The problem of identifying land use spillovers: Measuring the effects of open space on residential property values
The problem of identifying land use spillovers: Measuring the effects of open space on residential property values
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DOI:
10.1111/0002-9092.00193
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发表时间:
2001-08-01
影响因子:
4.2
通讯作者:
Bockstael, NE
中科院分区:
文献类型:
--
作者:
Irwin, EG;Bockstael, NE
Open space is often cited as a primary attractor of urban and suburban residents to exurban areas located just beyond the metropolitan fringe. Included in the rural amenities afforded by open space are scenic views, recreational opportunities, and an absence of the disamenities associated with development, such as traffic congestion and air pollution. Several willingness-to-pay studies have demonstrated the positive amenity value of open space (Halstead; Beasley, Workman, and Williams), but evidence of the value of open space from revealed preference methods--namely, from hedonic models--is limited and mixed. In this article, we consider the issue of estimating open space spillovers using a hedonic pricing model with residential property sales and offer an explanation for why the positive amenity value of open space effects, even if it exists, may not always be empirically detected. The estimation problems that we consider are ones of identification, which arise in a hedonic residential price model when the open space land is privately held and devel-opable. 1 Under these circumstances, land parcels counted as open space are part of the market for residential land and there-fore subject to the same economic forces that determine a location's residential value. Two identification problems arise as a result. The first is the standard type of econometric identification problem due to endogenous explanatory variables. The problem arises in testing whether the residential value of parcel i is affected by whether a neighboring parcel j is developed. The likelihood that parcel j is developed is a function of its value in residential use, which is itself a function of whether i is developed. The second problem arises because the factors that cause parcels to be more or less valuable in residential use are spatially correlated. If any of these spatially correlated explanatory variables are omitted from the estimation, then any variable measuring surrounding open space will be corre-lated with the error term. In both instances, biased coefficient estimates will result.Although we focus specifically on open space in this article, identification of land use spillovers is a broader issue within hedonic modeling that applies to any measure of land use externalities in which the particular land use being measured is influenced by the residential housing market. The identifi-cation issues that arise are variants of the" reflection problem" and the problem of" cor-related unobservables" discussed in the liter-ature on agent interaction models (Manski; Brock and Durlauf). 2 This problem has not been, to our knowledge, addressed in the