Carlos Carvalho is a Professor in Statistics at the McCombs School of Business. His research develops statistical models to enhance our understanding of effects of economic policies. Originally from Brazil, Carlos holds a Ph.D. in Statistics from Duke University and was an assistant professor in the faculty of the University of Chicago before joining UT in 2010.
Education
Ph.D in Statistics, Duke University, 2006
Academic Appointments
Professor of Statistics, The University of Texas at Austin, since 2010
Assistant Professor of Econometrics and Statistics, The University of Chicago, 2007-2010
Selected Publications
“Bayesian Regression Tree Models for Causal Inference.” Bayesian Analysis, 2020.
“Monotonic Effects of Characteristics on Returns.” Annals of Applied Statistics, 2020.
“Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models.” Annals of Applied Statistics, 2020.
“A National Experiment Reveals where a Growth Mindset Improves Achievement.” Nature, 2019.
“On the Long Run Volatility of Stocks.” Journal of the American Statistical Association, 2018.