{"record_id": "8d5f6b09f9058fc5a131a22d58a856d18ce849c7", "eligible": true, "short_ref": "Shen & Ross (2020)", "country": "United States", "city": "Atlanta, GA (MLS metropolitan market area)", "property_type": "single-family homes", "price_type": "transaction (sale) price", "n_obs": 40851,
 "sample_period": "2010-2017", "data_source": "Multiple Listing Service (MLS) sales with property descriptions", "methods_compared": ["OLS hedonic", "OLS hedonic + text-derived uniqueness score", "repeat-sales", "repeat-sales + uniqueness score"],
 "best_method": "OLS hedonic + text-derived uniqueness score", "metric": "R2", "best_value": 0.769, "hedonic_value": 0.760,
 "test_set": "none", "features_ai": "listing text embeddings",
 "incremental_ai_gain": 0.009, "incremental_ai_metric": "R2", "marginal_effects": "coefficients", "notes": "Inferential hedonic study, not a predictive horse race: a doc2vec-style word-embedding uniqueness score of the MLS property description is added to a conventional hedonic (and a repeat-sales) model. In-sample R-squared rises from 0.760 to 0.769 in the hedonic model (Table 3) and from 0.956 to 0.958 in the repeat-sales model (n = 7,317); one SD of uniqueness = +14.9% sale price. No holdout evaluation; R2 as fraction.", "confidence": "high"}