10 resultados para Housing

em University of Connecticut - USA


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A central purpose of this chapter is to assess whether the available empirical evidence supports the view that current levels of housing discrimination are a significant contributor to residential segregation in U.S. cities and metropolitan areas. Through the course of this chapter, the reader will find that the empirical patterns of racial segregation in the U.S. are often inconsistent the available evidence on housing discrimination. Admittedly, strong evidence exists that both housing discrimination exists today and that housing discrimination throughout much of the Twentieth Century was central to creating the high levels of segregation that we observe in U.S. metropolitan areas today, but the appropriate policy responses may differ dramatically depending upon how these two phenomena are currently interrelated.

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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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We examine the time-series relationship between housing prices in eight Southern California metropolitan statistical areas (MSAs). First, we perform cointegration tests of the housing price indexes for the MSAs, finding seven cointegrating vectors. Thus, the evidence suggests that one common trend links the housing prices in these eight MSAs, a purchasing power parity finding for the housing prices in Southern California. Second, we perform temporal Granger causality tests revealing intertwined temporal relationships. The Santa Anna MSA leads the pack in temporally causing housing prices in six of the other seven MSAs, excluding only the San Luis Obispo MSA. The Oxnard MSA experienced the largest number of temporal effects from other MSAs, six of the seven, excluding only Los Angeles. The Santa Barbara MSA proved the most isolated in that it temporally caused housing prices in only two other MSAs (Los Angels and Oxnard) and housing prices in the Santa Anna MSA temporally caused prices in Santa Barbara. Third, we calculate out-of-sample forecasts in each MSA, using various vector autoregressive (VAR) and vector error-correction (VEC) models, as well as Bayesian, spatial, and causality versions of these models with various priors. Different specifications provide superior forecasts in the different MSAs. Finally, we consider the ability of theses time-series models to provide accurate out-of-sample predictions of turning points in housing prices that occurred in 2006:Q4. Recursive forecasts, where the sample is updated each quarter, provide reasonably good forecasts of turning points.

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This paper examines the relationship between house price levels, school performance, and the racial and ethnic composition of Connecticut school districts between 1995 and 2000. A panel of Connecticut school districts over both time and labor market areas is used to estimate a simultaneous equations model describing the determinants of these variables. Specifically, school district changes in price level, school performance, and racial and ethnic compositions depend upon each other, labor market wide changes in these variables, and the deviation of each school district from the overall metropolitan area. The specification is based on the differencing of dependent variables, as opposed to the use of level or fixed effects models and lagging level variables beyond the period over which change is considered; as a result the model is robust to persistence in the sample. Identification of the simultaneous system arises from the presence of multiple labor market areas in the sample, and the assumption that labor market changes in a variable due not directly influence the allocation of households across towns within a labor market area. We find that towns in labor markets that experience an inflow of minority households have greater increases in percent minority if those towns already ahve a substantial minoritypopulation. We find evidence that this sorting proces is reflected in housing price changes in the low priced segment of the housing market, not in the middle and upper segments.

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For over 75 years housing cooperatives have been a source of affordable housing. Currently, the 376,000 dwelling units of affordable cooperatives is equivalent to seventeen percent of the rent reduction units owned by publichousing authorities. Understanding that affordable cooperatives have been developed under varying historical circumstances provides insights on how they could play a role in the future supply of affordable housing. The history of affordable co-ops starts during the 1920s and after World War II with the ethnic, union, and New York government financed co-ops. Through the 1960s and the early 1970s cooperatives were financed by various federal direct assistance programs. Since the late 1970s co-ops have been sponsored by nonprofit organizations and by federal and municipal government privatization programs. A workable institutional structure for affordable cooperatives has developed as a result of this historical evolution.

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Using paired testing data from the 1989 and 2000 Housing Discrimination Studies (HDS) and data on fair housing enforcement activities during the 1990s in the corresponding metro areas, we investigate whether 1989-2000 changes in the metropolitan incidence of racial/ethnic discrimination correlate with fair housing enforcement activity during the 1990s. We found that higher amounts of state and local enforcement activity supported by HUD through its FHIP and FHAP programs (especially the amount of dollars awarded by the courts) were consistently associated with greater declines in discrimination against black apartment-seekers and home-seekers. The evidence does not support similar conclusions for housing market discrimination against Hispanics where the level of enforcement is much lower.

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This report documents the results of a an 11-city paired testing study by the Department of Housing and Urban Development of housing discrimination against Asian- Americans and Pacific Islanders. The study shows that one out of every five Asians and Pacific Islanders attempting to buy or rent a home are discriminated against, a rate similar to that of African Americans and Hispanics.

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The Housing Discrimination Study 2000 (HDS 2000) is the third nationwide effort sponsored by HUD to measure the amount of discrimination faced by minority home seekers. This report provides national estimates of discrimination faced by African Americans and Hispanics in 2000 as they searched for housing in the sales and rental markets. It also provides an accurate measure of how housing discrimination has changed since 1989. The report shows large decreases between 1989 and 2000 in the level of discrimination experienced by Hispanics and African Americans seeking to a buy a home. There are, however, worrisome upward trends of discrimination in the areas of geographic steering in home sales for African Americans and the amount of help agents provide to Hispanics with obtaining financing. There has also been a modest decrease in discrimination toward African Americans seeking to rent a unit. This downward trend, however, has not been seen for Hispanic renters. Hispanic renters now are more likely to experience discrimination in their housing search than do African American renters.

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We examine the impact of seller's Property Condition Disclosure Law on the residential real estate values. A disclosure law may address the information asymmetry in housing transactions shifting of risk from buyers and brokers to the sellers and raising housing prices as a result. We combine propensity score techniques from the treatment effects literature with a traditional event study approach. We assemble a unique set of economic and institutional attributes for a quarterly panel of 291 US Metropolitan Statistical Areas (MSAs) and 50 US States spanning 21 years from 1984 to 2004 is used to exploit the MSA level variation in house prices. The study finds that the average seller may be able to fetch a higher price (about three to four percent) for the house if she furnishes a state-mandated seller.s property condition disclosure statement to the buyer. When we compare the results from parametric and semi-parametric event analyses, we find that the semi-parametric or the propensity score analysis generals moderately larger estimated effects of the law on housing prices.

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This paper documents the results of a pilot paired testing program to examine the treatment of Native Americans by real estate agents in rental housing markets in three states and owner-occupied housing markets in one state. The study finds that the level of discrimination experienced by Native Americans in rental markets exceed those experienced by Hispanics, Blacks, and Asian-Americans.