Semiparametric measurement of environmental effects
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 nonparametr...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Working Paper |
| Published: |
MIT Center for Energy and Environmental Policy Research
2009
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| Online Access: | http://hdl.handle.net/1721.1/50192 |
| _version_ | 1826207852280152064 |
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| author | Rodriguez, Diego Stoker, Thomas M. |
| author2 | Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. |
| author_facet | Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. Rodriguez, Diego Stoker, Thomas M. |
| author_sort | Rodriguez, Diego |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:55:58Z |
| format | Working Paper |
| id | mit-1721.1/50192 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:55:58Z |
| publishDate | 2009 |
| publisher | MIT Center for Energy and Environmental Policy Research |
| record_format | dspace |
| spelling | mit-1721.1/501922019-04-11T05:55:37Z Semiparametric measurement of environmental effects Rodriguez, Diego Stoker, Thomas M. Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. 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. Supported by the MIT Center for Energy and Environmental Policy Research. 2009-12-15T23:58:45Z 2009-12-15T23:58:45Z 1993 Working Paper 93008 http://hdl.handle.net/1721.1/50192 35719600 MIT-CEEPR (Series) ; 93-008WP. 29 p., [15] p. of plates application/pdf MIT Center for Energy and Environmental Policy Research |
| spellingShingle | Rodriguez, Diego Stoker, Thomas M. Semiparametric measurement of environmental effects |
| title | Semiparametric measurement of environmental effects |
| title_full | Semiparametric measurement of environmental effects |
| title_fullStr | Semiparametric measurement of environmental effects |
| title_full_unstemmed | Semiparametric measurement of environmental effects |
| title_short | Semiparametric measurement of environmental effects |
| title_sort | semiparametric measurement of environmental effects |
| url | http://hdl.handle.net/1721.1/50192 |
| work_keys_str_mv | AT rodriguezdiego semiparametricmeasurementofenvironmentaleffects AT stokerthomasm semiparametricmeasurementofenvironmentaleffects |