Cassandra Merritt

I am a Ph.D. candidate with the Department of Economics at University of California, Davis. 

As a labor economist with a focus in the economics of education -- my primary interests are oriented around the role of more granular educational units (e.g. courses) in human capital formation, the efficacy of schools & education-related interventions, and the changing landscape of work and labor markets. 

My education-oriented projects leverage rich restricted-use administrative datasets that I developed expertise with as team member of the California Education Lab. I have contributed to policy briefs related to college & career readiness and secondary math curricula.  I also research the nature and determinants of changing work in the US around the turn of the 21st century based on the changing universe of job titles cataloged by government statistical agencies over time. 

Prior to UC Davis, I served as a field economist for the Bureau of Labor Statistics. I previously earned a master’s degree in economics from the University of Edinburgh and a bachelor’s degree in mathematical business economics from Hofstra University. 

I am a candidate in the 2024-25 economics job market, and I expect to graduate from UC Davis by Spring 2025. Please find my CV here and check out my work below.

Working Papers

Charting a New Course:
How Adding Math Course Offerings Adds to Human Capital 

(Job Market Paper)

Abstract: The roll-out of newly developed 12th grade mathematics courses across California high schools provides an opportunity to evaluate an alternative curricular intervention aimed at raising math attainment. With the state census of secondary course records from 2014 to 2019, I exploit the externally driven implementation of "Advanced Innovation Math" courses as a source of exogenous variation in course offerings to identify the intervention’s intended effect on math attainment and implications for overall curricular quality. An event-study reveals students exposed to a new course are 5 percentage points more likely to take math in 12th grade and null effects on 4-year university enrollment and persistence into a second year. A conceptual model shows that this persistence result can suggest more learning across the 12th grade math curriculum for college-goers. These effects are not coincident with detected changes in the composition of the student body or school staff, average class sizes, or attainment of other subjects. The math attainment and postsecondary effects are stable across demographically and academically based subgroups. 

Measuring and Predicting "New Work" in the United States: 
The Role of Local Factors and Global Shocks

(Co-Authored with Gueyon Kim & Giovanni Peri)

Abstract: The evolution of work is of emerging importance to advanced economies' growth. In this study, we develop a new semantic-distance-based algorithm to identify "new work," namely the new types of jobs introduced in the US. We characterize how "new work" relates to task content of jobs and skill characteristics of workers and document its geographic distribution and association with employment growth. Then, we analyze whether local factors associated in the previous literature with agglomeration economies and productivity growth as well as local exposures to global shocks---technology, trade, immigration, and population aging---predict the creation of "new work." We find local supply of college educated in 1980 as the strongest predictor of "new work." Using the historical location of 4-year colleges, a strong instrument for local college share, we find a positive and significant causal effect of local supply of human capital on "new work." 

NBER Working Paper
Russell Sage Foundation Grant (Future of Work, June 2023)

Works in Progress

The Impact of Data Integrated Guidance Between California Public High Schools and Colleges

Abstract: The road to college has many hurdles, and the journey is an unravelling mystery for each traveller -- the right information could be crucial for post-secondary matriculation. The California College Guidance Initiative (CCGI) started rolling out data-driven guidance tools across many California school districts and charter networks from 2013 to present, and now serves as the basis for the state's Cradle-to-Career Data System initiative. A key feature of CCGI tools is integration between local school IT systems, the UC Office of the President's approved A-G course database, and California universities' application systems. California universities' admission requirements include completion of a validated A-G curriculum -- a complexity CCGI serves to alleviate. Using California Department of Education student-level K-12 data, the intent-to-treat effect of CCGI's information treatment is measured via an "event study"-esque specification. Results show weak statistically significant evidence of a 5 percentage point increase in A-G curriculum completion if the tools are available over a student's full high school tenure.

Other Publications

Kim, G., Merritt, C., & Peri G. (2024, August). The geography and determinants of 'new work' in the United States [Column].CEPR, VoxEU.orgcepr.org/voxeu/columns/geography-and-determinants-new-work-united-states 

Reed, S., Hurtt, A., Kurlaender, M., Luu, J., & Merritt, C. (2023, July). Inequality in academic preparation for college [Report]. Policy Analysis for California Education. https://edpolicyinca.org/sites/default/files/2023-07/r_reed-july2023.pdf

Reed, S., Bracco, K. R., Kurlaender, M., & Merritt, C. (2023, February). Innovating high school math courses through K–12 and higher education partnerships [Report]. Policy Analysis for California Education. https://edpolicyinca.org/publications/innovating-high-school-math-courses-through-k12higher-education-partnership 

Reed, S., Merritt, C., & Kurlaender, M. (2022, December). 12th-grade math: An updated look at high school math course-taking in California [Infographic]. Policy Analysis for California Education. https://edpolicyinca.org/publications/12th-grade-math