 When warm and cold don’t mix: The implications of climate for the determinants of homelessnessKevin Corinth and David S. Lucas Journal of Housing Economics, 2018, vol. 41, issue C, 45-56 Abstract: It is widely understood that climate affects the spatial distribution of homelessness—warm places have on average higher rates of unsheltered homelessness than cold places. A less recognized fact is that variation in rates of unsheltered homelessness is higher in warm places as well. We document this fact using quantile regression techniques and show that it has important implications for estimating the determinants of homelessness across communities. In particular, housing prices, poverty rates and religiosity are much more strongly associated with rates of unsheltered homelessness in warm places than in cold places. As an alternative to splitting the sample, we find that logarithmic transformations of rates of unsheltered homelessness can be reliably used in a pooled sample. Associations between total homelessness and important covariates also vary across warm and cold places, in this case in terms of both rates and logarithms. Ultimately, future research should carefully account for climate when estimating the determinants of homelessness. Keywords: Homelessness; Climate; Measurement; Religion (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jhouse:v:41:y:2018:i:c:p:45-56 DOI: 10.1016/j.jhe.2018.01.001 Access Statistics for this article Journal of Housing Economics is currently edited by H. O. Pollakowski More articles in Journal of Housing Economics from Elsevier |
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