5 resultados para real estate market

em University of Connecticut - USA


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Potential home buyers may initiate contact with a real estate agent by asking to see a particular advertised house. This paper asks whether an agent's response to such a request depends on the race of the potential buyer or on whether the house is located in an integrated neighborhood. We build on previous research about the causes of discrimination in housing by using data from fair housing audits, a matched-pair technique for comparing the treatment of equllay qualified black and white home buyers. However, we shift the focus from differences in the treatment of paired buyers to agent decisions concerning an individual housing unit using a sample of all houses seen during he 1989 Housing Discrimination study. We estimate a random effect, multinomial logit model to explain a real estate agent's joint decisions concerning whether to show each unit to a black auditor and to a white auditor. We find evidence that agents withhold houses in suburban, integrated neighborhoods from all customers (redlining), that agents' decisions to show houses in integrated neighborhoods are not the same for black and white customers (steering), and that the houses agents show are more likely to deviate from the initial request when the customeris black than when the customer is white. These deviations are consistent with the possibility that agents act upon the belief that some types of transactions are relatively unlikely for black customers (statistical discrimination).

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This paper extends the existing research on real estate investment trust (REIT) operating efficiencies. We estimate a stochastic-frontier panel-data model specifying a translog cost function, covering 1995 to 2003. The results disagree with previous research in that we find little evidence of scale economies and some evidence of scale diseconomies. Moreover, we also generally find smaller inefficiencies than those shown by other REIT studies. Contrary to previous research, the results also show that self-management of a REIT associates with more inefficiency when we measure output with assets. When we use revenue to measure output, selfmanagement associates with less inefficiency. Also contrary with previous research, higher leverage associates with more efficiency. The results further suggest that inefficiency increases over time in three of our four specifications.

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This paper extends the existing research on real estate investment trust (REIT) operating efficiencies. We estimate stochastic-frontier, panel-data models specifying a translog cost function. The specified model updates the cost frontier with new information as it becomes available over time. The model can identify frontier cost improvements, returns to scale, and cost inefficiencies over time. The results disagree with most previous research in that we find no evidence of scale economies and some evidence of scale diseconomies. Moreover, we also generally find smaller inefficiencies than those shown by other REIT studies. Contrary to previous research, higher leverage associates with more efficiency.

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During the summer and fall of 2000, local fair housing organizations in twenty major metropolitan areas nationwide conducted a total of 4,600 paired tests, directly comparing the treatment that African Americans and Hispanics receive to the treatment that whites receive when they visit real estate or rental offices to inquire about available housing. This study, which was sponsored by the U.S. Department of Housing and Urban Development and conducted by the Urban Institute, provides the most complete and up-to-date information available about the persistence of housing market discrimination against African American and Hispanic homeseekers in large urban areas of the United States today and about the progress we have made in combating discrimination over the last decade.

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This chapter provides a detailed discussion of the evidence on housing and mortgage lending discrimination, as well as the potential impacts of such discrimination on minority outcomes like homeownership and neighborhood environment. The paper begins by discussing conceptual issues surrounding empirical analyses of discrimination including explanations for why discrimination takes place, defining different forms of discrimination, and the appropriate interpretation of observed racial and ethnic differences in treatment or outcomes. Next, the paper reviews evidence on housing market discrimination starting with evidence of segregation and price differences in the housing market and followed by direct evidence of discrimination by real estate agents in paired testing studies. Finally, mortgage market discrimination and barriers in access to mortgage credit are discussed. This discussion begins with an assessment of the role credit barriers play in explaining racial and ethnic differences in homeownership and follows with discussions of analyses of underwriting and the price of credit based on administrative and private sector data sources including analyses of the subprime market. The paper concludes that housing discrimination has declined especially in the market for owner-occupied housing and does not appear to play a large role in limiting the neighborhood choices of minority households or the concentration of minorities into central cities. On the other hand, the patterns of racial centralization and lower home ownership rates of African-Americans appear to be related to each other, and lower minority homeownership rates are in part attributable to barriers in the market for mortgage credit. The paper presents considerable evidence of racial and ethnic differences in mortgage underwriting, as well as additional evidence suggesting these differences may be attributable to differential provision of coaching, assistance, and support by loan officers. At this point, innovation in loan products, the shift towards risk based pricing, and growth of the subprime market have not mitigated the role credit barriers play in explaining racial and ethnic differences in homeownership. Further, the growth of the subprime lending industry appears to have segmented the mortgage market in terms of geography leading to increased costs of relying on local/neighborhood sources of mortgage credit and affecting the integrity of many low-income minority neighborhoods through increased foreclosure rates.