Historical development of residential segregation and black housing quality in Dade County

This paper examines the relationship between the historical development of residential segregation in Black areas of Dade County and the level of housing quality in those areas. Previous literature studies the effect of hypersegregation on housing quality. Instead, this paper analyzes the nature of each Black community and the social process by which they became segregated in contrast with only hypersegregation being considered. Data were drawn from the 1990 Census of Housing and Population at the block group level for Dade County. Two indicators for housing quality were considered: crowding and rent. Six categories for Black areas in Dade County and one residual category were developed for the analysis. Regression's results show that the effect of each community on housing quality varies. For example, overcrowding goes down in first-ghetto areas when compared to second-ghetto areas, although the percentage of Blacks in both communities is about the same. ^

Household Preferences for Financing Hurricane Risk Mitigation: A Survey Based Empirical Analysis

After a series of major storms over the last 20 years, the state of financing for U.S. natural disaster insurance has undergone substantial disruptions causing many federal and state backed programs against residential property damage to become severally underfunded. In order to regain actuarial soundness, policy makers have proposed a shift to a system that reflects risk-based pricing for property insurance. We examine survey responses from 1394 single-family homeowners in the state of Florida for support of several natural disaster mitigation policy reforms. Utilizing a partial proportional odds model we test for effects of location, risk perception, socio-economic and housing characteristics on support for policy reforms. Our findings suggest residents across the state, not just risk-prone homeowners, support the current subsidized model. We also examine several other policy questions from the survey to verify our initial results. Finally, the implications of our findings are discussed to provide inputs to policymakers.