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A mixed index approach to identifying hedonic price models

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  • Brasington, David M.
  • Hite, Diane

Abstract

Recent literature suggests identifying house price hedonic regressions by using instrumental variables, spatial statistics, the borders approach, panel data, and other techniques. We present an empirical application of a mixed index model, first proposed by Bowden [Bowden, R.J., 1992. Competitive selection and market data: the mixed-index problem. The Review of Economic Studies 59(3):625-633.] to identify hedonic price regressions. We compare the performance of the mixed index model to a traditional hedonic model and to a hedonic model that includes characteristics of the buyer of each house. We find the mixed index model outperforms the other models based on bootstrap distributions of predicted housing values, prediction variance, and predicted policy effects. The mixed index model distributions are less skewed and kurtotic than the other models, suggesting it more closely satisfies the classical linear regression assumption of normally distributed errors. Compared to the mixed index model, the traditional hedonic overstates the importance of lot size and school quality to house price and understates the importance of environmental quality.

Suggested Citation

  • Brasington, David M. & Hite, Diane, 2008. "A mixed index approach to identifying hedonic price models," Regional Science and Urban Economics, Elsevier, vol. 38(3), pages 271-284, May.
  • Handle: RePEc:eee:regeco:v:38:y:2008:i:3:p:271-284
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    Cited by:

    1. David M. Brasington & Diane Hite & Andres Jauregui, 2015. "House Price Impacts Of Racial, Income, Education, And Age Neighborhood Segregation," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 442-467, June.
    2. Víctor Iturra & Dusan Paredes, 2014. "Construction of a Spatial Housing Price Index by Estimating an Almost Ideal Demand System," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(3), pages 301-314, July.
    3. Christafore, David & Leguizamon, Susane, 2012. "The influence of gay and lesbian coupled households on house prices in conservative and liberal neighborhoods," Journal of Urban Economics, Elsevier, vol. 71(2), pages 258-267.
    4. John I. Carruthers & David E. Clark, 2010. "Valuing Environmental Quality: A Space-Based Strategy," Journal of Regional Science, Wiley Blackwell, vol. 50(4), pages 801-832.
    5. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    6. James LeSage & Joni Charles, 2008. "Using home buyers’ revealed preferences to define the urban–rural fringe," Journal of Geographical Systems, Springer, vol. 10(1), pages 1-21, March.
    7. Xia Feng & Brad R. Humphreys, 2008. "Assessing the Economic Impact of Sports Facilities on Residential Property Values: A Spatial Hedonic Approach," Working Papers 0812, International Association of Sports Economists;North American Association of Sports Economists.
    8. John Yinger, 2009. "Hedonic Markets and Explicit Demands: Bid-Function Envelopes for Public Services, Neighborhood Amenities, and Commuting Costs," Center for Policy Research Working Papers 114, Center for Policy Research, Maxwell School, Syracuse University.
    9. repec:bla:presci:v:96:y:2017:i:3:p:537-553 is not listed on IDEAS
    10. Yusep Suparman & Henk Folmer & Johan H.L. Oud, 2016. "The willingness to pay for in-house piped water in urban and rural Indonesia," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 407-426, June.
    11. Víctor Iturra & Dusan Paredes, 2011. "Construction of a Spatial Housing Price Index by Estimating an Almost Ideal Demand System," Documentos de Trabajo en Economia y Ciencia Regional 11, Universidad Catolica del Norte, Chile, Department of Economics, revised May 2011.

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