Juan Estrada

Associate | Ph.D. in Economics

Analysis Group

Biography

I’m an Associate at Analysis Group, conducting economic and econometric analyses in intellectual property, finance, and policy evaluation. My recent research centers on U.S. Congressional legislative and voting behavior, advancing methods to causally identify social interactions within congressional networks. In econometrics, my research focuses on developing approaches to assess the causal impact of social and professional connections on individual outcomes using non-experimental data.

Interests

Econometrics of Networks
Causal Inference
Applied Microeconomics
American Politics

Education

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

Publications

Chan, J.; Estrada, J.; Huynh, K.P.; Jacho-Chavez, D.T.; Lam, S.;Sanchez-Aragon (2024). Estimating Social Effects with Randomized and Observational Network Data. Journal of Econometric Methods, vol. 13, no. 2, 2024, pp. 205-224.

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Estrada, P.; Estrada, J.; Huynh, K.P.; Jacho-Chavez, D.T.; Sanchez-Aragon, L. (2024). netivreg: Estimation of Peer Effects in Endogenous Social Networks. forthcoming in The Stata Journal.

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Rojas, D.; Estrada, J.; Huynh, K.P.; Jacho-Chavez (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

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

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Carrubba, C.; Crisp, B.; Estrada, J.; Gabel (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.

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Ding, C.; Estrada, J.; Montoya-Blandón (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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Estrada (2022). Social Interactions in Multilayered Observational Networks. revise and resubmit
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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Teaching

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

Others

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

ECON-320: Econometrics - Fall 2021

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

Awards

Outstanding Graduate Teaching Associate Award

Laney Graduate School, Emory University Apr 2022

Economics Graduate Student Research Award of Excellence

Emory University Department of Economics Apr 2022

Skills

Economics and Statistics

Python

SQL

Git

Postgres

Github

Overleaf

Contact

jjestra@emory.edu
+1 (404) 547 4718
Rich Memorial Building, Atlanta, GA 30322-2240