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Juan Estrada
Juan Estrada

Juan Estrada

Associate | Ph.D. in Economics

Analysis Group


I am an Associate at Analysis Group, where I conduct economic and econometric analyses across a wide range of cases, including intellectual property, finance, and policy evaluation.

I have five years of experience in developing academic research projects that combine economic modeling, econometric methods, and innovative datasets. My recent projects focus on analyzing the legislative and voting behavior of U.S. Congress members. The research develops new approaches to causally identify social interaction effects in congressional behavior using observational political network data.

In econometrics, my research centers on creating novel methods to understand the causal impact of social or professional connections on people’s outcomes using non-experimental data. For instance, I’ve explored the effect of having friends or study partners with better grades on secondary school students, the impact of more productive colleagues or coauthors on researchers’ productivity, and the consequences of cosponsors or members of the same committee voting in favor or against more extreme topics for U.S. members of Congress.

  • Econometrics of Networks
  • Causal Inference
  • Applied Microeconomics
  • American Politics
  • Ph.D. in Economics, 2022

    Emory University

  • M.Sc. in Economics, 2020

    Emory University

  • M.Sc. in Economics, 2016

    Universidad EAFIT

  • B.Sc. in Economics, 2014

    Universidad EAFIT


(2020). Survival analysis of bank note circulation: Fitness, network structure, and machine learning. Advances in Econometrics, (42), pp. 235-262, edited by Áureo de Paula, Elie Tamer, and Marcel Voia. Emerald Group Publishing.

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Working Papers

(2023). Estimating Network Effects and Their Impact on Congressional Polarization.
Presentations: 40th annual meeting of the Society for Political Methodology, NYU Methods Workshop Seminar.


(2023). Legislative Activity Relational Database: A New Open Source Database to Answer Questions about Legislative Politics. Revised and Resubmit.
Presentations: 2023 American Political Science Association Annual Meeting & Exhibition, 80th Annual Midwest Political Science Association Conference.


(2022). Bayesian Inference of Network Formation Models with Payoff Externalities.
Presentations: 2021 University of York Workshop., Midwest Econometrics Group (MEG) 2022 Conference.

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(2022). netivreg: Estimation of Peer Effects in Endogenous Social Networks. Revised and Resubmit.
Presentations: 2021 Stata Conference.


(2022). On the Estimation of Social Effects with Observational Network Data and Random Assignment. Revised and Resubmit.
Presentations: LACEA LAMES Annual-Meeting 2021., IAAE 2021 Annual Conference, Young Academics Networks Conference at University of Cambridge, INET., Sixth annual conference on Network Science and Economic 2021., North American Summer Meetings of The Econometric Society 2022., IAAE 2022 Annual Conference.

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(2022). Social Interactions in Multilayered Observational Networks. Under Revision
Presentations: Eighth Annual Conference on Network Science and Economics 2023., European Winter Meetings of The Econometric Society 2021 and 2022., 16th Economics Graduate Students’ Conference Washington University in St.Louis., IAAE 2022 Annual Conference., Midwest Econometrics Group (MEG) 2022 Conference.

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Average instructor rating of 8.2/9

Courses Taught:

Main Instructor

QTM-151: Intro.to Stat.Computing II - Fall 2023 Teaching Evaluations

QTM-151: Intro.to Stat.Computing II - Fall 2022 Teaching Evaluations

ECON-101: Principles Of Microeconomics - Spring 2021 Teaching Evaluations

Lab Instructor

QTM-100: Introduction to Statistical Inference - Fall 2020 Teaching Evaluations

QTM-210: Probability and Statistics - Spring 2020

Teaching Assistant

Including Weekly Sessions

ECON-521: Advanced Econometrics (PhD Core) - Spring 2019, 2020, 2022 Teaching Evaluations

ECON-520: Probability Theory & Statistical Inference (PhD Core) - Fall 2021 Teaching Evaluations


ECON-220: Probability & Statatistics for Economists - Fall 2020, Spring 2022

ECON-320: Econometrics - Fall 2021

ECON-485: Empirical Methods & Machine Learning - Spring 2020


Economics and Statistics