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Using machine learning to value property in Kigali, Rwanda

Bachofer, Felix and Bower, Jonathan and Braun, Andreas and Brimble, Paul and McSharry, Patrick (2019) Using machine learning to value property in Kigali, Rwanda. 20th World Bank Conference on Land and Poverty, 25.-29.-03.2019, Washington DC, USA. DOI: 10.13140/RG.2.2.14403.45609

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This paper develops two property valuation models for Kigali, Rwanda, and tests them on a unique dataset combining remote sensing data for buildings in Kigali, with sales transaction data for 2015. This paper credits and builds on a similar paper by Deininger et al (2018) but also covers both the built up area of Kigali and the whole of Kigali Province, it addresses temporal prediction issues beyond 2015, it employs an expanded set of variables, and it uses machine learning techniques to employ Maximum Relevance Minimum Redundancy to select the model that best predicts property price data using Ordinary Least Squares. The model in this paper is intended as a prototype of a Computer Assisted Mass Appraisal system for Kigali that could be used to calculate the revenue potential of a new property tax introduced in Rwanda in 2019, and to help detect under-declaration of property values for tax purposes.

Item URL in elib:https://elib.dlr.de/127203/
Document Type:Conference or Workshop Item (Speech)
Title:Using machine learning to value property in Kigali, Rwanda
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bachofer, FelixFelix.Bachofer (at) dlr.dehttps://orcid.org/0000-0001-6181-0187
Bower, JonathanInternational Growth Center (IGC)UNSPECIFIED
Braun, Andreasan.braun (at) uni-tuebingen.deUNSPECIFIED
Brimble, PaulMinistry of Finance and Economic Planning, RwandaUNSPECIFIED
McSharry, PatrickCarnegie Mellon University (CMU)UNSPECIFIED
Date:26 March 2019
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.13140/RG.2.2.14403.45609
Keywords:Land valuation, remote sensing
Event Title:20th World Bank Conference on Land and Poverty
Event Location:Washington DC, USA
Event Type:international Conference
Event Dates:25.-29.-03.2019
Organizer:World Bank
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Bachofer, Dr. Felix
Deposited On:29 Apr 2019 10:38
Last Modified:31 Jul 2019 20:25

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