Northern Ireland Housing Market Areas

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A Panel of Price Indices for Housing, Other Goods, and All Goods for All Areas in the United States 1982-2008

This paper produces a panel of price indices for housing, other produced goods, and all produced goods for each metropolitan area in the United States and the non-metropolitan part of each state from 1982 through 2008 that can be used for estimating behavioral relationships, studying the workings of markets, and assessing differences in the economic circumstances of people living in different areas. Our general approach is to first produce cross-sectional price indices for a single year 2000 and then use BLS time-series price indices to create the panel. Our geographic housing price index for 2000 is based on a large data set with detailed information about the characteristics of dwelling units and their neighborhoods throughout the United States that enables us to overcome many shortcomings of existing interarea housing price indices. For most areas, our price index for all goods other than housing is calculated from the price indices for categories of non-housing goods produced each quarter by the Council for Community and Economic Research. In order to produce a non-housing price index for areas of the United States not covered by their index, we estimate a theoretically-based regression model explaining differences in the composite price index for non-housing goods for areas where it is available and use it to predict a price of other goods for the uncovered areas. The overall consumer price index for all areas is based on the preceding estimates of the price of housing and other goods. The paper also discusses existing interarea price indices available to researchers, and it compares the new housing price index with housing price indices based on alternative methods using the same data and price indices based on alternative data sets. Electronic versions of the price indices are available online.Interarea price indices, interarea housing price indices, geographic cost-of-living differences, geographic price differences

Preserving, Protecting, and Expanding Affordable Housing: A Policy Toolkit for Public Health

Resurgent interest in urban living is helping to revive neighborhoods in numerous American cities, stabilizing populations and sometimes beginning to reverse previous declines. One consequence of the influx of residents is new public and private investment in amenities such as parks, bike paths and grocery and other stores. However, new demand and investment can also drive up housing costs. That's particularly true in areas that have traditionally been affordable to low- and moderate-income individuals and families, notes a report by ChangeLab Solutions. With support from Kresge's Health Program, the nonprofit ChangeLab Solutions developed a guide to help practitioners and community advocates preserve and expand the number of affordable rental housing options in high-demand neighborhoods. The guide is aimed at practitioners who work at the intersection of housing and health, an area of increasing emphasis for Kresge's Health Program.The ChangeLab team has produced a policy toolkit with information on housing market trends and research on the links between rising housing costs and poor health outcomes. The toolkit identifies strategies to help ensure that households of all incomes have housing options in the areas where they want to live. It covers six policy areas: preservation, protection, inclusion, revenue generation, incentives and property acquisition

Defining housing market areas using commuting and migration algorithms.Catalonia (Spain) as an applied case study.

In the literature on housing market areas, different approaches can be found to defining them, for example, using travel-to-work areas and, more recently, making use of migration data. Here we propose a simple exercise to shed light on which approach performs better. Using regional data from Catalonia, Spain, we have computed housing market areas with both commuting data and migration data. In order to decide which procedure shows superior performance, we have looked at uniformity of prices within areas. The main finding is that commuting algorithms present more homogeneous areas in terms of housing prices.

The Dynamics of Metropolitan Housing Prices

This article is the winner of the Innovative Thinking ‘‘Thinking Out of the Box’’ manuscript prize (sponsored by the Homer Hoyt Advanced Studies Institute) presented at the 2001 American Real Estate Society Annual Meeting. This study examines the dynamics of real housing price appreciation in 130 metropolitan areas across the United States. The study finds that real housing price appreciation is strongly influenced by the growth of population and real changes in income, construction costs and interest rates. The study also finds that stock market appreciation imparts a strong current and lagged wealth effect on housing prices. Housing appreciation rates also are found to vary across areas because of location-specific fixed-effects; these fixed effects represent the residuals of housing price appreciation attributable to location. The magnitudes of the fixed-effects in particular cities are positively correlated with restrictive growth management policies and limitations on land availability.

Moving On: Benefits and Challenges of HOPE VI for Children

Examines the well-being of children in the federal HOPE VI housing program in the areas of behavior, health, and school engagement. Based on surveys of residents at five Hope VI public housing sites

Indigenous housing need

This paper provides an update of the evidence on different aspects of the housing situation of Indigenous Australians. By using a regional approach, it is possible to get a sense of how the housing circumstances of the population vary across our cities, regional and remote areas. Data for the analysis is drawn mainly from the 2006 and 2011 Censuses and the paper examines variation across aspects of housing use and overcrowding, housing tenure, homelessness, and household income and housing costs. One of the main findings from the analysis is that although housing need is greatest in remote areas (with very high rates of overcrowding in some parts of the country) there are still large disparities with the non-Indigenous population in urban regions. Because of the number of Indigenous Australians living in these parts of the country, urban areas cannot be ignored when trying to meet government targets

The Crisis in America's Housing: Confronting Myths and Promoting a Balanced Housing Policy

This report debunks three common myths about housing policies. Myth 1: Subsidized housing is unnecessary. Myth 2: Federal government housing subsidies go disproportionately to low-income renters in urban areas. Myth 3: Homeownership is the best housing option for everyone.

Understanding the Jobs-Affordable Housing Balance in the Richmond Region

The mismatch between location of jobs and housing has a significant impact on the efficiency and quality of life within metropolitan areas. A well-planned region strives to be a “community of short distances.” A wide range of housing choices located close to employment centers could shorten commuting distances and substantially reduce government outlays for transportation facilities, reduce household transportation expenses, and increase feasibility of pedestrian movement. These needs are particularly important to families earning modest wages. CURA, with support from The Community Foundation Serving Richmond and Central Virginia and the Richmond Association of Realtors, has analyzed the spatial pattern of lower-wage jobs and lower-cost housing within the Richmond Metropolitan Statistical Area (MSA). The analysis reveals how low-cost housing and modest-wage jobs in the Richmond region are not well-balanced. Few areas in which modest-wage jobs cluster have comparable levels of low-cost housing. The established suburban areas north, west, and south of Richmond’s urban center have a large number of retail and service jobs that pay modest wages, yet these areas provide few affordable-dwelling units for these wage earners. The second part of this study addressed a major obstacle to the construction of new, affordable-housing units: fears. Many new, affordable dwelling units, by financial necessity, will be built at higher densities and smaller size to reduce cost. Homeowners in nearby neighborhoods often oppose construction of these units over fear of reduced property values, higher crime, and other factors. Six higher-density, 3 lower-cost housing projects were studied for their impact on the nearby middle-income neighborhoods. Documentation of home sale prices, assessment values, and crime rates before and after construction of the more affordable dwelling units did not reveal any notable long-term impact on crime rates, property values, or property sales

Delivering Better Housing and Employment Outcomes for Offenders on Probation

The report ‘Delivering better housing and employment outcomes for offenders on probation’ presents the findings of qualitative research which included fieldwork in six probation areas with professionals involved in the delivery of housing, employment, training and education