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Methodologies for Estimating Housing Subsidy Benefits

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  • Michael P. Murray

    (University of Virginia, Charlottesville)

Abstract

The traditional subsidy program benefit measurement techniques for a composite commodity ("housing services") model are reviewed and extended for use in the increasingly popular hedonic price framework in which housing is decomposed into a vector of characteristics, Since recent work has suggested that observed hedonic prices may not reflect market phenomena, a generalized approach is suggested which uses housing characteristics but is free of hedonic prices.

Suggested Citation

  • Michael P. Murray, 1978. "Methodologies for Estimating Housing Subsidy Benefits," Public Finance Review, , vol. 6(2), pages 161-192, April.
    • Handle: RePEc:sae:pubfin:v:6:y:1978:i:2:p:161-192
    DOI: 10.1177/109114217800600202
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    References listed on IDEAS

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    Cited by:

    1. Lok Sang Ho, 1988. "Towards an Optimal Public Housing Policy," Urban Studies, Urban Studies Journal Limited, vol. 25(3), pages 204-211, June.
    2. Rodger Barros Antunes Campos, 2016. "The Socioeconomic Impacts of Low Income Housing Programs in São Paulo State, Brazil," Working Papers, Department of Economics 2016_21, University of São Paulo (FEA-USP).
    3. Brian A. Cromwell, 1990. "Prointegrative subsidies and their effect on housing markets: do race- based loans work?," Working Papers (Old Series) 9018, Federal Reserve Bank of Cleveland.
    4. Rodger Campos & Joaquim Guilhoto, 2016. "The socioeconomic impacts of low income housing programs in São Paulo state, Brazil," ERSA conference papers ersa16p700, European Regional Science Association.

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