Labor Economics
Applied Econometrics
Economics of Education
Public Economics
Intermediate Macroeconomics (Calculus-Based)
Principal of Economics
Microeconomics
Revise and resubmit (2nd round), Journal of Policy Analysis and Management
Abstract: Using a natural experiment which randomized class times to students, this study reveals that enrolling in early morning classes lowers students' course grades and the likelihood of future STEM course enrollment. There is a 29% reduction in pursuing the major within the same college and a 21% rise in choosing a low-earning major, predominantly influenced by early morning STEM classes. To understand the mechanism, I conducted a survey of undergraduate students enrolled in an introductory course, some of whom were assigned to a 7:30 AM section. I find evidence of a decrease in human capital accumulation and learning quality for early morning sections.
Presented: APPAM Fall 2024 Conference, AEFP 2023, MEA 2022, SEA 2022, Economics Graduate Students’ Conference 2022 (Washington University in St. Louis), Indiana Academy of the Social Sciences’ Annual Meeting 2022, Brigham Young University, Lafayette College, Purdue University
Under Review
Abstract: What happens when college students cannot enroll in the courses they want? Using conditional random assignment to oversubscribed courses at a large public university, we find that a course shutout reduces the probability that a student ever takes any course in the corresponding subject by 30%. Course shutouts are particularly disruptive for female students, reducing women's cumulative GPAs, probability of majoring in STEM, on-time graduation, and early-career earnings. In contrast, shutouts do not appear to be disruptive to male students' long-run outcomes with one exception—shutouts significantly increase the probability that men choose a major from the business school.
Presented: ASSA 2025 Annual Meeting, SEA 2024, NBER Education Meeting Spring 2023, APPAM Fall 2023 Conference, Utah Applied Economics Conference 2023, Federal Reserve Bank of New York, Purdue University, Utah State University
Media coverage: Forbes, Inside Higher Ed
Abstract: Estimating post-secondary instructors’ value-added is challenging because college students select their courses and instructors. In the absence of value-added measures, universities use subjective student evaluations to make personnel decisions. In this paper, we develop a method to estimate instructor value-added at any university. The method groups students who have previously taken similar courses and estimates valueadded based on differences in outcomes for students in the same group and same course who have different instructors. Using a unique policy at a large public university in Indiana, we show that our method account for selection just as well as methods that exploit conditional random assignment of students to courses. We next show that our method reduces forecast bias in a wider variety of institutions using data from nearly all public universities in Texas. We find that individual instructors matter for students’ future grades and post-college earnings in many subjects and courses. On average, moving to a 1 standard deviation better instructor would increase a student’s next semester GPA by 0.13 points, and earnings six years after college entry by 17%. Strikingly, value-added is only weakly correlated with student evaluations. An instructor retention policy based on value-added would result in 2.7% higher earnings for students attending Texas universities.
Media coverage: Marginal Revolution
Abstract: Most high-earnings college majors, such as nursing, have meritocratic admissions standards. In this paper, we use a regression discontinuity design to investigate the effects of being admitted to one of these programs: The Bachelor of Science in Nursing (BSN) major at Brigham Young University (BYU). Admission into the program has large effects, including increasing the probability of becoming a licensed nurse by 34 percentage points, and decreasing college dropout by more than 10 percentage points. Because those who are not accepted enroll in majors that have significantly lower expected earnings than nursing, admission into the program increases expected lifetime earnings by more than $1,250,000.
Abstract: We examine how declining state appropriations affect the allocation of instructional resources at public universities and the downstream consequences for student outcomes. Leveraging a novel, student-level administrative dataset from Texas public universities linked to course-taking, academic performance, and post-graduation earnings, we estimate how institutions respond to budget shocks along key margins—course offerings, faculty composition, class sizes, and departmental resource distribution. Using a shift-share instrumental variables strategy adapted from Deming and Walters (2018), we isolate exogenous variation in institutional funding exposure. We then connect institutional responses to student outcomes, including academic achievement, graduation, major-switching, and labor market returns. Unlike prior work, our data allow us to identify how these effects vary across racial and socioeconomic lines, offering new evidence on whether institutional supply responses to public disinvestment mitigate or exacerbate existing inequalities in higher education. This research informs debates on higher education finance, access, and the role of public institutions in promoting economic mobility.
Abstract: We investigate how variation in grading practices across college disciplines may influence students’ academic trajectories and labor market outcomes. We examine the relationship between grading patterns and students’ major selection using administrative data from Purdue University, where students are quasi-randomly assigned to course sections. Building on Denning et al. (2022), who show that rising grades have contributed significantly to increased college completion rates, we extend this analysis to explore how differences in average grades across fields might shape students’ perceptions of academic fit. Our preliminary analysis confirms that average grades tend to be higher in non-STEM courses than in STEM courses, consistent with prior evidence of heterogeneity in grading standards. We hypothesize that such disparities may influence students’ course-taking behavior and major choice, potentially leading them away from quantitatively rigorous but higher-earning fields. These findings have meaningful implications for higher education policy: if grading norms distort students’ academic decisions, institutions may wish to promote greater transparency around grading distributions or strengthen advising practices to help students interpret early academic signals in a broader context. Doing so could support more informed decision-making and help align students’ educational paths with their long-term goals.
Abstract: This project examines how the gender and race of college instructors influence students’ academic and early labor market outcomes, including test scores, course selection, major choice, and starting salaries. Using a natural experiment at Purdue University, where freshmen are quasi-randomly assigned to course sections, we implement an instrumental variables approach to estimate the causal effects of demographic matching between students and instructors. Our analysis draws on data from over 9,000 freshman students enrolled between 2018 and 2020, combining detailed course registration requests with registrar records on academic performance and demographic characteristics. We focus on whether assignment to an instructor of the same gender or race affects students’ academic trajectories, particularly in STEM fields. By exploiting institutional features that limit student self-selection into sections, our research design addresses common identification challenges in prior work. The results will contribute to a deeper understanding of how instructor characteristics shape student outcomes in higher education.
Abstract: The State Foster System Statute Portal is a robust, state-by-state database of foster care statutes designed to support professionals across the foster care ecosystem. Serving social workers, policymakers, lawyers, and researchers, the portal offers comprehensive access to legal and regulatory frameworks, enabling users to analyze, compare, and interpret foster care policies nationwide. By facilitating in-depth policy analysis and promoting data-driven decision-making, the portal holds the potential to inform best practices and drive systemic improvements. Ultimately, this resource aims to enhance transparency, foster collaboration, and contribute to better outcomes for children in foster care.
* denotes undergraduate student coauthor
Instructor Positions
Undergraduate: ECON 381 - Intermediate Macroeconomics (Calculus-Based), Fall 2023 - Present (Brigham Young University)
Undergraduate: ECON 25100 - Microeconomics, Summer 2021 and Summer 2022 (Purdue)
Undergraduate: ECON 21000 - Principles of Economics, Summer 2020 (Purdue)
Teaching Assistant Positions
PhD: ECON 65000 - Applied Microeconometrics with Kevin J. Mumford, Fall 2021 and Fall 2022 (Purdue)
Undergraduate: ECON 38500 - Labor Economics with Miguel A. Sarzosa, Fall 2020 (Purdue)
Undergraduate: ECON 36200 - Health Economics with Timothy J. Moore, Summer 2019 (Purdue)
Undergraduate: ECON 36000 - Econometrics with Victoria Prowse, Spring 2021 (Purdue)
Undergraduate: ECON 34000 - Intermediate Microeconomic Theory with Andres J. Vargas, Fall 2018 (Purdue)
Undergraduate: ECON 25200 - Macroeconomics with Andres J. Vargas, Fall, 2018 and Spring 2019 (Purdue)
Undergraduate: ECON 21000 - Principles of Economics with Ben Van Kammen, Fall 2018 (Purdue)
Undergraduate: ECON 110 - Economics Principles and Problems with C. Arden Pope III, Fall 2015 (Brigham Young University)
Phone: 801-494-4884
Email: anthony_yim@byu.edu
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