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Investing in Counselors, Expanding Opportunity: Evidence on Counselor-to-Student Ratios and College Outcomes

Thursday, November 5, 3:30 to 5:00pm, Property: Boston Marriott Copley Place, Room: Tufts

Abstract

At a time of declining federal investment in college access supports and growing complexity in financial aid and admissions processes, school counselors are increasingly central to students’ transition from high school to postsecondary education. Yet counselor capacity remains severely constrained and unevenly distributed, with many schools—particularly those serving low-income and racially marginalized students—lacking adequate access to counseling resources. In response, states have adopted counselor-to-student ratio policies intended to expand counseling capacity, but rigorous evidence on their effectiveness, mechanisms, and distributional impacts remains limited.First, we estimate the impact of increased counselor capacity on student outcomes, including college application behavior, indicators of readiness (e.g., test-taking), college enrollment, persistence, and graduation. Second, we examine mechanisms by analyzing how counselor effort—captured through unique administrative measures such as recommendation submissions, fee waiver requests, and other application support activities—responds to reduced caseloads. Third, we assess the equity implications of these policies, with a focus on heterogeneous effects for low-income, first-generation, and racially marginalized students. Finally, we explore how policy design features—such as whether ratios are mandated or recommended and whether they are funded—moderate policy effectiveness.This paper provides the first multi-state causal analysis of counselor-to-student ratio policies on students’ college access and success. Leveraging a novel dataset that links high school counselor staffing data from the Civil Rights Data Collection with administrative data from the Common Application, we examine how variation in state ratio thresholds affects counselor staffing and, in turn, student outcomes. We employ a fuzzy regression discontinuity design that exploits enrollment-based policy thresholds to estimate the causal impact of reduced counselor caseloads.This study contributes to public policy and management scholarship by providing actionable evidence on a widely adopted but under-evaluated policy lever. By identifying when and how investments in counselor capacity translate into improved student outcomes, the findings have direct implications for state education policy, school district staffing decisions, and the design of college admissions processes. More broadly, the paper speaks to how public sector capacity and policy design shape equitable access to opportunity in complex administrative systems.

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