Density estimation using bootstrap quantile variance and quantile-mean covariance
With Gabriel Montes-Rojas · Communications in Statistics – Simulation and Computation, 52(4), 1449–1461, 2023. Published online in 2021.
Econometrics · Causal inference · Experimentation
Andres Mena
I am a PhD economist with expertise in causal inference and econometrics. I develop statistical solutions to inform large-scale decision-making.
As a member of Amazon’s Prime Economics team, I develop causal inference tools and economic models to shape business decisions impacting over 200 million customers worldwide. Previously, I worked on pricing at Microsoft and supply-chain experimentation, customer analytics, and infrastructure investment at Amazon.
I also co-founded LAPDE, a public policy laboratory at the Universidad Nacional de Tucumán connecting applied research with equitable economic development.
Causal Inference for Business Decisions
- 01
Business Problem
Among many possible actions, which is best for my business?
- 02
Run an Experiment
Use science to understand the effect of each possible action.
- 03
Learn the Best Action
Use causal evidence to align actions with business goals.
- 04
Make Informed Decisions
Business decisions grounded in scientific evidence.
01 / Research
Econometric methods.
Working papers
- Doubly Robust LATE for Ratio Estimands
- Distributional Policy Learning via Influence Functions
- Synthetic Control Estimation Under Sign and Shape Constraints
- Double Debiased Machine Learning for Difference-in-Differences under Imperfect Compliance
- High Wage Collective Bargaining Units: The Effect of Unions on Firm Pay
Publications
COVID-19 a nivel local: SEIR+ un modelo para proyectar escenarios epidemiológicos y demandas hacia el sistema sanitario
With Alejandro Danón and Andrés Ramasco · Ensayos de Política Económica, 3(3), 1–24, 2021.
Doctoral dissertation · Brown UniversityEssays in Econometrics for Causal Inference
02 / Teaching
Courses and materials
Lecturer
Causal Inference Using Machine Learning
Universidad Nacional de Tucumán · Graduate course · 2024
Course materialsMacroeconomics I
Universidad Nacional de Tucumán · Undergraduate course · 2020
Teaching Assistant
Applied Econometrics I
Brown University · PhD · Toru Kitagawa · Fall 2023–Fall 2025
Applied Econometrics II
Brown University · PhD · Peter Hull · Spring 2024
Theory of Market Design
Brown University · Undergraduate · Bobby Pakzad-Hurson · Fall 2022
Macroeconomics for Business
Universidad de San Andrés · MBA · José Fanelli · 2018–2019
03 / Software
Code and packages
Code and public packages for empirical work.
My public repositories are available on GitHub.
Explore repositories04 / Media
Media and Other Interests
Podcast interview: The Insider’s Guide
The World of Causal Inference — Listen to the full episode
Conversations with high school students on how to use causal inference to inform business decisions.
Excerpt from a LinkedIn post by Aahan Rathod .