Mass appraisal as affordable public policy: Open data and machine learning for mapping urban land values

Juan Carranza, Mario Andrés Piumetto, Carlos María Lucca and Everton Da Silva

Land Use Policy, 2022, vol. 119, issue C

Abstract: Updated cadastral land values are a matter of critical importance for local governments: higher revenue of property taxes, more equitable treatment to taxpayers, a fundamental input in the design of public policies related to access to land and housing for the most vulnerable and a key feature in land value capture strategies to finance public infrastructure, to name just a few public policies that require correct valuations of land. However, in Latin America, outdated cadastral values are common to most cities. The reasons for this can be found in the complexity of the mass appraisal process, lack of institutional and fiscal capacity to undertake it and bureaucratic resistance to its implementation.

Keywords: Machine learning; Open data; Mass appraisal; Urban land value (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:119:y:2022:i:c:s0264837722002381

DOI: 10.1016/j.landusepol.2022.106211

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