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Daniel Newbill

stacklist.com/daniel-newbill

26 years selling Hawaii real estate. Windward Oahu specialist: 28 Kailua and 6 Kuilima transactions, four oceanfront sales, Certified Luxury Home Marketing Specialist. I help sellers with hard-to-price, inherited and life-transition properties across Kailua, Lanikai, Hawaii Kai and the North Shore.

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Do Automated Valuation Models Reinforce Disparities? (Urban Institute)

This study provides the first individual-level evidence of AVM valuation errors, finding that Black homeowners in Atlanta and Memphis face errors 3.4 percentage points higher and undervaluation of about 5 percent compared to white homeowners. The research offers an empirical framework for identifying algorithmic bias and recommends policy actions to improve transparency, data quality, and fairness in automated home valuation systems.

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Summary

This study provides the first individual-level evidence of AVM valuation errors, finding that Black homeowners in Atlanta and Memphis face errors 3.4 percentage points higher and undervaluation of about 5 percent compared to white homeowners. The research offers an empirical framework for identifying algorithmic bias and recommends policy actions to improve transparency, data quality, and fairness in automated home valuation systems.

Tags

algorithmic-bias · automated-valuation · racial-equity · housing-finance · mortgage-lending · avm · home-valuation

Key entities

Automated Valuation Models (AVMs) (technology, 1) · fully Bayesian Improved Surname Geocoding (fBISG) (technology, 0.95) · Atlanta (location, 0.98) · Memphis (location, 0.98) · Housing Finance Policy Center (organization, 0.92) · Algorithmic Bias (concept, 0.97) · Racial Equity (concept, 0.97) · Home Undervaluation (concept, 0.93) · Racial Equity Analytics Lab (organization, 0.88)

Classification

analysis · language en · status final

Provenance

claude-sonnet-4-6 via @stacklist/mcp-server@2.0.0, confidence 0.85, 8 Sep 2026