Background: Early Colleges (ECs) are a type of rapidly growing dual enrollment program proven to be successful in helping underrepresented students get a jumpstart on their postsecondary education. To date, the most rigorous evidence on the impact of ECs has come from two lottery-based natural experiments conducted by the SERVE Center (Edmunds et al., 2020) and American Institutes for Research (AIR) (Song et al., 2021), respectively. Both studies found a positive impact of ECs on a variety of student outcomes both during and after high school. Song and colleagues (2021), for example, found that students who won EC admission lotteries had significantly higher rates of college enrollment and degree attainment within 6 years of expected high school graduation than control students. Building on the original AIR EC impact study, this follow-up study assesses the longer-term impact of ECs on participants' workforce and life outcomes with data collected up to 14 years after expected high school graduation. Purpose and Research Questions: This study is intended to expand the existing evidence base on ECs by addressing the following research questions (RQs) about the longer-term impact of ECs--(1) What is the impact of ECs on workforce and other life and financial outcomes 12-14 years after expected high school graduation? and (2) Does the impact of ECs vary by participant background characteristics? Setting: The original AIR EC impact study included 10 ECs located across five states (North Carolina, Ohio, South Carolina, Texas, and Utah) that met certain selection criteria. This follow-up study focuses on seven ECs in four states, excluding three ECs from North Carolina because we did not have student identifying information needed to administer a follow-up survey to participants from those schools. All seven schools were relatively small high schools (i.e., fewer than 150 students per grade), with four schools in urban areas, two in mid-sized cities, and one in a small town. Participants: In total, 2,115 students (875 treatment and 1,240 control) participated in 19 admissions lotteries conducted between 2005-06 and 2007-08 by the seven ECs included in this study. Of those students, about 77% were non-White, and 59% were low-income. Analyses for workforce and other life outcomes will be based on 969 study participants (473 treatment and 496 control) who provided data on these outcomes through a follow-up survey. The EC Program: Led by the Bill & Melinda Gates foundation, the EC High School Initiative began in 2002 with the goal of increasing the opportunity to earn a postsecondary credential for students who are traditionally underrepresented in higher education (see Figure 1). To achieve this goal, ECs partner with colleges and universities to offer students an opportunity to earn an associate degree or up to 2 years of college credits during high school at no or low cost to their families. ECs also provide a rigorous and supportive high school environment to help students navigate and succeed in college coursework. These supports are essential for achieving ECs' mission of improving the educational outcomes of students who are traditionally underrepresented, who may struggle academically, or whose parents did not attend college. Research Design: This study is a multisite natural experiment with student-level random assignment based on admission lotteries conducted by ECs. Data Collection and Analysis: To assess the longer-term impact of ECs, we administered a follow-up survey to study participants between September 2022 and March 2023 that captured data on workforce and other life outcomes such as college debt, employment status, income, job satisfaction, and home ownership. The survey instrument was reviewed by an independent technical advisory group comprised of experts in ECs; survey methodology; and diversity, equity, and inclusion. The survey instrument was also piloted by volunteers with diverse background characteristics. The response rate of the follow-up survey was 48.2% (55.4% for treatment students and 40.2% for control students), which is noteworthy given the unusually long timeline for the follow-up survey (15-17 years after the initial admission lotteries). For all our statistical analyses, we will apply survey weights to address missing data and minimize potential bias due to nonresponse (McCaffrey et. al., 2013). To answer RQ1, we will conduct intent-to-treat (ITT) analyses to estimate the impact of winning an EC admissions lottery on each given outcomes, regardless of whether the student actually enrolled in the EC. To estimate the overall ITT effects across lotteries, we will construct a two-level model that accounts for the clustering of students within lotteries. The treatment indicator will be group-mean centered at the student level to make sure the comparisons of EC students and control students are made within rather than across lotteries and thus produce unbiased estimates. To answer RQ2, we will estimate the different impact of ECs by incorporating an interaction between treatment status and a given student characteristic into the student-level equation of the two-level ITT model. We will explore whether the EC impact differed significantly by students' gender, minority status, low-income status, and eighth-grade mathematics and English language arts achievement. Findings: We will begin to analyze follow-up survey data in May 2023, and findings will be ready before the 2023 SREE conference. Conclusions: Few studies have followed study participants from high school through young adulthood to assess the longer-term impact of education programs on students' workforce and other life/financial outcomes. Despite its limitations (e.g., limited generalizability), this study will fill in a critical gap in the evidence base about the longer-term impact of ECs by following the participants in a natural experiment for as many as 14 years after expected high school graduation. To strengthen the evidence base on this promising program, further research on ECs is needed that assesses the impact of ECs for more recent cohorts in more diverse settings and explores conditions that facilitate or hinders the success of ECs.