---
title: US House Price Dynamics
url: https://www.ml-quant.com/papers/repec/bla-reesec-v-52-y-2024-i-2-p-434-485/
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:bla:reesec:v:52:y:2024:i:2:p:434-485
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2F1540-6229.12453%3Bh%3Drepec%3Abla%3Areesec%3Av%3A52%3Ay%3A2024%3Ai%3A2%3Ap%3A434-485
featured: 2024-04-10
citations: unknown
topic: Asset Pricing & Factors
---


# US House Price Dynamics

The article presents a new estimator that includes cross-sectional heterogeneity and dependency in machine learning, greatly enhancing the prediction of house prices and detection of housing market bubbles.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2F1540-6229.12453%3Bh%3Drepec%3Abla%3Areesec%3Av%3A52%3Ay%3A2024%3Ai%3A2%3Ap%3A434-485
- Identifier: RePEc:bla:reesec:v:52:y:2024:i:2:p:434-485
- Released: 2024-04-10
- First featured: Quant Letter No. 44 (2024-04-10): https://www.ml-quant.com/issues/2024-04-10/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Asset Pricing & Factors

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