プロジェクト情報（概要） / Project information (abstract)
基本情報 / Basic Informations
- 研究題目
Research Title 不動産市場における因果効果の推定：ダブルマシンラーニング手法の応用
Estimating Causal Effects in Real Estate Markets: A Double Machine Learning Approach
- 状態
Status -
実施中
Started
- 研究番号
Research Number - 1497
- 研究代表者
PI - ム トウエン / 東京大学経済学研究科
- 事務担当者
Secretary - ム トウエン / 東京大学経済学研究科
- 受入CSIS教員
CSIS reception staff 栗栖 大輔
Daisuke KURISU
- 研究内容
Abstract Recent developments in Japan’s housing market, together with evolving policy measures, have significantly influenced real estate dynamics at both macro and micro levels. Yet, limited empirical research examines how policy interventions, market heterogeneity, and high-dimensional housing attributes jointly affect transaction outcomes across different urban settings. This study will integrate transaction-level real estate data with detailed location, structural, and temporal covariates to analyze variations in housing prices, rental levels, and transaction activity. To rigorously identify causal effects, the research applies Double Machine Learning (DML), which combines machine learning–based nuisance estimation with econometric theory to address confounding in high-dimensional environments. Comparisons with traditional OLS and matching approaches will also be conducted. The requested data will be used solely for academic research in my master’s thesis, stored securely on university-approved platforms, and will not involve or disclose any personal identifiers.
- 研究期間
Research Period - 2025-12-08 - 2026-03-31
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研究者 / Researchers
申請中の研究者は表示されません。 / Pending researchers are not shown.
ム トウエン / 東京大学経済学研究科
研究成果 / Achievement
年次報告一覧 / Annual reports 必須
年次報告の内容はメンバーのみ表示されます。