1995
DOI: 10.1006/jhec.1995.1002
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An Economic Theory of Homelessness and Housing

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Cited by 49 publications
(38 citation statements)
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“…14 An additiona l concern that applies to both the Burt and S-night data is that there are large disparitie s across the two data sets concerning the number of shelter beds (or for S-night, the number of people residing in shelters) , despite the fact that the surveys were conducted in the same month and year (O'Flaherty, 1996). This is re ected in our samples.…”
Section: Continuum-of-care Homeless Counts For Californiamentioning
confidence: 93%
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“…14 An additiona l concern that applies to both the Burt and S-night data is that there are large disparitie s across the two data sets concerning the number of shelter beds (or for S-night, the number of people residing in shelters) , despite the fact that the surveys were conducted in the same month and year (O'Flaherty, 1996). This is re ected in our samples.…”
Section: Continuum-of-care Homeless Counts For Californiamentioning
confidence: 93%
“…Although the severity of a city's homeless problem surely affects shelter capacity, other factors may have independent effects on shelter capacity, and these may bias cross-sectional inferences on the determinants of homelessness drawn from these data. For example, O'Flaherty (1996) argues that, if homeless services are normal goods, wealthier cities will allocate more funds for homeless shelters, thus introducing a spurious positive correlation between this measure of homeless and mean household income. Alternatively, wealthier areas may devote fewer resources to homeless shelters (or oppose the opening of shelters through local land-use controls) so as not to attract the users of such services.…”
Section: B the Burt Surveymentioning
confidence: 99%
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“…Arnott, Davidson and Pines (1983) extend the model by introducing the possibility of modernisation and other investments in existing stock. O'Flaherty (1995) uses the filtering model to explain the existence and growth of homelessness. In Germany, the most important publications on the filtering approach are Eekhoff (1987) and Eekhoff (1993).…”
Section: Introductionmentioning
confidence: 99%