The Harvard economist behind the Education Scorecard says the ‘Learning Recession’ is more than a COVID problem—it’s at least a decade old

The Education Scorecard says reading scores are down in 83% of schools and math scores in 70%, with the decline starting around 2013 rather than only during COVID-19. The report highlights smartphone use, reduced accountability under school policy changes, and shifts toward phonics-based reading instruction as key factors. Louisiana was the standout, ranking second for reading growth and the only state to surpass its 2019 reading level.

Analysis

The market implication is less about a one-time pandemic hit and more about a multi-year productivity shock in the future labor pool. If the drag on basic skills predates COVID and is now only partially reversing, the second-order effect is a wider dispersion in human-capital quality by state and district, which should eventually show up in local wage growth, migration, and municipal credit outcomes rather than just education headlines. The beneficiaries are vendors with measurable effectiveness in reading remediation, testing, tutoring, and classroom software; the losers are legacy curriculum and broad-based edtech models that cannot prove lift versus control groups.

The phonics/"science of reading" shift is important because it creates a policy-backed procurement cycle: curriculum adoption, teacher training, screening, and intervention tools become recurring spend, not discretionary pilot budgets. That makes the opportunity more durable than a generic edtech rebound, but it also concentrates risk in vendors exposed to state-level adoption timing; spend can accelerate quickly once a district commits, yet budget approval remains politically fragile in recessionary environments. The math recovery trend suggests that interventions can work, but reading is the harder multiyear gap to close, which favors companies tied to early literacy over middle/high-school platforms.

The contrarian takeaway is that the market may be underestimating how long this takes to monetize. Even if scores stabilize over the next 12-24 months, learning losses translate into weaker college readiness and labor productivity over a much longer horizon, so the equity impact is likely gradual rather than a sharp re-rating. The immediate trade is not broad education beta; it's a barbell between beneficiaries of mandated remediation and shorts in names whose revenue depends on school-seat expansion without demonstrated efficacy.

Key Decisions for Investors

• Long STRA / long GHC optionality for 6-12 months: these names have direct exposure to remediation and adult learning demand if districts and parents keep paying for catch-up; prefer call spreads to cap multiple risk and limit policy downside.
• Long curriculum/assessment beneficiaries in the reading adoption cycle, using SOLE or small-cap education-services proxies where available; size for 12-18 months and focus on states with active phonics mandates and screening requirements.
• Short broad edtech basket versus education-services: pair short an unprofitable classroom-software cohort against a profit-capable remediation/curriculum name; the thesis is that procurement shifts toward measured outcomes, not engagement metrics, over the next 2-4 quarters.
• For a catalyst-driven trade, buy 6-9 month call spreads on companies with state adoption exposure after evidence of district-level reading gains; the risk/reward improves only once curriculum contracts are publicly awarded, not on headline policy announcements.
• If looking for a macro hedge, monitor municipal bonds and school-district credit in low-income states with poor reading outcomes; widening remediation costs can pressure operating budgets over 1-3 years, especially where enrollment is already soft.