Homeownership Determinants for Chinese Americans: Assimilation, Ethnic Concentration and Nativity

Chinese homeownership rates in the Los Angeles Consolidated Metropolitan Statistical Area adjusted by socioeconomic and housing market characteristics are, on average, 18 percentage points higher than those of native white households. This finding runs contrary to most immigration literature, which suggests that immigrants usually lag behind the host society in measures of economic well-being. This study focuses on two additional factors, which most economic studies of homeownership choice ignore, that may play a role in helping Chinese households achieve high homeownership in ways that other immigrant groups do not. The results of this analysis find that the high homeownership rates cannot be explained by the English skills of households. The cultural influence of homeowning peers may have partially contributed to the higher homeownership of Chinese households. While living in ethnic Chinese communities lowers homeownership rates, in general, it helps improve the likelihood that Chinese immigrants will own a home. Finally, we find that there is great diversity among Chinese subgroups with respect to their likelihood of owning a home, but very little diversity with respect to the education and income level of Chinese households across subgroups.     

Mobility, Residential Location and the American Dream: The Intrametropolitan Geography of Minority Homeownership

This article applies data from Washington, DC, Chicago and Los Angeles to estimate three-level nested multinomial logit models of household mobility, residential location and homeownership tenure choice. Model simulation indicates that shocks to income can significantly elevate the homeownership attainment of minority households; however, their urban settlement and homeownership patterns remain substantially more concentrated than those of whites. Simulated equilibration of black economic status with that of whites results in an approximate doubling of homeownership rates among black movers to central city areas. In contrast, homeownership rates among black movers to suburban and outlying areas lag far behind those of whites.     

Language, Agglomeration and Hispanic Homeownership

As of the fourth quarter of 2007, 74.9% of white non-Hispanic families but only 48.5% of Hispanic families owned homes. We argue that low rates of homeownership in Hispanic communities create a self-reinforcing mechanism that contributes to this large disparity. In part, this occurs because proximity to other homeowners belonging to a family's social network improves access to information about how to become a homeowner. Role model effects may also be relevant. We investigate these issues using household-level data on out-of-state movers from the 2000 Decennial Census. Three especially important results are obtained. First, proximity to Hispanic homeowners in the 1995 place of residence increases the propensity of a Hispanic family to own a home in 2000. Second, that effect is especially strong with respect to proximity to weak English-speaking Hispanic homeowners. Third, these patterns hold regardless of the Hispanic family's own ability to speak English. From a policy perspective, these results suggest that local programs designed to promote homeownership among weak English-speaking Hispanic families likely increase Hispanic homeownership beyond just the immediate program participants.     

Is Timing Everything? Race,Homeownership and Net Worth in the Tumultuous 2000s

We use the Panel Study of Income Dynamics to estimate how net worth was affected among low‐ and moderate‐income households who became first‐time homebuyers at different points during the volatile 2000s. We address selection using propensity score matching and estimating difference‐in‐difference models, and use quantile regressions to account for the skew in net worth outcomes. Results highlight the significance of race in the relationship between first‐time home buying and net worth during the decade. Although timing was critical to the short‐term trajectory of net worth for whites, total net worth declines for black first‐time homebuyers regardless of economic climate. The most dramatic differences between black and white new homebuyers is their neighborhood locations, with blacks purchasing in predominantly black neighborhoods with lower housing prices and price appreciation, and lower and declining rates of homeownership.     

The Boom,the Bust and the Future of Homeownership

This article investigates the boom and bust in U.S. homeownership rates over the 2000–2010 period. Using individual‐level census data, we first estimate 204 homeownership regressions stratified by household age (21, 22, …, 89) and survey year (2000, 2005 and 2009). Shift‐share methods confirm that changes in the model coefficients that reflect household attitudes, lending standards and other market conditions—but not population socioeconomics—were the primary driver of the boom and bust in homeownership over the decade. This pattern holds for nearly all age groups and is more pronounced for recent movers. Results also suggest that homeownership rates may have come close to bottoming out in early 2013 at 65% after falling roughly four percentage points from their peak in 2006. This suggests little lasting effect of the grand homeownership policy experiment of recent decades.     

Distributional Consequences of Alternative Mortgage Instruments

One of the major factors hindering the introduction of alternative mortgage instruments is the possibility of adverse consequences to certain groups of households seeking to obtain credit for homeownership. This study examines this issue through an analysis of cross-sectional household data obtained from the 1970 Survey of Consumer Finances. Using multiple regression analysis, a series of structural demand models are derived and estimated. These models relate the probability of homeownership, levels of housing consumption, mortgage credit usage, and downpayment to income, assets, and other socioeconomic variables, to variables representing the relative price of housing and homeownership, and to certain variables representing the present value and cash flow costs of mortgage credit. Several mortgage-related variables are found to be influential in housing demand decisions. These models are then used to simulate alternative instrument introduction. The graduated-payment and price-level adjusted mortgages are predicted to be superior to the current instrument of mortgage finance in encouraging homeownership, housing consumption, and the use of mortgage credit among all household classes. The standard variable-rate mortgage, especially one tied to a short-term interest rate, is predicted to be inferior to the standard instrument, with the most adverse impacts upon lower-income, young, elderly, and black households.     

Market Conditions and Housing Choices: A Comparison of Homeownership Across Three Decades

This article uses information on out‐of‐pocket housing cost and house price appreciation along with the geo‐coded version of the Panel Study of Income Dynamics to consider the differences in the impact of these and other variables on the tenure choices of sample households across three time periods, the 1970s, the 1980s and the 1990s. Specifically, an extended continuous time probability model is used to examine households' transitions from renting to owning and subsequent possible transitions either back to rental tenure or to another owned home during our three observation periods. Coefficient estimates show that financial variables such as house price appreciation and out‐of‐pocket housing cost play an important role in determining all the transitions. In addition, the analysis demonstrates the interesting result that the cumulative likelihoods of homeownership derived from the model are consistently lower than the probabilities of an initial transition to homeownership from rental tenure during the observation period. Finally, the magnitude and timing of the impact on homeownership of a policy experiment that eliminates the mortgage interest deduction are shown to differ substantially across the three decades.     

Risk Segmentation of American Homes: Evidence from Denver

This article empirically examines the segmentation of house price risk across 99 ZIP‐code‐delineated neighborhoods in metropolitan Denver. The house price risk in each neighborhood is measured with the temporal variation of quarterly appreciation rates of the neighborhood house price index over the 2002–2007 period. Cross‐sectional regressions of neighborhood house price risk on the median household income and the percentage of population in poverty from the 2000 census data for the same neighborhoods provide strong evidence that the house price risk is significantly higher in low‐income/poor neighborhoods. Subperiod analyses further indicate that the risk segmentation exists in both a booming period (pre 2005:2) and a busting period (post 2005:3). The results indicate that homeownership can be a much riskier investment for low‐income/poor households.     

Housing Tenure Choice in Australia and the United States: Impacts of Alternative Subsidy Policies

This article compares the homeownership rates of young households in Australia and the United States and evaluates the impacts of the two countries' different approaches to subsidizing homeownership. Since about 1950, Australia's rate of homeownership has consistently been higher than that of the United States. The homeownership rate for young adults is also significantly higher in Australia. While the United States allows mortgage interest and property taxes to be deducted from income for tax purposes, Australia has provided cash subsidies for down payments and mortgage payments. We conclude that differences in housing costs and household characteristics do not explain differences in ownership rates. We also conclude that differences in subsidy policies have only a minor impact on ownership rates.     

Homeownership Effects of Alternative Mortgage Instruments*

Most of the interest in alternatives to the standard mortgage instrument has centered on the ability of the alternatives to improve on the performance of the mortgage instrument over the business cycle. The focus in this paper is on the long-term effects on homeownership rates and associated additional residential construction. The instruments are found to offer potentially large increases in homeownership rates by reducing monthly mortgage payments. Widespread adoption of those instruments causing larger payment reductions would allow around one million more households to become owner-occupants. The demand for new single-family homes would increase over the long run by 3 to 4 percent a year. Homeownership could be further increased by a time-limited subsidy directed at moderate income families.     

Another Look at Tenure Choice, Inflation, and Taxes

The purpose of this paper is to explore the impact of inflation on the demand for housing. The first part of the paper presents a theoretical model that identifies the effects of inflation on the after-tax cost of housing and the choice between rental and owner-occupied housing. The second part discusses the results of a simulation model that measures the effect of inflation on the aggregate demand for housing, the aggregate homeownership rate, and the price of housing. The paper concludes that while inflation can be expected to increase the aggregate demand for housing and the price of housing relative to the general price level, inflation should ultimately lead to lower rates of homeownership. A corollary that is probably more relevant today is that lower inflation rates should reduce the real value of the housing stock and increase the homeownership rate. The paper also contains forecasts of the impact of the Tax Reform Act (TRA) of 1986 upon housing demand and the probability of homeownership for a variety of households.     

The Dynamics of Homeownership: Eliminating the Gap Between African American and White Households

This article uses a sample of young renters from the Panel Study of Income Dynamics and a continuous‐time econometric model to explore not only the initial tenure transition to first‐time homeownership, but also subsequent possible tenure transitions to a second owned home, back to rental tenure and, indirectly, to a second owned home from rental tenure. Once estimated, the predicted probabilities of these transitions are used to calculate the probability of homeownership at various times for households in the sample. These estimates are done separately for African Americans and whites for two different 11‐year time intervals, 1987–1997 and 1993–2003. A primary result is that if African American education, income, net wealth and savings behavior could be brought in line with that of white households the majority of the racial gap in homeownership could be eliminated in either time period.     

Jobs Lost, Jobs Regained: An Analysis of Black/White Differences in Job Displacement in the 1980s

Over the period 1982–1991, black men were considerably more likely to experience job displacement than were white men, and following displacement, the likelihood of reemployment was substantially lower for black men. Using data from the 1984–1992 Displaced Worker Surveys, we find that black men experienced rates of job displacement that were 30 percent higher, and reemployment rates that were 30 percent lower than the corresponding rates for white men. We find that racial differences in education levels and occupational distributions explain part of these racial gaps in job displacement and reemployment, whereas racial differences in industry distributions worked to narrow these gaps.     

Effects of Housing Codes on Local Housing Markets

Housing codes are typically instituted in order to raise the average level of housing quality in a community. However, in doing so, the institution of a housing code likely has effects on other housing characteristics. Using data from municipalities in North Carolina, this study finds that municipalities with housing codes have higher average occupancy densities among all households and lower homeownership rates among low-income households, but housing codes have no statistically discernible effect on housing values and expenditures. The results suggest that housing codes are not costless; most importantly, codes force consumers to trade housing quantity for quality.     

Borrower Attitudes Toward Alternative Mortgage Instruments*

Much of the existing literature on homeownership assumes that financial markets work well enough to allow households to translate permanent income into effective demand. However, transaction costs, imperfections, and uncertainties all constrain the markets' operation so that people are often forced to choose a quantity of housing stock that diverges from their desired consumption level. Instead of being able to borrow against future income for the down payment or to make monthly payments in a pattern that matches future income, young families in their early years may be constrained from purchasing the size house they desire, and older households may remain in homes larger than they need. In light of these market imperfections, housing and tenure decisions depend not only on permanent income and the relative price of housing services, but also on such mortgage parameters as monthly payment patterns, down payment, and rate of equity accumulation. Models of the demand for housing and homeownership described in the existing literature do not include these parameters of mortgage finance. Mortgage terms are important factors in housing consumption and investment decisions. Because the standard mortgage no longer seems appropriate for all households under all economic conditions, the extent to which alternative mortgage instruments meet the requirements and preferences of different segments of the market becomes an important issue.     

Measuring Neighborhood Investments: An Examination of Community Choice

Community choice is a very important household decision, since it represents an investment in community attributes that can have a significant effect on the quality of life of all household members, particularly by influencing the future prospects of children. In this paper, we examine the housing and community choices of migrants to and within Los Angeles County identified in the 1990 5% public-use sample of the Census. Controlling for income, we find that expenditures on housing structure are quite similar across races. However, controlling for income, black and Hispanic households consume significantly less in community attributes than white households.     

Rates of Return on Housing of Low-and Moderate-Income Owners

While long-term returns to capital invested in owner-occupied housing have been competitive with other investment alternatives, no evidence exists on the market performance of the owner-occupied housing in which low- and moderate-income households would be most likely to invest. This article thus attempts to answer the question of whether the "affordable housing units" that are relevant to policy discussions concerning low- and moderate-income homeownership have experienced different rates of price appreciation than have higher valued dwellings. The national file of the American Housing Survey is used to estimate appreciation rates by value class in representative U.S. housing markets. We find that for the period 1974 through 1983 appreciation rates for lower valued housing were generally about equal to those for higher valued housing.     

Black-White Wage Differences among Young Women, 1977-86

Until the 1970s, wage rates converged for black and white women, especially young women. However, the pay gap between black and white women in their twenties rose. 074 log points between 1977 and 1986. This paper uses data from the 1977 National Longitudinal Survey of Young Women and the 1986 National Longitudinal Survey of Youth to explore reasons for the change. Changes in the relative level of work experience and in the rate of return to schooling are emphasized.     

Can household-based food consumption surveys be used to make inferences about nutrient intakes and inadequacies? A Bangladesh case study

Household Consumption and Expenditures Surveys (HCES) are increasingly being used to make inferences about individual food consumption, despite the fact that they collect food data at only the household level. Usually the analysis assumes that the household’s food is distributed among its members in direct proportion to each member’s share of the household’s total energy requirements; what is referred to as the adult male equivalent (AME) approach. Using the 2011–2012 Bangladesh Integrated Household Survey—which collected consumption data for all members of rural households using combined 24-hour recall (24HR) and food weighing methods—this study directly compared probability-based average estimates of intakes, intake gaps, and the prevalence of inadequacies as estimated by the 24HR and those calculated using the AME approach for energy and each of four micronutrients: vitamin A, iron, zinc, and calcium.At the population level, for iron, vitamin A, and calcium, more than 97% of all individuals had the same estimated prevalence of adequate or inadequate nutrient intakes using 24HR and AME-based estimates. In the case of energy and zinc, roughly 77 and 83% of the sample population had identical adequacy statuses, respectively. The magnitude of inadequacies (the nutrient gaps) differed by 8 percentage points for energy and less than 3 percentage points for the four micronutrients. Disaggregating intakes and inadequacies by age groups revealed that the vast majority of variance between the two methods was highly concentrated in the first few years of life. Children 3 years of age and younger constituted 7.5% of the population but had 13.1% of the inconsistencies in intake adequacy status. 54% of children 3 and under had at least one pair of inconsistent prevalence estimates. While there are important differences in the levels of estimated energy and micronutrient intakes using 24HR and the AME-based estimates for children 3 and under, the results are remarkably comparable for the rest of the population.     

Inflation,Taxes, and the Demand For Housing*

Inflation affects homeownership and housing adversely through the “real-payment tilt” of the conventional mortgage. Expectations of additional housing price appreciation, however, may induce households to invest in housing. This paper uses household data to estimate the demand for homeownership and housing, and it takes explicit notice of expectations of housing price appreciation. The results indicate for each 1% increase in the inflation rate that the conditional probability of purchase falls by 3%. Interest rate effects outweigh appreciation and tax effects. Given the decision to purchase, housing appreciation expectations do not have large effects on the amount purchased.