Codebase for Repeated Sales Algorithm for Germany
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Updated
Nov 22, 2024 - R
Codebase for Repeated Sales Algorithm for Germany
Pre-print of Rey-Blanco, D., Arbués, P., López, F. A., & Páez, A. (2022). Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets. Environment and Planning B: Urban Analytics and City Science. 23998083231166952
Use of web scraping, text analysis and hedonic regression model for property valuation task.
Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost
Codebase for research paper "The Impact of Germany’s Railroad Noise Protection Act on House Values"
The project focuses on a critical and timely theme: assessing the impact of micromobility infrastructure on property values in London. This study sits at the intersection of urban planning, real estate economics, and sustainable transportation, reflecting a growing interest in how emerging mobility solutions contribute to urban life quality.
Codebase for research paper "Housing Prices, Airport Noise and an Unforseeable Event of Silence"
This repository contains the code and data related to the paper "Earthquake risk embedded in property prices: Evidence from five Japanese cities"
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