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Hedonic Markets and Explicit Demands: Bid-Function Envelopes for Public Services, Neighborhood Amenities, and Commuting Costs Author info | Abstract | Publisher info | Download info | Related research | Statistics John Yinger () (Center for Policy Research, Maxwell School, Syracuse University, Syracuse, NY 13244-1020 )
Hedonic regressions with house value as the dependent vaqriable are widely used to study the value of public services and amenities. This paper builds on the theory of household bidding and sorting to derive a bid function envelope, which provides a form for these regressions. This approach uses a general characterization of household heterogeneity, yields estimates of the price elasticities of demands for services and amenities directly from the hedonic with no need for a Rosen two-step procedure, and provides tests of key hypotheses about household sorting. An application to data from Cleveland in 2000 yields precise estimates of price elasticities for school quality, distance from environmental hazards, and neighborhood ethnic composition. The results support the sorting hypotheses and indicate that household preferences are very heterogeneous, with some households placing a negative value on many "amenities."
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Paper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number
114.
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Length: 71 pages
Date of creation: Mar 2009Date of revision:
Handle: RePEc:max:cprwps:114Contact details of provider: Postal: 426 Eggers Hall, Syracuse, New York USA 13244-1020 Phone: (315) 443-3114 Fax: (315) 443-1081 Email: Web page: http://www-cpr.maxwell.syr.edu More information through EDIRC
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Keywords: Hedonics ; capitalization ; bidding ; sorting ; Other versions of this item:
Find related papers by JEL classification: H73 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Interjurisdictional Differentials and Their Effects R21 - Urban, Rural, and Regional Economics - - Household Analysis - - - Housing Demand
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