Working and Learning in Hard Times: How Economic Downturns Shaped Community College Students' Trajectories

• In Event: What Matters for Majors: Program Choice in Higher Education

Abstract

Community colleges (CCs) enroll nearly half of all U.S. undergraduates, serving students who are disproportionately low-income, work while enrolled, and embedded in local labor markets. This local embeddedness – as commuter institutions serving geographically bound populations – means CC students are uniquely exposed to regional economic conditions in ways that can reshape both their educational trajectories and employment patterns simultaneously. Yet despite extensive evidence that aggregate CC enrollment rises during recessions, we lack causal evidence on how local employment downturns affect individual students’ enrollment persistence, career and technical education (CTE) program choices, work patterns while enrolled, and subsequent post-college outcomes. Existing research on student employment further treats work intensity as a static characteristic rather than examining how external economic shocks reshape work itself. These gaps limit policymakers’ ability to design effective supports for the 14 million working learners navigating economic volatility nationally.

This study examines how local employment downturns during the Great Recession (2008-2009) shaped CC students’ education and employment trajectories, leveraging regional variation in recession severity. Using comprehensive administrative data linking individual student records with local economic indicators in Minnesota, this study addresses two questions: (1) How do employment downturns affect students’ enrollment persistence, work behaviors while enrolled, program choices, and post-college outcomes? (2) How do downturn-induced changes in work hours affect credential completion and early-career earnings?

To answer these questions, this study employs a difference-in-differences design, comparing students across regions experiencing different levels of economic decline. To isolate the causal effect of recession exposure from other local factors, the analysis constructs predicted employment shocks based on each county’s pre-recession industry composition combined with national industry trends (i.e., Bartik shift-share instrument). RQ1 estimates reduced-form effects of these shocks on the full range of outcomes. RQ2 then uses the predicted shocks as an instrumental variable for student work hours, isolating the causal effect of downturn-induced changes in work intensity on longer-term outcomes within a two-stage least squares framework. Heterogeneous effects across student sociodemographic characteristics and institutional contexts reveal how different student populations adjust to local economic disruptions.

Preliminary findings for RQ1 suggest recession exposure affects both enrollment and employment behaviors. Greater local employment decline leads to reduced overall persistence and enrollment intensity and modest changes in work behaviors during enrollment. Students in harder-hit counties shift toward CTE programs, potentially seeking credentials with stronger labor market returns. Effects appear to vary across student populations: enrollment patterns differ by financial aid status and first-generation status, while work intensity effects concentrate among adult students with prior work experience. Ongoing analyses continue to refine these estimates and extend to post-college outcomes and the RQ2 instrumental variables analysis.

As states and localities continue to experience varied economic conditions, understanding how regional economic contexts shape student outcomes can inform differentiated policy responses for open-access institutions serving economically vulnerable populations. This study contributes to the literature on student employment, recession effects in higher education, and the role of community colleges as countercyclical institutions, while offering methodological guidance on addressing the endogeneity of work behavior in causal designs.

Author

• Chenjun Yu, University of Michigan
  Presenting Author