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Semiparametric measurement of environmental effects

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dc.contributor.author Rodriguez, Diego en_US
dc.contributor.author Stoker, Thomas M. en_US
dc.contributor.other Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. en_US
dc.date.accessioned 2009-12-15T23:58:45Z
dc.date.available 2009-12-15T23:58:45Z
dc.date.issued 1993 en_US
dc.identifier 93008 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/50192
dc.description.abstract This paper gives the results of a semiparametric analysis of pollution effects on housing prices using the Boston Housing Data. The exposition introduces the basic ideas of modeling pollution impacts with hedonic price methods, discusses the standard log-linear model, and then introduces nonparametric estimation and semiparametric index models. We focus on the intuitive content and substantive results of the semiparametric analysis. We find that the impact of pollution is smaller than that previously estimated, and varies dramatically depending on the status level of the community. We give various interpretations of the findings, and contrast our methods with those used in previous analysis of the Boston Housing Data. en_US
dc.description.sponsorship Supported by the MIT Center for Energy and Environmental Policy Research. en_US
dc.format.extent 29 p., [15] p. of plates en_US
dc.publisher MIT Center for Energy and Environmental Policy Research en_US
dc.relation.ispartofseries MIT-CEEPR (Series) ; 93-008WP. en_US
dc.title Semiparametric measurement of environmental effects en_US
dc.type Working Paper en_US
dc.identifier.oclc 35719600 en_US


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