Housing tenure choice and the dual income household

Housing tenure choice has been the subject of a very large literature. Many treatments have sought to estimate the effect of household income on the likelihood of home ownership. To date, no study has ever disaggregated the household income of married couples into the separate labor income components to see if one partner’s income has a different effect than the other. Using a derived likelihood function to control for censoring in the wife’s income, this paper estimates the effect of separate incomes on housing tenure choice, accounting for possible endogeneity of the wife’s income. To compare the results of this estimation method, the paper also estimates the standard IV models, 2SLS and IV probit. While the results show that there is no endogeneity of the wife’s income, ignoring the censoring of the endogenous variable (when a large fraction of observations are censored) can possibly lead to biased coefficient estimates. Also, this paper confirms the importance of total household income, which has a larger effect than the total disaggregated components.     

The Federal Housing Administration (FHA), tenure choice,and residential land use

This paper extends the standard, urban, residential land-use model to analyze the effects of Federal Housing Administration (FHA) mortgage insurance. On the demand side, households are differentiated by income and tenure; on the supply side, the cost of housing is related to the asset prices of land and structure and the cost of capital. Hypothesizing that capital cost is a function of household tenure and income, tenure is chosen to minimize this cost. The effect of FHA, then, is to expand the housing consumption of moderate-middle income households, by reducing their capital cost, while displacing those whose cost is not reduced.     

Mobility and optimal tenure choice

In this paper, we offer a dynamic model of the optimal tenure behavior of an individual who faces the possibility of moving multiple times during his lifetime. We also investigate the lifetime effects of such factors as income tax, property tax, transaction costs, and mortgage rates on the household’s tenure choice. The agents in the model utilize a genetic algorithm, a probabilistic search approach, to determine their optimal lifetime tenure choice path. The agents are forward looking in that they anticipate such possible events as changes in jobs, marital status, household size, or dissatisfaction with current residence. Our results suggest several housing policy implications and explain some of the empirical findings in the literature.     

Household tenure choice and migration

A model of the joint tenure choice and migration decision is estimated. Unlike previous work that has considered each decision separately or examined the premigration tenure status choice jointly with the migration decision, this analysis addresses change in tenure status as well. The empirical findings indicate that variables often thought to affect either or both tenure status of the residence location change decision have offsetting or augmenting effects on their joint probabilities which are masked if the decisions are examined independently.     

Residential mobility and housing tenure choice

This paper treats housing tenure choice and residential moves as joint decisions. The parameters of a semi-Markov model with two states, renting and owning and continuous time, length of stay, are estimated with data from the U.S. Panel Study of Income Dynamics for 1970–1980. Several distributional assumptions for residence spells confirm the basic role played by housing prices, wealth and other characteristics. Higher wealth implies higher likelihood of owning higher mobility for renters and lower for owners. Households with educated hands are more mobile. Housing modal prices may have statistically very significant coefficients, but not always as anticipated.     

Housing tenure and labor market impacts: The search goes on

We develop two search-theoretic models emphasizing firm entry to examine the Oswald hypothesis, the idea that homeownership is linked to inferior labor market outcomes, and compare their predictions to three extant theories. The five models have surprisingly different predictions about the labor market at both the aggregate and micro levels. Using a suitable instrumental variable strategy, we estimate both micro and aggregate level regression models of wages and unemployment and compare the estimates to those predictions. We find that while homeowners are less likely to be unemployed, they also have lower wages, all else equal, compared to renters. In addition, higher regional homeownership rates are associated with a greater probability of individual worker unemployment and higher wages. The outcome of a horserace between our new search-theoretic models is mixed—the wage-posting model predicts observed unemployment impacts while a bargaining variant does a better job explaining observed wages and aggregate labor market outcomes. Overall, we conclude that firm behavior is important for understanding the labor market impacts of homeownership. Because this is the case, regional homeownership rates are not good instruments for individual tenure choice in empirical work. And while individual homeowners may have inferior labor market outcomes as compared to renters, from the viewpoint of society, higher homeownership rates may result in greater job creation and overall production, among other benefits.     

Housing prices and macroprudential policies: Evidence from microdata

This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country like India, utilizing two novel databases on city-level house prices in India. Though the empirical models provide evidence of a sizable effect of the fundamental factors in influencing house price dynamics, they also reveal strong countercyclical properties of macroprudential tools i.e., loan-to-value (LTV) limit, risk weights, and provisioning requirements, in influencing housing price movements. Among the macroprudential policy tools, the LTV limit emerges as the most potent one in influencing the price dynamics. A granular investigation of the effectiveness of macroprudential tools suggests that the countercyclical effect of the regulatory ratios for large-sized mortgages is much stronger as compared with those for the small-sized mortgages, attributed mainly to investment motives associated with the large-sized loans. We also find the presence of asymmetry in the impact of loosening versus the tightening of the LTV limit, which can be attributed to the procyclical behavior of the house prices.     

The downpayment constraint and housing tenure choice : A simplified exposition

This paper uses a two-period model to illustrate the effect_ of the downpayment constraint on housing tenure choice. The key trade-off induced by the constraint (the sacrifice of initial consumption in return for the tax-related benefits of eventual homeownership) is clearly portrayed. In addition to illustrating the basic problem, the analysis derives the impact of parameter changes on the outcome of the tenure decision.     

基于“城房指数”的中国城市新建商品住房市场有效性研究

本文采用2006年1月至2009年8月我国10个大中城市“城房指数”数据,检验了新建商品住宅市场的有效性,结果显示市场无效是较为普遍的现象。进一步的研究说明,特定的市场参与者可以在无效市场中通过积极预测价格而获得更好的回报。但对一般投资者而言,由于目前调整持有房地产资产比例的投资行为将产生极高的交易费用,获得这一套利机会并不现实。如果未来我国资本市场上出现房地产衍生证券,该问题有可能得到解决,市场有效性也会得到提高。     

Economic policy uncertainty and capital structure choice: Evidence from China

This paper studies how economic policy uncertainty affects corporate capital structure for Chinese listed firms from 2003 to 2013. We show that as the degree of economic policy uncertainty increases, firms tend to lower their leverage ratios. However, firms that are from regions with lower degrees of marketization, are state-owned or have prior bank-firm relationships mitigate the negative effect of policy uncertainty. Moreover, we provide consistent evidence that this negative effect is sourced from the deterioration of the external financing environment. We also find that firms adjust their financing structures by using more trade credit when economic policy uncertainty increases. Our results are robust to sample selection, data frequency, model specification and endogeneity.     

Housing tenure transitions of older households: Life cycle, demographic, and familial factors

Understanding the housing choices of the older households will grow in importance as the baby boom generation starts to retire. This analysis utilizes a rich longitudinal data set (PSID) to provide insight into the reasons why older households make housing transitions. Because of the richness of the data, this analysis is able to control for life transitions, a household's income and wealth, and connection to one's children in predicting when a homeowner makes a housing transition. The results demonstrate that age is not related directly to housing tenure choice for older households. Instead, having lower health status and being a single head of household is the important predictor of housing tenure transitions. At the same time, very few life changing events immediately lead a homeowner to become a renter, although they do influence the decision to downsize or consumer home equity. Finally, living next to one's children lowers the probability of becoming a renter or downsizing, and having richer children increases the probability of downsizing and thereby consuming one's housing wealth.     

The demand for rental housing: Evidence from the Housing Allowance Demand Experiment

This paper provides new evidence on the price and income elasticities of demand for rental housing by low income households. Housing expenditures of households participating in the Housing Allowance Demand Experiment and receiving housing allowances in the form of a proportional rent rebate are analyzed. These rent rebates experimentally vary the effective relative price of housing and thus enable estimation of the price elasticities. Natural income variation enables estimation of income elasticities. Analysis is carried out using two functional forms and a variety of models of housing dynamics. The estimated income and price elasticities of demand are 0.36 and −0.22, respectively. When the sample is restricted to include only households headed by couples, the elasticity estimates are 0.47 for income and −0.36 for price. These estimates are lower (in absolute value) than have been previously estimated and it is suggested that this may be due to the low-income nature of the sample.     

Fundamentals, Feedback Trading, and Housing Market Speculation: Evidence from California

Housing market researchers have long suspected that the market for single family homes is not efficient. The apparent predictability in housing prices, at least in the short run, leaves open the possibility of speculative purchases in the housing market. The purpose of this paper is to investigate the relative influence of speculative and economic demand on median house price on the Santa Barbara South Coast. An empirical model is presented that allows for decomposition of house price appreciation into that driven by economic and demographic forces and that resulting from speculative demand. The decomposition reveals a speculative bubble in the housing market forming in late 1987 and collapsing in mid 1990.     

The demand for housing in Sweden: Equilibrium choice of tenure and type of dwelling

Most studies of housing demand and tenure choice only identify two modes of tenure: owner-occupied one-family houses and rental apartments. Furthermore they are typically based on a cross section across all households. In this study we use recent Swedish data to overcome these weaknesses. We identify owner-occupied apartments (coop shares) as a third mode of tenure, and show that this should be treated separately. We also use information about the household's own assessment of its probability of moving during the next year. We demonstrate that it makes a large difference if likely movers are eliminated from the sample.     

城市居民住房支付能力研究——基于2000-2008我国10城市的经验数据

根据我国10个城市的中房指数推算各城市2000年-2008年期间的房价,利用国家城调队的城镇居民家庭收入和消费数据,计算各城市的房价收入比、住房可支付性指数、月供收入比,提出月供消费结余作为辅助判断指标,在此基础上分析各城市居民的住房支付能力,结果发现所有样本城市的房价收入比普遍较高,其中南京、武汉、深圳、成都和重庆五城市居民的住房支付能力比其他5个城市强,最后提出了相应的政策建议.     

Living on a plot of land as a tenure choice: The case of Panama

In this paper, we use analyze data from a survey of over thirteen hundred household housing-tenures in Panama. Our objective is to identify the features which determine whether households in a developing country such as Panama choose to rent or to buy housing properties, or alternatively to seek somewhat alternative tenure arrangements. In particular, we investigate the common characteristic of Panamanian households undertaking plot purchases with a view to future building. In order to analyze these alternative tenure arrangements we develop a series of log-linear models, in which dichotomous rent-versus-buy models are extended to include the possibility of plot purchasing with a view to future building. The extended models including plot purchases are seen to be superior to the dichotomous rent-versus-buy model in identifying which household characteristics are associated with particular housing-tenure decisions.     

EVT and tail-risk modelling: Evidence from market indices and volatility series

Value-at-Risk (VaR) has become the universally accepted risk metric adopted internationally under the Basel Accords for banking industry internal control, capital adequacy and regulatory reporting. The recent extreme financial market events such as the Global Financial Crisis (GFC) commencing in 2007 and the following developments in European markets mean that there is a great deal of attention paid to risk measurement and risk hedging. In particular, to risk indices and attached derivatives as hedges for equity market risk. The techniques used to model tail risk such as VaR have attracted criticism for their inability to model extreme market conditions. In this paper we discuss tail specific distribution based Extreme Value Theory (EVT) and evaluate different methods that may be used to calculate VaR ranging from well known econometrics models of GARCH and its variants to EVT based models which focus specifically on the tails of the distribution. We apply Univariate Extreme Value Theory to model extreme market risk for the FTSE100 UK Index and S&P-500 US markets indices plus their volatility indices. We show with empirical evidence that EVT can be successfully applied to financial market return series for predicting static VaR, CVaR or Expected Shortfall (ES) and also daily VaR and ES using a GARCH(1,1) and EVT based dynamic approach to these various indices. The behaviour of these indices in their tails have implications for hedging strategies in extreme market conditions.     

Cross-sectional estimation of a simultaneous model of tenure choice and housing services demand

In this paper we analyze the demand for housing services, integrating into a single analysis a systematic treatment of several important conceptual and empirical issues. Our three major objectives are to (1) evaluate the empirical importance of the simultaneity between the tenure choice and consumption level decisions; (2) analyze the relationship between household type and housing demand; and (3) present new estimates of the parameters of housing demand which are based on detailed microdata. In the process, we derive and estimate overall income and price demand elasticities which incorporate the impacts of income and price on both the tenure choice and consumption level decisions.