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 Capitalization of School Quality into Renter and Owner Housing

Residential property amenities including school quality should be capitalized into both rent and property sale prices. Evidence of price and rent premiums for higher school quality is provided. The price premium for school quality for owners exceeds the premium for renters. The premiums paid by renters and owners vary with the likelihood the household directly uses school services, housing market conditions, whether the property is in an urban or suburban area and by the observed school quality in the years leading to the transaction. The larger price premium paid by owners is supported by enhanced liquidity and tempered price volatility for properties located in quality school districts.     

The Spatial Proximity of Metropolitan Area Housing Submarkets

An important question related to housing submarket construction is whether geographic areas must be spatially adjacent in order to be considered the same submarket. Housing consumers do not necessarily limit their search to spatially concentrated areas and may search similarly priced neighborhoods located throughout a metropolitan area when making housing consumption decisions. This article examines two alternative procedures for delineating submarkets: one that combines adjacent census block groups into areas with enough transactions to estimate the parameters of a hedonic house price equation and a second that permits spatial discontinuities in submarkets. The criterion used to evaluate the alternative techniques is the accuracy of hedonic house price predictions.     

The Impact of Housing Vouchers on Mobility and Neighborhood Attributes

This article examines the effect of receiving a housing voucher on the mobility and neighborhood attributes of low‐income households. Housing policy has shifted toward vouchers in lieu of public housing projects to allow households to move away from high‐poverty areas. We use administrative records collected from an experiment to examine this issue. We find that households moved immediately after receiving the subsidy but did not relocate to lower poverty neighborhoods until several quarters later. Our findings suggest that recipients initially lease in nearby units to secure the subsidy, while continuing to search for housing in lower poverty neighborhoods.     

Do the urban poor face higher food prices? Evidence from Vietnam

Whether there is a poverty penalty, in terms of food prices, is unsettled in the literature after more than four decades of study. Unit values from household surveys suggest that prices vary with income while outlet surveys typically find food prices varying with store type but not with neighborhood income. Most outlet surveys are from rich countries, with just one spatially limited study from a developing country. In this paper we use especially collected food price data from metropolitan areas of Vietnam to test whether the urban poor face higher food prices. Food prices in low-income neighborhoods are 1% lower, on average, than in other neighborhoods. Unit values give a different answer to the question of whether the poor face higher prices and are not suited to answer such a question.     

The Incidence of the Land Use Regulatory Tax

Land use regulation has been found to impose a substantial tax on housing within select U.S. metropolitan areas. In this article, we develop hypotheses regarding the incidence of this tax by income class and racial group within these areas. Parcel‐level data from Miami‐Dade County, Florida, are used to test our hypotheses. We find that, while the tax rises with a household's permanent income, this rise is less than proportional, making it a regressive tax. We also find, controlling for household permanent income, that the tax is a higher percentage of the price of homes located in black neighborhoods in comparison to those located in white or Hispanic neighborhoods.     

Marking Single–Family Property Values to Market

This paper is the text of the 2001 Presidential Address for the American Real Estate and Urban Economics Association. House price prediction accuracy is a function of: (1) the procedure used to identify within–metropolitan–area housing submarket boundaries, (2) the econometric technique used to estimate the parameters of the house price model and (3) the characteristics of the local housing market. This paper empirically examines several procedures for delineating within–metropolitan–area housing submarket boundaries. In addition, the paper examines the increase in prediction accuracy that can be achieved by employing spatial econometric techniques to spatially adjust ordinary least squares house price predictions. Finally, the paper examines the influence that local housing market characteristics have on house price prediction accuracy. Housing market characteristics examined here are: (1) structural characteristics of neighborhood properties, (2) heterogeneity of the neighborhood housing stock and (3) housing market liquidity. Prediction accuracy is examined using hedonic house price equations with over 40,000 single–family transactions for Dallas, Texas.     

A Principal Component Logistic Analysis of the Mobility Decision in Transitional Neighborhoods

This study represents an extension of the literature that examines the factors affecting a household's decision to make an intrametropoli-tan move by emphasizing the importance of neighborhood characteristics in addition to the traditional life-cycle variables on the decision to move. Because of the dichotomous nature of the dependent variable and the collinearity among the independent variables, we employ both principal component and logit analysis. The primary data base is drawn from a sample of households moving into and out of two areas in St. Louis.
The results indicate that many of the traditional life-cycle variables are significant, although some behave differently than in the usual case because of the transitional nature of the neighborhoods we examine. The results also suggest that a household's perceptions regarding the quality of the neighborhood are also important determinants of mobility. Finally, when the maximum likelihood logit analysis results are compared with the principal component logit results, we find that the principal component logit technique performs better in almost all instances.     

Impact of New Housing Construction on Racial Patterns

This paper inquires into the racial distribution impact of a projected significant increase in housing starts, under conditions of a federal fair housing law only now beginning to be effective and of an increase in the number of black families in the upper range of minority incomes. It examines the evidence within the broad context of changing urban forms and functions. The impact of new housing construction is analyzed under the headings of minority access to (1) new units and (2) filtered units in mover chains initiated by housing starts. Data are cited to support the conclusion that blacks' access to new units, while sharply increased over previous performance, will not have important effects on racial distribution, especially not increasing blacks as a proportion of suburban populations. Blacks' access to filtered housing, it is concluded, continues to be largely blocked by the dual racial market in real estate, except where such housing functions to extend the ghetto.     

Concentrated Housing Code Enforcement in St. Louis

This research employs probit analysis to examine the selection criteria governing nonuniform application of concentrated housing code enforcement in the city of St. Louis. The study has three specific objectives: (1) to identify the goals and geographic selection criteria characteristic of St. Louis' concentrated code enforcement program during the twenty years that it was in effect; (2) to establish whether program goals and selection criteria changed over time and, if so, why; and (3) to provide some judgment on the value of code enforcement as a policy tool to either reverse or slow neighborhood decline. Although fundamentally a case study, the conclusions should be of interest to those concerned with conservation of the housing stock in older cities throughout the country.     

Housing Regulation,Externalities and Residential Property Prices

This article examines the effects of quantity restrictions on residential property prices in the presence of neighborhood externalities. A Brigham Young University policy limiting students’ location choices provides a natural experiment for studying the externality and quantity restriction effects on property values. A flexible hedonic model is used to control for nonstudent population spatial sorting by type. The estimates show significant positive quantity restriction and student agglomeration effects on student housing prices. There are also significant differences in the negative student externality across nonstudent neighborhoods, with the quantity restriction reinforcing (offsetting) the student price premium (discount) at the boundary.     

The burgeoning role of iBuyers in the housing market

We examine the iBuyers’ business model and their impact on housing markets. We find that iBuyers tend to enter neighborhoods that have more easily priced and homogeneous homes, as price discovery is simpler and more consistent with their pricing algorithm in those areas. iBuyers purchase homes at lower prices than individual owner-occupiers, and this acquisition discount reflects the benefits iBuyers offer to motivated sellers rather than distressed home purchases or unobserved lower-quality housing characteristics. Last, a greater presence of iBuyers results in a higher volume of local housing transactions and encourages more home sellers to sell without listing.     

Immigration,Capital Flows and Housing Prices

Research on immigration and real estate has found that immigrants lower house prices in immigrant destination neighborhoods. In this article, we find that this latter result is not globally true. Rather, we show that immigrants can raise neighborhood house prices, at least in the case of the wealthy immigrants that we study. We exploit a surprise suspension and subsequent closure of a popular investor immigration program in Canada to use a difference‐in‐differences methodology comparing wealthy immigrant destination census tracts to nondestination tracts. We find that the unexpected suspension of the program had a negative impact on house prices of 1.7–2.6% in the neighborhoods and market segments most favored by the investor immigrants. This leads to an approximate lower bound on the effect of capital inflows of 5%.     

Financing Residential Development with Special Districts

This paper empirically examines the extent to which the property tax liability created by financing residential infrastructure using special district bonds is capitalized in house prices. We compare house prices for single‐family detached homes built within development districts to similar properties located outside development districts. Our hedonic specification includes the usual housing characteristics and controls for the influence of spatial attributes using Census Block Group “neighborhood” fixed effects. The preferred empirical specification restricts the data to neighborhoods that have numerous sales of recently constructed single‐family detached homes located both within and outside development districts. The empirical results indicate that house prices for homes located within development districts are lower than house prices for similar homes located outside of development districts, but the amount of property tax capitalization is significantly less than full. Results depend on our Generalized Methods of Moments estimator, which instruments property tax rates using the characteristics of development districts. We identify valid instruments by restricting transactions to properties located in rapidly growing suburban developments.     

The price effects of greening vacant lots: How neighborhood attributes matter

We identify the effects of greening vacant lots on nearby housing prices and show how neighborhood attributes matter to these outcomes. Using data from a longstanding program in Philadelphia, we find that prices for houses within 1,000 feet of a greened vacant lot rise by about 4%, consistent with the literature, with the effect size increasing over time. Using the extensive data available in Philadelphia, we show how these effects vary by the attributes of the neighborhood in which they occur, with larger effects in areas with a high share of vacant land and higher-than-average median household incomes, with peak responses estimated at 19% and 15%, respectively. We demonstrate the importance of sample selection bias adjustment for identification of the effect of vacant lot greening.     

Why Do Sellers Hold Out in the Housing Market? An Option‐Based Explanation

In the residential housing market, home owners are reluctant to sell in a declining market. We build a model which focuses on the embedded call option associated with home ownership that allows owners to delay the (irreversible) sale. When prices are low, the (opportunity) cost of a sale, i.e., a higher implied gain from a future sale, likely exceeds its immediate trade benefit and an owner is better off waiting for market conditions to improve. The model also highlights the importance of supply conditions: a more constrained supply is associated with a longer delay. Using state‐level residential housing data, we find evidence consistent with the model. Transaction volume is increasing (decreasing) in the rental growth rate (volatility) in the cross section; their effects are amplified in areas with low supply elasticities, and in times with low market prices. Overall, this paper provides a rational explanation for delayed trading decisions in the housing market.     

Do Owners Take Better Care of Their Housing Than Renters?

According to conventional wisdom, homeowners take better care of their housing than do renters, as a result of the rental externality. We argue that two forms of homeowner externality ootentially create similar incentives for owners to undermaintain their housing. The first is due to the inability of prospective buyers to fully observe past seller maintenance, and the second is a result of the limited liability of borrowers in the event of mortgage default. Empirical analysis verifies the existence of the mortgage externality, but we find no evidence for the resale externality.     

Race and Post-Displacement Earnings Among High-Tech Workers

This study examines racial variations in post-layoff earnings among a cohort of workers displaced in 1985 from Silicon Valley's high-technology industries. The analysis shows that blacks and Hispanics suffered greater earnings losses than non-Hispanic whites, and that this racial disparity occurred both among those who found other jobs within the high-tech sector and among those who were reemployed outside the high-tech sector. There were no statistical differences in outcomes between Asians and non-Hispanic whites.     

The Effects of Race and Worker Productivity on Performance Evaluations

Using personnel data from a large firm, we examine the role of race, supervisor's race, and worker productivity on performance ratings for a diverse employee population. Controlling for worker productivity and other demographic variables, black employees receive lower ratings than whites. These differences in performance evaluations are associated with the racial composition of the subordinate-supervisor pair. Racial differences between subordinate and supervisor lead to lower ratings for both black and white subordinates.