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Spatial Hedonics and the Willingness to Pay for Residential Amenities

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  • Kenneth A. Small

    ()
    (Department of Economics, University of California-Irvine)

  • Seiji Steimetz

    ()
    (Department of Economics, California State University-Long Beach)

Abstract

Housing rents may be influenced by characteristics of nearby properties, an effect captured by spatial autoregression in a hedonic rent equation. We investigate the implications of spatial autoregression for measuring the marginal welfare effects due to a change in a residential amenity such as air quality. We show that if spatial price interdependence arises from technological spillovers, such that utility depends directly on neighboring property values, then the welfare change is given by the reduced form of the autoregressive model, effectively applying a "spatial multiplier" to the relevant implicit price. If instead spatial interdependence arises from merely pecuniary spillovers, as is commonly supposed in motivating spatial autoregression, then no spatial multiplier on implicit prices is called for in computing welfare; but it is then especially important to use the autoregressive model to measure those implicit prices.

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Bibliographic Info

Paper provided by University of California-Irvine, Department of Economics in its series Working Papers with number 050631.

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Length: 17 pages
Date of creation: Jun 2006
Date of revision: Feb 2007
Handle: RePEc:irv:wpaper:050631

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Keywords: Spatial autocorrelation; spatial lag; welfare; willingness to pay; hedonic price function;

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References

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  1. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
  2. Timothy J. Bartik, 2008. "Measuring the Benefits of Amenity Improvements in Hedonic Price Models," Book chapters authored by Upjohn Institute researchers, in: Joseph Herriges & Catherine L. Kling (ed.), Revealed Preference Approaches to Environmental Valuation, volume 0, pages 53-64 W.E. Upjohn Institute for Employment Research.
  3. Small, Kenneth A, 1975. "Air Pollution and Property Values: Further Comment," The Review of Economics and Statistics, MIT Press, vol. 57(1), pages 105-07, February.
  4. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
  5. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
  6. Dubin, Robin A, 1988. "Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 466-74, August.
  7. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
  8. Smith, V Kerry & Huang, Ju-Chin, 1995. "Can Markets Value Air Quality? A Meta-analysis of Hedonic Property Value Models," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 209-27, February.
  9. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July.
  10. Myrick Freeman, A. III, 1974. "On estimating air pollution control benefits from land value studies," Journal of Environmental Economics and Management, Elsevier, vol. 1(1), pages 74-83, May.
  11. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
  12. Polinsky, A Mitchell, 1972. "Probabilistic Compensation Criteria," The Quarterly Journal of Economics, MIT Press, vol. 86(3), pages 407-25, August.
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Citations

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Cited by:
  1. Henrik Andersson & Lina Jonsson & Mikael Ögren, 2010. "Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 45(1), pages 73-89, January.
  2. Swärdh, Jan-Erik & Andersson, Henrik & Jonsson, Lina & Ögren, Mikael, 2012. "Estimating non-marginal willingness to pay for railway noise abatement: application of the two-step hedonic regression technique," Working papers in Transport Economics 2012:27, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  3. Price, James I. & McCollum, Daniel W. & Berrens, Robert P., 2010. "Insect infestation and residential property values: A hedonic analysis of the mountain pine beetle epidemic," Forest Policy and Economics, Elsevier, vol. 12(6), pages 415-422, July.
  4. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.
  5. Hansen, Winslow D. & Naughton, Helen T., 2013. "The effects of a spruce bark beetle outbreak and wildfires on property values in the wildland–urban interface of south-central Alaska, USA," Ecological Economics, Elsevier, vol. 96(C), pages 141-154.
  6. Jan Rouwendal & Willemijn Weijschede- v.d. Straaten, 2008. "The costs and benefits of providing open space in cities," CPB Discussion Paper 98, CPB Netherlands Bureau for Economic Policy Analysis.

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