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Housing demand and neighborhood choice with housing vouchers

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  • Geyer, Judy

Abstract

This paper presents a new model of household choice of neighborhood and housing consumption, and uses it to predict the effects of alternative housing voucher policies on the choices of voucher recipients and their levels of wellbeing. The model is estimated using household level data from housing voucher recipients in Pittsburgh, aggregate data on unsubsidized households, and a large dataset of neighborhood characteristics including crime rates, school quality, racial composition, and housing prices. Using the estimated model, this study predicts effects of a variety of interesting reforms of the housing voucher program, namely, a more generous voucher subsidy, subsidy amounts that vary with census tract housing prices instead of metropolitan area prices, subsidies that are proportional to the market rent of the specific units, and a requirement that voucher recipients live in a census tract where the poverty rate is less than 30% .

Suggested Citation

  • Geyer, Judy, 2017. "Housing demand and neighborhood choice with housing vouchers," Journal of Urban Economics, Elsevier, vol. 99(C), pages 48-61.
    • Handle: RePEc:eee:juecon:v:99:y:2017:i:c:p:48-61
    DOI: 10.1016/j.jue.2016.12.002
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    Cited by:

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    2. Aliprantis, Dionissi & Martin, Hal & Phillips, David, 2022. "Landlords and access to opportunity," Journal of Urban Economics, Elsevier, vol. 129(C).
    3. Eerola, Essi & Saarimaa, Tuukka, 2018. "Delivering affordable housing and neighborhood quality: A comparison of place- and tenant-based programs," Journal of Housing Economics, Elsevier, vol. 42(C), pages 44-54.
    4. Carr, Jillian B. & Koppa, Vijetha, 2020. "Housing Vouchers, Income Shocks and Crime: Evidence from a Lottery," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 475-493.
    5. Yang Wang & Kangmin Wu & Jing Qin & Changjian Wang & Hong’ou Zhang, 2020. "Examining Spatial Heterogeneity Effects of Landscape and Environment on the Residential Location Choice of the Highly Educated Population in Guangzhou, China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    6. Kim, Jun Sung & Patacchini, Eleonora & Picard, Pierre M. & Zenou, Yves, 2017. "Urban Interactions," Working Paper Series 1192, Research Institute of Industrial Economics.
    7. Jeremy Gabe & Spenser Robinson & Andrew Sanderford, 2022. "Willingness to Pay for Attributes of Location Efficiency," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 384-418, October.

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