---
title: Accounting for Spatial Autocorrelation in Hedonic Models
url: https://www.ml-quant.com/papers/repec/kap-jrefec-v-68-y-2024-i-2-d-10-1007-s11146-022-09915-y/
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:kap:jrefec:v:68:y:2024:i:2:d:10.1007_s11146-022-09915-y
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs11146-022-09915-y%3Bh%3Drepec%3Akap%3Ajrefec%3Av%3A68%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s11146-022-09915-y
featured: 2024-02-14
citations: unknown
topic: Other
---


# Accounting for Spatial Autocorrelation in Hedonic Models

The study proposes a spatial cross-validation strategy to correct bias in tree-based algorithms caused by spatial autocorrelation in real estate data, improving accuracy in mass appraisal and investment decisions.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs11146-022-09915-y%3Bh%3Drepec%3Akap%3Ajrefec%3Av%3A68%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s11146-022-09915-y
- Identifier: RePEc:kap:jrefec:v:68:y:2024:i:2:d:10.1007_s11146-022-09915-y
- Released: 2024-02-14
- First featured: Quant Letter No. 37 (2024-02-14): https://www.ml-quant.com/issues/2024-02-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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