Portrait of Aubrey Jolex

Aubrey Jolex

Applied economics researcher working across field research, empirical analysis, and data systems.

I study household welfare, food prices, and labor markets in low- and middle-income countries, while building tools that make field research more rigorous, reproducible, and easier to implement.

Selected research

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My research broadly examines how households and markets respond to economic constraints, with work spanning labor markets, food prices, agriculture, and the methods used to measure these outcomes.

  1. 2026

    The Overeducation Trap: Household Wealth and Education-Occupation Mismatch Among College Graduates in the Philippines

    Aubrey JolexEducation Economics

    A 48.6 percentage point mismatch gap separates graduates from the poorest and richest income deciles, using FIES-LFS data on 198,343 employed graduates (2009-2023).

    48.6 pp

    mismatch gap

  2. 2026

    Does home food production insure against food price shocks? Evidence from matched subsistence and market households in the Philippines

    Aubrey Jolex, Mariel Antoinette FelizardoCogent Economics & Finance

    Market households show a price elasticity of -0.36, while matched subsistence households show near-zero elasticity (+0.05).

    0.41

    elasticity difference

  3. 2024

    A New Approach to Monitoring Farmer Prices: Method and an Application to Malawi

    Bob Baulch, Seng Kiong Kok, Aubrey JolexThe Journal of Development Studies

    Develops and tests a crowdsourcing approach to farmer price monitoring using radio jingles, a toll-free call centre, and incentives for price reports.

  4. 2026

    Code in the Machine: Can Large Language Models Reproduce Econometric Analyses?

    Aubrey JolexWorking Paper WP2026_07

    Tests where LLM-assisted econometric replication succeeds, where it fails, and where human judgment is still essential.

    Presented at the World Bank and CEGA Measuring Development Conference 2026

Research tools and infrastructure

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Some of the problems I encounter in research lead me to build tools: software and infrastructure for experiment design, data quality, reproducibility, and field implementation.

Experiment design

RCT Toolkit

Plan trials, run power and sample-size calculations, and generate reproducible random assignments.

Analysis and reproducibility

AESDK

An open-source toolkit that adds methodological checks and audit trails to AI-assisted econometrics.

Field implementation

ISMS Platform

Survey management and tracking infrastructure for field coordination and data quality.

Interested in similar questions or approaches? I’m always happy to connect with researchers working on applied economics, field research, data systems, or reproducible empirical methods.

Get in touch