Efficiency-Based Housing Allocation: Leveraging DEA with CCR Model for Enhanced Decision-Making in Real Estate

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This study applies Data Envelopment Analysis (DEA) using the Charnes, Cooper and Rhodes (CCR) model to live housing data, clustering houses by price range and constructing an efficiency frontier graph. Within each cluster, the method identifies “optimal housing allocations” and quantifies the relative efficiency of housing options to enable more nuanced comparisons. A key stated caveat is that the work is presented as a preprint and has not been peer reviewed by a journal. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract In an innovative approach to traditional house searches, this study leverages Data Envelopment Analysis (DEA) with the Charnes, Cooper and Rhodes (CCR) model. Live Housing data from a diverse pool of houses is analyzed, clustering them based on price ranges. By constructing an efficiency frontier graph, the study identifies optimal housing allocations within each cluster. This method not only refines the house search process but also quantifies the efficiency of houses, enabling a nuanced comparison. The application of DEA provides a robust framework for evaluating housing options, offering a data-driven solution to enhance decision-making in the real estate market.
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This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4296655/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 5 You are reading this latest preprint version Abstract In an innovative approach to traditional house searches, this study leverages Data Envelopment Analysis (DEA) with the Charnes, Cooper and Rhodes (CCR) model. Live Housing data from a diverse pool of houses is analyzed, clustering them based on price ranges. By constructing an efficiency frontier graph, the study identifies optimal housing allocations within each cluster. This method not only refines the house search process but also quantifies the efficiency of houses, enabling a nuanced comparison. The application of DEA provides a robust framework for evaluating housing options, offering a data-driven solution to enhance decision-making in the real estate market. Data Envelopment Analysis (DEA) Charnes Cooper and Rhodes (CCR) Efficiency Frontier Graph optimal housing allocations Full Text Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Major revisions 28 Jul, 2024 Reviewers agreed at journal 28 Jun, 2024 Reviewers invited by journal 28 Jun, 2024 Editor invited by journal 20 Apr, 2024 First submitted to journal 20 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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