http://www.rssboard.org/rss-specification 720 https://escholarship.org/uc/iber_bphup_meeting_papers/rss Recent eScholarship items from Seminar and Conference Papers Fri, 15 May 2026 13:51:09 +0000 https://escholarship.org/uc/item/70j3n8bh <p>The perennial debate over the causes of housing segregation between whites and blacks has intensified in recent years, with a greater diversity of opinions than ever before. While suggestive evidence on these causes proliferates, direct evidence connecting competing hypotheses to observed levels of housing segregation is rare due to the unavailability of data. This study provides direct evidence on the causes of housing segregation using new data from the Multi-City Study of Urban Inequality. The central finding is that blacks’ preferences for black neighborhoods and whites’ preferences for white neighborhoods are major causes of housing segregation.</p> https://escholarship.org/uc/item/70j3n8bh Mon, 1 Apr 2002 00:00:00 +0000 Ihlanfeldt, Keith R. Scafidi, Benjamin P. https://escholarship.org/uc/item/9h80h7gh <p>This paper uses employment and output in high-tech industries, venture capital funding, and the number of dot-com firms per 1000 private workers, at the metropolitan level, to identify their contribution to differences in housing market outcomes. Housing prices in New Economy markets are found to be higher, peakier and more volatile than in old economy markets. Homeownership rates are found to be lower in new economy metro areas while crowding is found to be higher. Although the distribution of housing values, cost, and rents was more equal in New Economy markets, the cause would seem to be differences in metro area income levels, with poorer MSA's having greater inequalities. Regression analysis is used to identify the contribution of traditional supply and demand factors such as job growth, income, residential construction, as well as New Economy indicators, to housing market outcomes. Rather than being fundamentally different, New Economy housing markets are found to be... https://escholarship.org/uc/item/9h80h7gh Fri, 22 Mar 2002 00:00:00 +0000 Landis, John Elmer, Vicki Zook, Matt https://escholarship.org/uc/item/9668w1w4 The New Demographics of Housing https://escholarship.org/uc/item/9668w1w4 Fri, 22 Mar 2002 00:00:00 +0000 Masnick, George S. https://escholarship.org/uc/item/7d81r1v9 NIMBYs and Knowledge: Urban Regulation and the "New Economy" https://escholarship.org/uc/item/7d81r1v9 Fri, 22 Mar 2002 00:00:00 +0000 Malpezzi, Stephen https://escholarship.org/uc/item/76s50190 <p>Housing policies for low-income families may affect the concentration of poverty in America, which could in turn affect the ability of families receiving housing services to become economically self-sufficient. In this paper we examine the effects of a randomized housing- voucher experiment on welfare receipt and labor market outcomes, both of which are measured using state administrative data. We find that providing families in high-poverty public housing areas with housing vouchers that can only be redeemed in low-poverty neighborhoods reduces rates of welfare use by around 6 percentage points. Most of this reduction in welfare receipt appears to be explained by differences in welfare-to-work transitions. We also find that providing families with unrestricted housing vouchers has little effect on economic outcomes beyond the first year.</p> https://escholarship.org/uc/item/76s50190 Fri, 22 Mar 2002 00:00:00 +0000 Ludwig, Jens Duncan, Greg J. Pinkston, Joshua C. https://escholarship.org/uc/item/6zj5g1jb Subprime and Predatory Mortgage Refinancing: Information Technology, Credit Scoring, and Vulnerable Borrowers https://escholarship.org/uc/item/6zj5g1jb Fri, 22 Mar 2002 00:00:00 +0000 Gale, Dennis E. https://escholarship.org/uc/item/6qs0w2w1 <p>There are indications that the current generation of models used to simulate the geography of housing choice has reached the limits of its usefulness under existing specifications. The relative stasis in residential choice modeling--and urban simulation in general--contrasts with simulation efforts in other disciplines, where techniques, theories, and ideas drawn from computation and complexity studies are revitalizing the ways in which we conceptualize, understand, and model real-world phenomena. Many of these concepts and methodologies are applicable to housing choice simulation. Indeed, in many cases, ideas from computation and complexity studies--often clustered under the collective term of geocomputation, as they apply to geography--are ideally suited to the simulation of residential location dynamics. However, there exist several obstructions to their successful use for these puropses, particularly as regards the capacity of these methodologies to handle top-down dynamics... https://escholarship.org/uc/item/6qs0w2w1 Fri, 22 Mar 2002 00:00:00 +0000 Torrens, Paul M. https://escholarship.org/uc/item/6dm49385 Automated Underwriting and Lending Outcomes: The Effect of Improved Mortgage Risk Assessment on Under-served Populations https://escholarship.org/uc/item/6dm49385 Fri, 22 Mar 2002 00:00:00 +0000 Zorn, Peter Gates, Susan Perry, Vanessa Gail https://escholarship.org/uc/item/5014b3km Housing Needs and Policy Issues in High Tech Economies https://escholarship.org/uc/item/5014b3km Fri, 22 Mar 2002 00:00:00 +0000 Nelson, Kathryn P. https://escholarship.org/uc/item/4vr3c8qv Does the New Economy Drive the Santa Clara Housing Market? https://escholarship.org/uc/item/4vr3c8qv Fri, 22 Mar 2002 00:00:00 +0000 Green, Richard K. https://escholarship.org/uc/item/40j453z6 <p>This paper is concerned with the attempt to model and simulate an urban housing system dominated by non-market social housing, primarily to forecast demand for social housing under different scenarios. The urban system concerned is the city of Glasgow and its suburbs, a post-industrial city in West Central Scotland, a region now emerging from long-term structural economic decline. There is an established literature concerned with the development of metropolitan housing market models in both the USA and the UK. The present model draws from these traditions but is heavily influenced by the work of Meen (1999). The Glasgow model is heavily demand-determined with only a limited supply-side but with a standard market-clearing setup. Data for the model comes from the Scottish House Condition Survey 1996 and from extraneous housing, population and household estimates from local authority planners. The focus of the core part of the paper is primarily on the demand-side. Demand in the... https://escholarship.org/uc/item/40j453z6 Fri, 22 Mar 2002 00:00:00 +0000 Gibb, Kenneth https://escholarship.org/uc/item/27h7789n <p>A major difficulty in implementing land/site value taxation is imputing the land value of builton sites. The literature has focussed on two alternatives. The first, residual site value, measures postdevelopment site value as property value less structure value, measured as depreciated construction costs. Residual site value would be relatively easy to estimate, but residual site value taxation is distortionary, discouraging density. The second, raw site value, measures post-development site value as "what the land would be worth were there no building on the site (though in fact there is)". Raw site value taxation is neutral (does not distort the timing and density of development), but the estimation of raw site value would be complex so that assessment would likely be less fair and more arbitrary, contentious, and prone to abuse. This paper asks the question: Is it not possible to design a property tax system (taxation of predevelopment land value, post-development structure... https://escholarship.org/uc/item/27h7789n Fri, 22 Mar 2002 00:00:00 +0000 Arnott, Richard https://escholarship.org/uc/item/1vz2z20j <p>In this study, we present an analysis of the impacts of high tech economic growth on the incidence of critical housing problems among all households and among moderateincome working families in major metropolitan areas. We rely on data from the 1999 American Housing Survey, supplemented with data from the State of the Cities 2000, Landis and Elmer (2001), and Burby et al. (2000). Overall, we found that the level of high tech activity impacts, positively and significantly, the incidence of critical housing problems for all households and for moderate-income working households, regardless of tenure. Consistent with anecdotal information about the problems of working families, we found stronger impacts on moderate-income working households than on all households. We conclude that housing policy should be broadened to address the problems of working families as well as those of the poor, especially when dealing with problems arising from rapid economic growth.</p> https://escholarship.org/uc/item/1vz2z20j Fri, 22 Mar 2002 00:00:00 +0000 Querica, Roberto G. Stegman, Michael A. Davis, Walter R.