About Me

I'm a senior at the College of William & Mary completing a B.S. in Mathematics with a second major in Economics, graduating in 2027 with a 3.90 GPA. My coursework includes honors real analysis alongside substantial applied and pure mathematics.

My work is largely in applied econometrics: panel and time-series models, structural break testing, and simulation. Last spring I worked on questions in trade, industrial organization, and public finance at the Council of Economic Advisers; this past summer I was in the Metrics group at The Brattle Group in Washington, DC.

Outside of that I love to read, bake, and play board games!

Portrait of Ethan Robertson

Experience

  • The Brattle Group

    Metrics Group · Washington, DC · Summer 2026

    Economic consulting in the Metrics group, supporting quantitative analysis on client matters.

  • Council of Economic Advisers

    Washington, DC · Spring 2026

    Research spanning trade, industrial organization, and public finance.

  • AidData, William & Mary

    Research Assistant, China Development Finance Program

    Extracted and validated West African and Chinese financial data in R.

Research

  • Empirically Assessing the Effect of the Arrival of New Technology on Incumbent Upgrades in the Fixed Broadband Market

    Submitted to TPRC 2026 · Draft of September 2026

    Yong Paek, Yongjoon Park, Ellie Price, Ethan Robertson, and Paroma Sanyal

    Whether an incumbent cable operator is more likely to undertake a discrete network upgrade when fiber and fixed-wireless rivals enter, and whether that response depends on the entrant's technology and on the local market. Using eight semiannual vintages of the FCC's Broadband Data Collection (June 2022–December 2025), we observe whether Comcast reports symmetric-gigabit service (a proxy for DOCSIS 4.0) across 13,499 census tracts in six states. Rival exposure is measured at Comcast's own serviceable locations and held fixed before DOCSIS 4.0 capability first appears; each state is estimated separately with tract and county-by-vintage fixed effects.

My Skills

My methods work is in applied econometrics: panel and time-series models, count models, structural break testing, and local projections. I work primarily in R and Python, using Stata occasionally for panel data, and write in LaTeX. Applied work has included factor-sensitivity estimation, trade-elasticity and industry-concordance construction, and simulation-based forecasting.

I run my own research infrastructure: a self-hosted OpenMediaVault server with a Docker stack that includes RStudio Server and a containerized LaTeX environment, networked over Tailscale with ACLs and subnet routing and exposed selectively through Cloudflare Tunnels. My analysis environment and writing toolchain are versioned and reproducible rather than living on my laptop.

French: fluent, DELF B2. I studied in Strasbourg and wrote bilingual equity research at ACE Finance et Conseil.

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