Did bubbles migrate from the stock to the housing market in China between 2005 and 2010?

The speculative nature of both stock and housing markets in China has attracted the attention of observers. However, while stock market data are easily available, the low frequency and low quality of publicly available housing price data hampers the study of the relationship between the two markets. We use original hedonic weekly resale housing prices of a major Chinese housing market and study them in conjunction with Shanghai's stock market index in the second half of the 2000s. The use of the Phillips et al. (2015 a,b) recursive explosive‐root test enables us to detect and date speculative episodes in both markets. We then implement the Greenaway‐McGrevy and Phillips (2016) methodology to detect the presence of migration between the two types of bubbles. We detect significant migration from the stock to the housing market bubble in 2009 and a temporary spillover in 2007.     

INTERTEMPORAL COMPLEMENTARITY AND OPTIMALITY: A STUDY OF A TWO‐DIMENSIONAL DYNAMICAL SYSTEM*

We study the underlying structure of the two‐dimensional dynamical system generated by a class of dynamic optimization models that allow for intertemporal complementarity between adjacent periods, but preserve the time‐additively separable framework of Ramsey models. Specifically, we identify conditions under which the results of the traditional Ramsey‐type theory are preserved even when the intertemporal independence assumption is relaxed. Local analysis of this theme has been presented by Samuelson (Western Economic Journal 9 (1971), 21–26). We establish global convergence results and relate them to the local analysis, by using the mathematical theory of two‐dimensional dynamical systems. We also relate the local stability property of the stationary optimal stock to the differentiability of the optimal policy function near the stationary optimal stock, by using the Stable Manifold Theorem.     

Time–frequency relationship between US output with commodity and asset prices

Commodity and asset prices have a well-documented effect on economic growth as manifested through various channels. At the same time, the business cycle influences the commodity and asset prices. Whereas empirical evidence on the effect of commodity and asset prices on the long-run economic growth is ambiguous, most of the previous researches highlight a positive correlation in the short run. The aim of this article is to disentangle the short- and long-run co-movements between US historical business cycles and commodity and asset prices over the period 1859–2013. For this purpose, we use a time–frequency approach and we test the historical influence of oil, gold, housing and stock prices over the output growth. In contrast to other studies, we control for the effect of other prices and monetary conditions, using the wavelet partial coherency. In line with the previous works, we discover that co-movements between economic growth and commodity and assets prices manifest especially in the short run. We also find that stock returns and housing prices have a more powerful effect on the US economic growth rate than the oil and gold prices. The long-run co-movements are documented especially around the World War II. Finally, when controlling for the influence of the interest rate, inflation and other commodity and asset prices, co-movements become weaker in the short run. In general, the oil and housing prices lead the GDP growth, the US output leads the gold prices, while there is no clear causality direction between business cycle and stock prices.     

Can Anchoring and Loss Aversion Explain the Predictability of Housing Prices?

We offer an explanation of why changes in house price are predictable. We consider a housing market with loss‐averse sellers and anchoring buyers in a dynamic setting. We show that when both cognitive biases are present, changes in house prices are predicted by price dispersion and trade volume. Using a sample of housing transactions in Hong Kong from 1992 to 2006, we find that price dispersion and transaction volume are, indeed, powerful predictors of housing return. For both in and out of sample, the two variables predict as well as conventional predictors such as the real interest rate and real stock return.     

The Optimal Tax Treatment of Housing Capital in the Neoclassical Growth Model

Should housing capital be taxed like other forms of capital? We analyze this question within a version of the neoclassical growth model. We derive the optimal tax treatment of housing capital vis‐à‐vis business capital allowing for relatively general household preferences. In the first‐best, the tax treatment of business and housing capital should always be the same. In the second‐best, in contrast, the optimal tax treatment of housing capital depends on the elasticities of substitution between nonhousing consumption, housing, and leisure. This is because housing taxation may be used to alleviate the distorting effect of taxing labor. As a result, the optimal tax treatment of housing capital may be different from that of business capital. We complement these analytical results with a numerical analysis.     

Housing Prices in Urban China as Determined by Demand and Supply

This paper studies the demand for and supply of residential housing in urban China since the late 1980s when the urban housing market became commercialized. Using aggregated annual data from 1987 to 2012 in a simultaneous equations framework we show that the rapid increase in the urban residential housing price can be well explained by the forces of demand and supply, with income determining demand and cost of construction affecting supply. We find the income elasticity of demand for urban housing to be approximately 1, the price elasticity of demand to be approximately ?1.1 and the price elasticity of supply of the total housing stock to be approximately 0.5. The resulting long‐run effect of income on urban housing prices in elasticity terms is approximately 0.7, because the increase in income has shifted the demand curve outward more rapidly than the supply curve.     

MEASURING POVERTY USING BOTH INCOME AND WEALTH: A CROSS‐COUNTRY COMPARISON BETWEEN THE U.S. AND SPAIN

We study the correspondence between a household's income and its vulnerability to income shocks in two developed countries: the U.S. and Spain. Vulnerability is measured by the availability of wealth to smooth consumption in a multidimensional approach to poverty, which allows us to identify three groups of households: the twice‐poor group, which includes income‐poor households who lack an adequate stock of wealth; the group of protected‐poor households, which are all those income‐poor families with a buffer stock of wealth they can rely on; and the vulnerable‐non‐poor group, including households above the income‐poverty line that do not hold any stock of wealth. Interestingly, the risk of belonging to these groups changes over the life‐cycle in both countries while the size of the groups differs significantly between Spain and the U.S., although this result is quite sensitive to whether the housing wealth component is included in the wealth measure or not.     

Global capital markets,housing prices,and partisan fiscal policies

In recent years, global imbalances have channeled the excess savings of surplus countries toward the real estate markets of deficit countries. By consequence, the deficit countries that attracted lots of foreign capital experienced large run‐ups in house prices, whereas most surplus countries that exported capital exhibited flat or slow house price growth. We first use new house price data and a novel instrumental variable design to show the causal relationship between housing prices and capital inflows, particularly through debt bonanzas. We then argue that international capital flows affect the fiscal policy preferences of both voters and political parties by way of their impact on housing prices. Where capital inflows are large and housing prices are rising, we expect voters to respond by demanding both lower taxes and less publicly‐provided social insurance because rising house prices allow homeowners to self‐insure against income loss. In contrast, declining house prices produce greater demands for social insurance, particularly among those most exposed to housing market risk. We present evidence from two cross‐national surveys that supports these claims, as well as a “before and after” analysis of the housing crash in Eastern Europe. We also show that the connection between house prices and social policy also manifests itself in government spending outcomes, mediated by partisan control.     

Do low-income housing subsidies increase the occupied housing stock?

A necessary condition for justifying a policy such as subsidized low-income housing, either via tenant-based rental assistance or construction of public or private projects, is that it has a real effect on market outcomes. In this paper, we examine one aspect of the real effect of subsidized housing—does it increase the housing stock? If subsidized housing raises the quantity of occupied housing per capita, either more people are finding housing or they are being housed less densely. On the other hand, if subsidized housing merely crowds-out equivalent-quality low-income housing that otherwise would have been provided by the private sector, the housing policy may have little real effect on housing consumption. Using both Census place and MSA-level data from the decennial census and from the Department of Housing and Urban Development, we ask whether housing markets with more subsidized housing also have more total housing, after accounting for housing demand. We find that government-financed units raise the total number of units in a market, although on average one government-subsidized unit adds only one-third to one-half of a unit to the total housing stock. There is less crowd-out in more populous markets, and more crowd-out in places where there is less excess demand for subsidized housing, as measured by the number of government-financed units per eligible person. Tenant-based housing programs, such as Section 8 Certificates and Vouchers, seem to be more effective than project-based programs at targeting subsidized housing units to people who otherwise would not have their own.     

HOUSING POLICY FOR THE ELDERLY: A POLICY TO BUILD BARRIER‐FREE RENTAL HOUSING

There is a strong need for barrier‐free rental housing because of the rapidly aging population in Japan, where the share of barrier‐free rental housing is only 18.24% of total rental housing. We propose a policy to solve the problems associated with supplying barrier‐free rental housing. Our scheme involves a method of funding rental housing with a securities investor, as well as implementing property management and introducing rent subsidies. The plan entails funds being collected to construct barrier‐free rental housing. The housing will generate positive rental profits, which will, in turn, lead to the increase in the supply of barrier‐free rental housing. According to our plan, the low‐income elderly will also have access to barrier‐free rental housing.     

Stock adjustment for multicointegrated series

A typical stock adjustment model is a partial ajustment process to maintain simultaneously the two kinds of equilibrium relationships: a flow-flow relationship and a stock-flow relationship. We show that the stock adjustment model is an error correction model of ‘multicointegrated’ time series, and also an optimal decision rule generated from an intertemporal optimization problem. Economic examples in inventory model, housing construction, and consumption function are discussed.     

How important are wealth effects on consumption in Canada?

We estimate the marginal propensity to consume from financial and housing wealth in Canada. The modelling framework of Carroll et al. (2011) that builds on the observed stickiness in consumption data is used. Estimations and inferences are conducted using identification‐robust methods. The results provide support for the overall modelling strategy, but there are also important differences in the identification status of the econometric equations considered. Based on the most informative specification, we find that both types of wealth—financial and housing—have significant effects in Canada and that the former has a greater effect than the latter. A simple extension of the model that also accounts for non‐price credit conditions shows that housing wealth may be relevant only during periods of easier access to credit. Finally, we find support for relatively high stickiness in consumption growth in Canada.     

The recent boom–bust cycle: The relative contribution of capital flows, credit supply and asset bubbles

We use an estimated open economy DSGE model with financial frictions for the US and the rest of the world to evaluate various competing explanations about the recent boom–bust cycle. We find that the savings glut hypothesis is insufficient for explaining all aspects of the boom in the US. Relatively strong TFP growth and expansionary monetary policy are also not able to explain fully the volatility of corporate and in particular residential investment. We identify bubbles in the stock and housing market as crucial. Concerning the downturn in 2008/2009, the fall in house prices and residential investment only plays a minor role. Mortgage defaults have more explanatory power, especially in a specification of the model with a segregated equity market. Finally, the bursting of the stock market bubble was at least as important in this recession as in 2001. Because of various negative shocks hitting the economy at the same time in 2008/2009 and continued positive technology growth, not only the real interest rate declined but inflation fell rapidly and left insufficient room for monetary policy to play a similar stabilising role as in previous recessions.     

In the Shadow of the United States: The International Transmission Effect of Asset Returns

We examine how fluctuations in financial and housing markets in the United States affect asset returns and GDP in Hong Kong. In contrast to studies using linear specifications, which find that the United States and Hong Kong are virtually delinked in terms of the asset markets, our regime‐switching models indicate that an unexpected change in US stock returns, followed by the TED spread, has the most significant effect on Hong Kong asset returns and GDP, typically in a regime of high return and low volatility. For in‐sample one‐step‐ahead forecasting, the US term spread is the best predictor.     

Housing privatization in Romania

Over the past three decades, Romanian housing rights changed from a strictly managed public stock to one governed by individual decision‐making. And while it is typical that widespread private ownership provides a basis for a well‐functioning housing market, in Romania this has not been the case. Indeed, rather than creating a market that spontaneously allocates resources efficiently, housing privatization in Romania has created exclusion rights, thus creating an Anti‐commons problem. This problem can have effects similar to those of the tragedy of the Commons in which those who share a common good overuse it. In the Anti‐commons, in contrast, if too many owners have the right to exclude others from use of a resource, the resource is underused. In both cases, the rights allocation wastes resources.     

Stochastic growth when utility depends on both consumption and the stock level

Summary This paper examines the dynamic behavior of optimal consumption and investment policies in the aggregate stochastic growth model when utility depends on both consumption and the stock level. Such models arise in the study of renewable resources, monetary growth, and growth with public capital. The paper shows that there is a global convergence of optimal policies to a unique stationary distribution if (a) there is sufficient complementarity in the model, or (b) if there is sufficient randomness in production. Two examples illustrate the possibility of multiple stationary distributions. In one, multiple stochastic steady states exist for a generic class of production and utility functions.We thank Professors Jess Benhabib and R. Robert Russell for helpful discussions and 2 referees for constructive suggestions.     

Wealth Effects and Consumption: A Panel VAR Approach

We provide new evidence on the comparison between the stock and housing wealth effects on consumption. Using a panel VAR approach applied to OECD data, we find evidence that the stock market wealth effect is generally the larger. However, with regard to the evolution of asset wealth effects over time, our findings show that the housing wealth effect has outweighed the share market wealth effect in the last decade. We further find that asset wealth has asymmetric effects on consumption, with stronger and more persistent effects from positive asset wealth shocks. Our results have important monetary policy implications for both stock and real estate markets, and offer timely insights into the desirability of current proposals to reduce house price volatility, such as through macro prudential regulations.     

FISCAL POLICY AND ASSET PRICES

We analyse the impact of fiscal policy on asset prices using a panel vector auto‐regressive (PVAR) approach and quarterly data for ten industrialized countries. We find that positive fiscal shocks lead to a temporary fall in stock prices and a gradual and persistent decrease in housing prices. The empirical findings also point to: (i) a contractionary effect of fiscal policy on output in line with the existence of crowding‐out effects and the deterioration of credit conditions; (ii) a weakening of the effectiveness of fiscal policy in recent times; (iii) a more persistent response of asset prices for countries with a lower degree of openness; (iv) a larger impact of fiscal policy on asset prices for small countries; (v) a close link between the responsiveness of asset prices to fiscal policy and the government’s size; (vi) an increase of the sensitivity of asset prices to fiscal policy shocks following the process of financial deregulation and mortgage liberalization; and (vii) significant fiscal multiplier effects in the context of severe housing busts. Finally, the evidence suggests that changes in equity prices may help governments towards consolidation of public finances.     

HOUSING WEALTH AND U.S. MONEY DEMAND: A PANEL ESTIMATION

This article estimates a panel model for U.S. money demand using annual state‐level data for the period from 1977 to 2008. We incorporate housing wealth in the demand‐for‐money function and find strong evidence of a relationship between a broad monetary aggregate and housing wealth. This finding is robust to the inclusion of variables measuring financial heterogeneity across U.S. regions. Breaking up the sample in two subperiods shows that panel estimates including housing wealth yield more stable coefficients than both time‐series estimates and panel estimates excluding housing wealth. We also show that the link between money and housing wealth predates the recent boom‐and‐bust cycle. (JEL E41, E52)     

The macroeconomic effects of fiscal policy

We investigate the macroeconomic effects of fiscal policy using a Bayesian Structural Vector Autoregression (B-SVAR) approach. We identify fiscal policy shocks via a partial identification scheme, but also: (i) include the feedback from government debt; (ii) look at the impact on the composition of output; (iii) assess the effects on asset markets; (iv) use quarterly data; and (v) analyse empirical evidence from the US, the UK, Germany and Italy. The results show that government spending shocks, in general, have a small effect on Gross Domestic Product (GDP); lead to important ‘crowding-out’ effects; have a varied impact on housing prices and generate a quick fall in stock prices. Government revenue shocks generate a mixed effect on housing prices and a small and positive effect on stock prices. The empirical evidence also suggests that it is important to explicitly consider the government debt dynamics in the model.