Economist Specializing in Data-Driven Analysis and Advanced Econometrics

I hold a Ph.D. in Public Policy from The University of Chicago, with expertise in advanced econometrics, data science, and industrial organization. I provide economic impact assessments, cost-benefit analyses, and financial modeling to guide decision-making in complex regulatory and market environments. My work includes developing econometric models and machine learning tools that inform business strategy, regulatory policy, and resource allocation.

In addition to my Ph.D., I hold an M.Sc. in Computational Analysis and Public Policy from The University of Chicago and an M.Sc. in Financial Economics from the Catholic University of Chile. I’m particularly interested in applying my skills to industrial organization and market analysis in the private sector.

If you're interested in talking about my work, or yours, get in touch! You can reach me at diego.escobar.salce@gmail.com


Research

Teaching (TA)


The University of Chicago. 2018 - Present

Econometrics III (x4, Harris PhD.) - Prof. Koichiro Ito
Econometrics I (Harris PhD.) - Prof. Ariel Roginsky
Microeconomics II (x3, Harris PhD.) - Prof. Damon Jones
Microeconomics I (Harris PhD.) - Prof. Scott Ashworth
Statistics (x6, Chicago Booth MBA) - Prof. Christian Hansen
Machine Learning (Harris MPP) - Prof. Guillaume Pouliot

PUC Chile 2012 - 2015

Financial Economics (M.A.)
Empirical Methods for Finance (x2, M.A.)
Development Economics (M.A.)
Intermediate Microeconomics (B.A)
Intermediate Macroeconomics (B.A)
Introductory Economics (B.A)