1{2 "record_id": "de48aa9a311d709ef0a33453d7042001c2e721a6",3 "eligible": true,4 "short_ref": "Fan, Teo & Wan (2021)",5 "country": "Singapore",6 "city": "Bukit Panjang (Singapore)",7 "property_type": "public housing (HDB) resale flats",8 "price_type": "transaction price (log)",9 "n_obs": 893,10 "sample_period": "2010-2018",11 "data_source": "government open data portal (resale transactions); text noise-complaint records scored with SentimentR",12 "methods_compared": [13 "OLS hedonic with lagged noise-sentiment index",14 "IV/DID variants"15 ],16 "best_method": "OLS hedonic with block-level noise sentiment",17 "metric": "R2",18 "best_value": 0.919,19 "hedonic_value": 0.919,20 "test_set": "none",21 "features_ai": "text sentiment",22 "incremental_ai_gain": null,23 "incremental_ai_metric": "",24 "marginal_effects": "coefficients",25 "notes": "Hedonic/causal study, not a prediction contest: dictionary-based sentiment (SentimentR, NLTK-style) of 527 noise complaints builds a block-level noise index; Table 6 log-price regressions on 893 matched resale transactions, R2 0.919 (in-sample, with controls and fixed effects). Coefficient -0.030 (1 scale-point increase in noise sentiment -> about 3% lower price). No specification without the sentiment feature reports fit, so no incremental gain.",26 "confidence": "high"27}