融资难、融资贵的问题,释放和激发家庭创业活力。     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

How effective are macroprudential policies? An empirical investigation

In recent years, policymakers have generally relied on macroprudential policies to address financial stability concerns. However, our understanding of these policies and their efficacy is limited. In this paper, we construct a novel index of macroprudential policies in 57 advanced and emerging economies covering the period from 2000:Q1 to 2013:Q4, with tightenings and easings recorded separately. The effectiveness of these policies in curbing credit growth and house price appreciation is then assessed using a dynamic panel data model. The main findings of the paper are: (1) Macroprudential policies have been used far more actively after the global financial crisis in both advanced and emerging economies. (2) These policies have primarily targeted the housing sector, especially in the advanced economies. (3) Macroprudential policies are usually changed in tandem with bank reserve requirements, capital flow restrictions, and monetary policy. (4) Our analysis suggests that macroprudential tightening is associated with lower bank credit growth, housing credit growth, and house price appreciation. (5) Targeted policies – for example, those specifically intended to limit house price appreciation – seem to be more effective, especially in economies where bank finance is important.     

关于加强对保障性住房建设金融支持的建议

保障性住房建设是关系人民群众切身利益和经济社会发展大局的重大民生工程。但当前金融支持保障性住房建设还面临着许多问题和制约因素。有效解决这些实际问题,更好地发挥银行信贷和金融服务在保障性住房建设中的资金融通作用,对于促进保障性安居工程的顺利实施具有极其重要的意义。     

The Financial Accelerator: Evidence from International Housing Markets

This paper shows novel evidence on the mechanism through which financial constraints amplify fluctuations in asset prices and credit demand. It does so using contractual features of housing finance. Among agents whose housing demand is constrained by the availability of collateral, those who can borrow against a larger fraction of their housing value (achieve a higher loan-tovalue, or LTV, ratio) have more procyclical debt capacity. This procyclicality underlies the financial accelerator mechanism. Our study uses international variation in LTV ratios over three decades to test whether (a) housing prices and (b) demand for new mortgage borrowings are more sensitive to income shocks in countries where households can achieve higher LTV ratios. The results we obtain are consistent with the dynamics of a collateral-based financial accelerator in international housing markets.We wish to thank an anonymous referee, Adam Ashcraft, Long Chen, Luigi Guiso (CEPR discussant), Steve Malpezzi, Walter Novaes, Marco Pagano (the editor), Raghuram Rajan, Luigi Zingales, and participants at the CEPR conference on Financial Structure and Monetary Policy Channels (Barcelona, July 2003) for helpful comments and suggestions. We also thank Olimpia Bover, Maria Chiuri, Nathalie Girouard, Tullio Jappelli, Steve Malpezzi, Felipe Morande, Marco Pagano, and Shiawee Yang for kindly providing us with data. The usual disclaimer applies.     

Correlated leverage and its ramifications

This paper develops a theory in which housing prices, the capital structures of banks (mortgage lenders) and the capital structures of mortgage borrowers are all endogenously determined in equilibrium. There are four main results. First, leverage is a “positively correlated” phenomenon in that high leverage among borrowers is positively correlated with high leverage among banks, and higher house prices lead to higher leverage for both. The intuition is that first-time homebuyers with fixed wealth endowments must borrow more to buy more expensive homes, whereas higher current house prices rationally imply higher expected future house prices and therefore higher collateral values on bank loans, inducing banks to be more highly levered. Second, higher bank leverage leads to greater house price volatility in response to shocks to fundamental house values. Third, a bank’s exposure to credit risk depends not only on its own leverage but also on the leverage decisions of other banks. Fourth, positive fundamental shocks to house prices dilute financial intermediation by reducing banks’ pre-lending screening, and this reduction in bank screening further increases house prices. Empirical and policy implications of the analysis are drawn out, and empirical evidence is provided for the first two main results. The key policy implications are that greater geographic diversification by banks, tying mortgage tax exemptions to the duration of home ownership, and increasing bank capital requirements when borrower leverage is high can help reduce house price volatility.     

银行信贷、房地产价格与经济增长的非线性关系研究——基于省际面板平滑转换模型的实证检验

选用中国2000~2014年31个省的面板数据,以银行信贷为转换变量,通过构建面板平滑转换模型对我国房地产价格与经济增长的非线性关系进行考察。研究发现：当信贷增长率低于28.74%时,房价增长率对经济增长产生比较显著的正向影响;当信贷增长率高于28.74%时,房价增长率对经济增长起到了明显的阻碍作用。因此,为了实现“稳定房价和保持经济平稳增长”的目标,央行应将信贷增速维持在低增长体制的最优区间中。同时,央行还应该改善信贷结构,鼓励和引导金融资源进行合理配置。     

我国房价的货币因素与宏观影响的动态传导研究——基于TVP-SV-VAR模型的分析

我国房地产和金融市场发展使房价进入到货币政策传导渠道中,房价与货币政策中介变量、宏观目标变量间的关系呈动态变动。本文通过TVP-SV-VAR模型研究发现:与M2和信贷相比,社会融资规模与房价的关系更稳定,且对彼此波动的反应更强;近些年房价波动对产出、物价波动的边际效应减弱,对金融稳定的影响仍较大,房价对外部因素波动的敏感性有所降低。建议国家应坚持稳定房价的总基调,把好货币供给闸门,合理管控社会融资规模增量,加强房地产各项融资监管;各地方政府应根据本地人口流入和住房库存等实际情况,合理推进房地产业发展,在发挥其积极作用的同时,防范区域金融风险。     

住房价格、金融稳定与宏观审慎政策

本文通过建立包含异质性家庭、异质性厂商和金融机构的DSGE模型,分析对预期房价作出反应的货币政策和宏观审慎政策的传导机制和政策效果,研究不同政策的选择和协调问题。研究发现,首先,由于政策的作用范围不同,不同政策会对金融稳定和经济稳定产生不同影响。对预期房价作出反应的货币政策能够抑制住房需求和信贷供给,但也会抑制消费需求和产出;而对预期房价作出反应的逆周期LTV政策和逆周期资本充足率政策在应对房价波动导致的金融稳定问题时更加有的放矢。其次,外生冲击的来源会影响政策的选择和协调——当经济波动来源于需求冲击时,固定LTV政策搭配逆周期资本充足率的宏观审慎政策、不对预期房价作出反应的货币政策表现最优;当经济波动来源于供给冲击时,固定LTV政策搭配逆周期资本充足率的宏观审慎政策、对预期房价作出反应的货币政策表现最优。     

土地财政抑制了企业创新吗?——基于信贷错配视角的分析

基于一般均衡框架,考量房价、土地财政与企业创新之间的关系。研究发现：金融市场存在摩擦时,土地作为重要的抵押资产,房价波动和土地财政会扭曲创新资源的配置,在短期和长期对创新产生不同的影响。短期房价上升通过土地财政推动政府支出增加和总产出扩张,同时带动了企业的研发投入。当面临新的投资机会时,企业可以通过出售房产,缓解流动性约束。但在长期,土地财政引致的政府债务挤出了企业信贷,部门间信贷错配抑制了企业研发投入,同时高房价会导致企业转移部分资源投资房产,部门内资源错配进一步抑制了企业创新,从而降低了长期经济增长率,政府增加土地供给,则会弱化政府债务对企业创新要素的挤出效应。     

Housing Collateral, Consumption Insurance, and Risk Premia: An Empirical Perspective

In a model with housing collateral, the ratio of housing wealth to human wealth shifts the conditional distribution of asset prices and consumption growth. A decrease in house prices reduces the collateral value of housing, increases household exposure to idiosyncratic risk, and increases the conditional market price of risk. Using aggregate data for the United States, we find that a decrease in the ratio of housing wealth to human wealth predicts higher returns on stocks. Conditional on this ratio, the covariance of returns with aggregate risk factors explains 80% of the cross‐sectional variation in annual size and book‐to‐market portfolio returns.     

Interaction between housing prices and household borrowing: The Finnish case

Employing time series econometrics this study shows that there has been a significant two-way interaction between housing prices and housing loan stock in Finland since the financial liberalization in the late 1980s. Before the financial deregulation the interaction was substantially weaker. Furthermore, housing appreciation has a notable positive impact on the outstanding consumption loan stock. It appears that there is no similar relationship between stock prices and credit. Understanding the two-way interaction between housing prices and credit is of importance, since the interdependence is likely to augment boom–bust cycles in the economy and increase the fragility of the financial sector.     

Macroprudential Policies and Housing Prices: A New Database and Empirical Evidence for Central,Eastern, and Southeastern Europe

Several countries in Central, Eastern, and Southeastern Europe used a rich set of prudential instruments during the recent credit and housing boom and bust cycles. We construct a comprehensive database of these policy measures covering 16 countries at a quarterly frequency. We use this database to investigate whether the policy measures had an impact on housing price inflation. The measures that appeared to be effective were capital measures (minimum capital adequacy ratio, maximum ratio of lending to households to share capital) and nonstandard liquidity measures (marginal reserve requirements (MRRs) on foreign funding, MRRs linked to credit growth).