We may be looking at the housing affordability crisis all wrong. Higher earners are driving home prices, not lack of supply, researchers say

Researchers from UC Irvine and the San Francisco Fed find that house price growth tracks average income growth closely (one-for-one from 1975–2024) whereas housing supply growth is strongly tied to population growth rather than incomes; nearly all metros saw housing units grow faster than population. Post-2000, home prices outpaced incomes, and from 2000–2020 there was no relationship between incomes and housing supply, implying that higher-end income gains and shifts in labor-market demand—not supply constraints or local regulation—may be the primary drivers of affordability pressures. The authors conclude regulatory reforms alone may have limited impact on affordability and recommend focusing on labor-market and income-distribution dynamics across regions.

Analysis

Market structure: If house prices are driven by top‑end income growth rather than permit constraints, winners are firms exposed to renovation/upgrade spend (Home Depot, Lowe’s), luxury multifamily landlords in coastal/tech MSAs (AVB, EQR, ESS) and high‑end homebuilders; losers are pure-play entry‑level builders and single‑family rental platforms overloaded in weak‑income markets. Expect pricing power concentrated in asset classes exposed to high‑income households; supply growth will follow population inflows, not income, so Sunbelt builders gain scale but face margin competition. Short (weeks–months) reaction likely modest; structural re‑rating occurs over 12–36 months as income distribution shifts embed into rents/NAVs.

Risk assessment: Tail risks include abrupt regulatory intervention (large rent controls or federal tax changes), tech‑sector employment shocks that reverse top‑income growth, and a sharp rate shock that squeezes leveraged REITs or builders. Immediate risks (days–weeks) are data misses (CPI, payrolls) that move rates; medium (3–12 months) is migration pattern reversal; long (1–3 years) is political/regulatory changes in high‑cost states. Hidden dependencies: mortgage credit availability and capital markets funding for builders/REITs; catalysts include quarterly earnings and metro income data (BEA/IRS), CoreLogic price releases, and permit/completion lags.

Trade implications: Favor renovation retailers and coastal multifamily landlords while hedging broad builder exposure; use relative trades to isolate the income‑driven price effect (long AVB/EQR vs short DHI/ITB). Options: buy 3–6 month call spreads on HD/LOW to capture renovation upside and purchase 6–12 month put spreads on XHB or DHI as tail hedges. Time entries around payroll/CPI releases and quarterly earnings; scale over 3–12 months as migration and BEA income prints confirm skewed top‑end growth.

Contrarian angles: Consensus fixes supply via zoning reform; that may be underdone because even added units mostly track population not income. Reaction to zoning wins could be overdone; short‑term celebration of construction starts may be mispriced if income concentration continues to lift prices. Historical parallel: 2000s tech‑led regional booms showed price gains that outlasted supply increases until income/jobs reversed. Unintended consequence: aggressive construction in inflow MSAs can depress entry‑level builder margins while leaving luxury price elasticity intact, amplifying dispersion across names and regions over 12–36 months.

Key Decisions for Investors

• Establish a 2–3% portfolio long in Home Depot (HD) and Lowe’s (LOW) via 3–6 month call spreads (equal weight, sized 1–1.5% each) to capture sustained renovation demand from high‑income households; scale up by +1% if BEA/IRS top‑decile income growth outpaces median by >4 percentage points over 12 months.
• Implement a 3% pair trade: long AvalonBay (AVB) 1.5% and Equity Residential (EQR) 1.5% vs short DR Horton (DHI) 3% notional, 6–12 month horizon, to express rent/NAV resilience in high‑income metros versus entry‑level builder margin pressure as supply responds to population, not income.
• Buy a 6–12 month put spread on XHB (homebuilder ETF) sized 1% notional (e.g., buy ~5% OTM put, sell ~15% OTM put) as a portfolio hedge against a rate shock or sudden reversal in top‑income growth that would depress discretionary housing spend.
• Monitor three leading indicators daily/weekly and act on triggers: (1) IRS county‑to‑county migration and BEA MSA personal income (if migration into an MSA >1% annualized and permits growth <2% then favor builders there), (2) top‑decile vs median wage divergence (if >4pp over 12 months, overweight luxury landlords/renovation names), and (3) CoreLogic/Case‑Shiller price vs local permit completion gaps (if prices outpace completions by >8pp for 6 months, prefer landlords over builders).