2018
DOI: 10.1257/pol.20150176
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How Do Changes in Housing Voucher Design Affect Rent and Neighborhood Quality?

Abstract: US housing voucher holders pay their landlord a fraction of household income and the government pays the rest, up to a rent ceiling. We study how two types of changes to the rent ceiling affect landlords and tenants. A policy that makes vouchers more generous across a metro area benefits landlords through increased rents, with minimal impact on neighborhood and unit quality. A second policy that indexes rent ceilings to neighborhood rents leads voucher holders to move into higher quality neighborhoods with low… Show more

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Cited by 53 publications
(35 citation statements)
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“…Relative to historical norms, newly moving voucher tenants tend to move into higher-rent neighborhoods in Northwest DC rather than cheaper neighborhoods in Southeast and Northeast DC. Similar to the results of Collinson and Ganong (2018) for Dallas, we find that paying more in high-rent neighborhoods can facilitate moves to opportunity. Similar to efforts in other cities, DC's expansion of neighborhood-based voucher payments shows promise for encouraging moves to opportunity in the short run, allowing our investigation to shed light on how landlords respond to such a change.…”
Section: Small Area Fair Market Rents In Washington DCsupporting
confidence: 79%
See 1 more Smart Citation
“…Relative to historical norms, newly moving voucher tenants tend to move into higher-rent neighborhoods in Northwest DC rather than cheaper neighborhoods in Southeast and Northeast DC. Similar to the results of Collinson and Ganong (2018) for Dallas, we find that paying more in high-rent neighborhoods can facilitate moves to opportunity. Similar to efforts in other cities, DC's expansion of neighborhood-based voucher payments shows promise for encouraging moves to opportunity in the short run, allowing our investigation to shed light on how landlords respond to such a change.…”
Section: Small Area Fair Market Rents In Washington DCsupporting
confidence: 79%
“…More positively, paying landlords higher rent in expensive neighborhoods can encourage opportunity moves (Collinson and Ganong, 2018). Perhaps most promising, a combined intervention of paying higher rent, intensive counseling for tenants, flexible support for landlords, and short-term financial assistance showed success in Baltimore (DeLuca and Rosenblatt, 2017) and King County, WA (Bergman et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…After the policy change, the rate of voucher tenants moving in equalizes. Overall, these results are quite similar to those of Collinson and Ganong (2018), who find that the adoption of SAMFR limits in Dallas led to improvements in neighborhood quality for voucher households that move.…”
supporting
confidence: 82%
“…Changes in neighborhood quality were much smaller for Section 8 movers than for MTO movers, and variation by site was large. Since only about a quarter of eligible households are currently able to obtain a Section 8 housing voucher (Sard and Fischer (2012)), an area for future research is understanding what changes in voucher policy might optimize the extent to which households are able to realize positive neighborhood effects through the subsidy, and which of these policies might be feasible to implement (McClure (2010), Collinson and Ganong (2018)).…”
Section: Resultsmentioning
confidence: 99%
“…While this limited mobility does restrict the evidence provided by MTO about neighborhood effects (Wilson (1987)), we think this mobility provides clear evidence for policy. Providing access to opportunity neighborhoods will require trying more interventions, whether that means making subsidies tied to smaller geographic areas (Collinson and Ganong (2018)), supporting landlords with capital-needs financing and program streamlining (Galvez et al (2010)), or experimenting with other models of assistance to make voucher tenants more attractive to landlords (Phillips (2017)) and to increase supply (Geyer and Sieg (2013)).…”
Section: Introductionmentioning
confidence: 99%