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Housing Units (housing + unit)

Distribution by Scientific Domains

Humanities and Social Sciences	30%
Business, Economics, Finance and Accounting	30%

Selected Abstracts

The Anticipated Capitalisation Effect of a New Metro Line on Housing Prices,

FISCAL STUDIES, Issue 2 2008
Claudio A. Agostini
H54; R21; R53 Abstract Housing units with closer access to public transportation enjoy a higher market value than those with similar characteristics but poorer access. This difference can be explained by the lower cost of transport to the main workplaces and shopping areas in town. For this reason, investments in public transport infrastructure, such as building a new metro line, are capitalised totally or partially into land and housing prices. This work empirically analyses the degree of capitalisation into housing prices of the benefits of the new Line 4 of the Santiago metro system, which began operating in December 2005. We focus on anticipated capitalisation into housing prices at the moment construction of Line 4 was announced and at the moment information on the basic engineering project was unveiled, identifying the location of the future stations. We use a unique database containing all home buying and selling transactions in the Greater Santiago area between December 2000 and March 2004. The results show that the average apartment price rose by between 4.2 per cent and 7.9 per cent after construction was announced and by between 3.1 per cent and 5.5 per cent after the location of the stations was identified. These increases were not distributed evenly, but depended on the distance from the apartment to the nearest station. An indirect effect of this kind of capitalization is that property tax collections will increase if property is reappraised following the price rise. This effect is not negligible in magnitude and could represent 11 to 17 per cent of investment in the new metro line. This raises and interesting discussion on how the metro network extension is financed. [source]

THE ROLE OF CRIME IN HOUSING UNIT RACIAL/ETHNIC TRANSITION,

CRIMINOLOGY, Issue 3 2010
JOHN R. HIPP
Previous research frequently has observed a positive cross-sectional relationship between racial/ethnic minorities and crime and generally has posited that this relationship is entirely because of the effect of minorities on neighborhood crime rates. This study posits that at least some of this relationship might be a result of the opposite effect,neighborhood crime increases the number of racial/ethnic minorities. This study employs a unique sample (the American Housing Survey neighborhood sample) focusing on housing units nested in microneighborhoods across three waves from 1985 to 1993. This format allows one to test and find that such racial/ethnic transformation occurs because of the following effects: First, White households that perceive more crime in the neighborhood or that live in microneighborhoods with more commonly perceived crime are more likely to move out of such neighborhoods. Second, Whites are significantly less likely to move into a housing unit in a microneighborhood with more commonly perceived crime. And third, African American and Latino households are more likely to move into such units. [source]

LAND-USE DYNAMICS BEYOND THE AMERICAN URBAN FRINGE,

GEOGRAPHICAL REVIEW, Issue 3 2001
DAVID M. THEOBALD
ABSTRACT. A deficiency common to both the historical debates over loss of agricultural land and the current discussions of urbanization and sprawl is a limited understanding of land-use dynamics beyond the urban fringe. Data aggregated at the county level poorly capture the fine-grained pattern of land-use change beyond the dynamic urban-rural interface. Furthermore, current urban-based definitions are poorly suited to delineate these areas, and low-density, exurban land use is difficult to measure using existing land-cover databases. Urbanization and the conversion of once-agricultural or other natural resource lands to other uses has traditionally been tracked using urban areas, as delimited in the U.S. census. Urban densities are typically defined as areas with more than 1,000 people per square mile, or 1.6 people per acre (U.S. Census Bureau 2000). Assuming an average of 2.5 people per housing unit, this translates to roughly 0.7 units per acre, or approximately 1 unit per 1.6 acres. The analytical units used in the census, however, both overbound and underbound areas with urban densities. About one-third of urban areas in 1990 comprised lower-than-urban housing density, thanks to overbounding. But, then, one-third of locations that had urban-level housing densities failed to be included in urban areas as a result of underbounding, which, if counted, would have constituted another 18 million acres of urban area. An increase over time of the average number of acres required per housing unit in exurban and higher-density locations occurred in roughly one-third of U.S. counties from 1960 to 1990 and persisted from 1990 to 2000. In 2000 roughly 38 million acres were settled at urban densities, and nearly ten times that much land was settled at rates from low, exurban density (as low as one house per 40 acres) to higher rates (up to one per 10 acres). This represents a continuing encroachment on land previously given over to other uses,habitat or agriculture. Practitioners of natural resource management need to recognize the ubiquity of exurban development and better incorporate the fine-scale patterns of land use beyond the urban fringe. [source]

Using Multiperiod Variables in the Analysis of Home Improvement Decisions by Homeowners

REAL ESTATE ECONOMICS, Issue 4 2002
Kermit Baker
Though approaching $200 billion a year, spending by homeowners and rental property owners on improvements and repairs to the stock of existing housing units has received little attention in the academic literature. Historically, studies of the determinants of home improvements have focused heavily on the static characteristics of the housing unit (age, value, size, location) and of the occupants (age, income, household composition). This article extends this inquiry by incorporating dynamic factors, namely changes in the composition of the household and previous spending on home improvements. The results of these enhancements are encouraging. Additions of household members and having recently undertaken a major home improvement project are significantly related to home expansion projects. [source]

THE ROLE OF CRIME IN HOUSING UNIT RACIAL/ETHNIC TRANSITION,

A Model of Factors Correlated to Homeownership: The Case of Utah

FAMILY & CONSUMER SCIENCES RESEARCH JOURNAL, Issue 1 2001
Lucy Delgadillo
This article examines the relationship between homeownership and socioeconomic, demographic, and market factors in Utah. Units of analyses were census-designated places. The goal was to provide a model that can be replicated by housing specialists and consumer scientists to gain a better understanding of how homeownership (dependent variable) differs from place to place and how this variation relates to socioeconomic index, population density, affordability ratio, and the median value of owner occupied housing units (independent variables). The 1990 data set was analyzed using bivariate and multivariate analyses. Homeownership percentages were regressed on the linear combination of the socioeconomic scale, log of population density, and affordability ratios. Log of population density was the factor that explained most of the variance. The interaction equation slightly improved the explanatory power, accounting for more than 50% of the variance. [source]

The Cost-Effectiveness of Independent Housing for the Chronically Mentally Ill: Do Housing and Neighborhood Features Matter?

HEALTH SERVICES RESEARCH, Issue 5 2004
Joseph Harkness
Objective. To determine the effects of housing and neighborhood features on residential instability and the costs of mental health services for individuals with chronic mental illness (CMI). Data Sources. Medicaid and service provider data on the mental health service utilization of 670 individuals with CMI between 1988 and 1993 were combined with primary data on housing attributes and costs, as well as census data on neighborhood characteristics. Study participants were living in independent housing units developed under the Robert Wood Johnson Foundation Program on Chronic Mental Illness in four of nine demonstration cities between 1988 and 1993. Study Design. Participants were assigned on a first-come, first-served basis to housing units as they became available for occupancy after renovation by the housing providers. Multivariate statistical models are used to examine the relationship between features of the residential environment and three outcomes that were measured during the participant's occupancy in a study property: residential instability, community-based service costs, and hospital-based service costs. To assess cost-effectiveness, the mental health care cost savings associated with some residential features are compared with the cost of providing housing with these features. Data Collection/Extraction Methods. Health service utilization data were obtained from Medicaid and from state and local departments of mental health. Non-mental-health services, substance abuse services, and pharmaceuticals were screened out. Principal Findings. Study participants living in newer and properly maintained buildings had lower mental health care costs and residential instability. Buildings with a richer set of amenity features, neighborhoods with no outward signs of physical deterioration, and neighborhoods with newer housing stock were also associated with reduced mental health care costs. Study participants were more residentially stable in buildings with fewer units and where a greater proportion of tenants were other individuals with CMI. Mental health care costs and residential instability tend to be reduced in neighborhoods with many nonresidential land uses and a higher proportion of renters. Mixed-race neighborhoods are associated with reduced probability of mental health hospitalization, but they also are associated with much higher hospitalization costs if hospitalized. The degree of income mixing in the neighborhood has no effect. Conclusions. Several of the key findings are consistent with theoretical expectations that higher-quality housing and neighborhoods lead to better mental health outcomes among individuals with CMI. The mental health care cost savings associated with these favorable features far outweigh the costs of developing and operating properties with them. Support for the hypothesis that "diverse-disorganized" neighborhoods are more accepting of individuals with CMI and, hence, associated with better mental health outcomes, is mixed. [source]

Privatising social housing in Taiwan

INTERNATIONAL JOURNAL OF SOCIAL WELFARE, Issue 1 2007
William D.H. Li
This article first reviews how the concept of privatisation has been referred to in the current restructuring of the social housing system, especially in the case of the UK. The term ,privatisation' is then examined in greater detail and its wider meaning is discussed. By using the network approach, privatisation in relation to housing can be understood in terms of the changing combinations of agents involved in providing social housing, which gives rise to the commodified impact on the distribution of social housing. By using the privatisation process of social housing in Taiwan as an example, three distinct combinations in terms of providing social housing are identified. With an increasing number of social housing units being provided by the marketised social housing model where private agents control the process of providing social housing, along with more market rules being involved in the provision and the partial removal of means tests in relation to the distribution of social housing, the privatisation of social housing development in Taiwan is having a major impact on equity. [source]