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David Puelz

Clinical Assistant Professor

Department:     Finance

Additional Titles:     Program Director (Academic)

David Puelz

David Puelz is the director of policy analytics for the Salem Center for Policy at The University of Texas at Austin’s McCombs School of Business. He is also a clinical assistant professor, teaching Data Science for Economics and Policy, Introduction to Machine Learning, and Machine Learning in Finance.

Puelz’s research explores computational methods for applied data analysis, especially in the economic, social, and behavioral sciences. His latest work focuses on experimentation, causal inference, and data generated from networks.

Puelz previously was a postdoctoral researcher at the University of Chicago Booth School of Business and worked as an analyst for Goldman Sachs & Co.

Puelz is a referee for the Journal of the American Statistical Association, the Annals of Applied Statistics, the Journal of Business and Economic Statistics, Neural Computing and Applications, the Canadian Journal of Statistics, Econometrics and Statistics, and the Journal of Statistical Theory and Practice.

He received a B.A. in mathematics and physics from Wesleyan University in Connecticut. At UT, he completed an M.S. and Ph.D., both in statistics.


D. Puelz and R. Puelz. 2022. Financial Literacy and Perceived Economic OutcomesStatistics and Public Policy.

D. Puelz, G. Basse, A Feller, and P. Toulis. May 2021.A Graph-Theoretic Approach to Randomization Tests of Causal Effects Under General Interference.Journal of the Royal Statistical Society, Series .

D. Puelz, M. Doh, and R. Puelz. 2022. Financial Literacy and Financial Well-being. Statistics and Public Policy.

D. Puelz, J. He, P.R. Hahn, and C Carvalho. March 2018. Regularization and Confounding in Linear Regression for Treatment Effect EstimationBayesian Analysis 13 (1), 163-182.

D. Puelz, L.H. Burgette, and P.R. Hahn. 2021. A Symmetric Prior for Multinomial Probit Models. Bayesian Analysis 16 (3), 991-1008.

D. Puelz, J. Fisher, and C. Carvalho. 2020. Monotonic Effects of Characteristics on Returns. Annals of Applied Statistics 14 (4), 1622-1650.

D. Puelz, P.R. Hahn, and C. Carvalho. September 2019. Portfolio Selection for Individual Passive Investing. Applied Stochastic Models in Business and Industry.

D. Puelz, P.R. Hahn, and C. Carvalho. December 2017. Variable Selection in Seemingly Unrelated Regressions with Random PredictorsBayesian Analysis 12 (4), 969-989.

D. Puelz. 2018. Regularization in Econometrics and Finance. Dissertation.

D. Puelz. 2022. Analysis of SEIR Model Forecasts and Their Magnificent Failure During the COVID-19 Pandemic.