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Urban land valuation with bundled good and land residual assumptions

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  • Clapp, John M.
  • Lindenthal, Thies

Abstract

This paper develops a new approach to estimate the value of urban land. We extend AMM theory by adding the assumption of partial irreversibility. Bundled goods assumptions imply that land value with a structure can evolve differently than as-if vacant value, even in the first decades of structure life. We develop a hybrid model that nests bundled goods with land residual methods and we develop a new test of predictive accuracy. Granular house price indices produced by machine learning are used to estimate hybrid economic structure and land values.

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  • Clapp, John M. & Lindenthal, Thies, 2022. "Urban land valuation with bundled good and land residual assumptions," Journal of Housing Economics, Elsevier, vol. 58(PA).
    • Handle: RePEc:eee:jhouse:v:58:y:2022:i:pa:s1051137722000444
    DOI: 10.1016/j.jhe.2022.101872
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    More about this item

    Keywords

    Land valuation; Property valuation; CAMA; Machine learning;
    All these keywords.

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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