---
title: Machine Learning for Housing Prices
url: https://www.ml-quant.com/papers/repec/eme-ijhmap-ijhma-02-2022-0033/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eme:ijhmap:ijhma-02-2022-0033
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FIJHMA-02-2022-0033%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aijhmap%3Aijhma-02-2022-0033
featured: 2023-08-17
citations: unknown
topic: ML & AI Methods
---


# Machine Learning for Housing Prices

Housing price trends can be accurately predicted by machine learning algorithms considering land use-transportation interactions, physical conditions, and socio-economic factors.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FIJHMA-02-2022-0033%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aijhmap%3Aijhma-02-2022-0033
- Identifier: RePEc:eme:ijhmap:ijhma-02-2022-0033
- Released: 2022-04-14
- First featured: Quant Letter No. 12 (2023-08-17): https://www.ml-quant.com/issues/2023-08-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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