5 citations · 7 across the 5 of their papers we have counts for
9 papers
Racial Preferences at a Texas Medical School
David Puelz
Whether and how race is used in selective admissions remains a central question in higher education and civil rights law. In Students for Fair Admissions v. Harvard (2023), the Sup…
Heterogeneous Treatment Effect Estimation under Noncompliance in the Illinois Workplace Wellness Study with Bayesian Tree Ensembles
Jared D. Fisher, David W. Puelz, Sameer K. Deshpande
Estimating varying treatment effects in randomized trials with noncompliance is inherently challenging since variation comes from two separate sources: variation in the impact itse…
A Symmetric Prior for Multinomial Probit Models
Lane F. Burgette, David Puelz, P. Richard Hahn
Fitted probabilities from widely used Bayesian multinomial probit models can depend strongly on the choice of a base category, which is used to uniquely identify the parameters of…
A Graph-Theoretic Approach to Randomization Tests of Causal Effects Under General Interference
David Puelz, Guillaume Basse, Avi Feller +1
Interference exists when a unit's outcome depends on another unit's treatment assignment. For example, intensive policing on one street could have a spillover effect on neighboring…
Regret-based Selection for Sparse Dynamic Portfolios
David Puelz, P. Richard Hahn, Carlos Carvalho
This paper considers portfolio construction in a dynamic setting. We specify a loss function comprised of utility and complexity components with an unknown tradeoff parameter. We d…
Variable Selection in Seemingly Unrelated Regressions with Random Predictors
David Puelz, P. Richard Hahn, Carlos Carvalho
This paper considers linear model selection when the response is vector-valued and the predictors are randomly observed. We propose a new approach that decouples statistical infere…
Regularization and confounding in linear regression for treatment effect estimation
P. Richard Hahn, Carlos M. Carvalho, Jingyu He +1
This paper investigates the use of regularization priors in the context of treatment effect estimation using observational data where the number of control variables is large relat…
Sparse Mean-Variance Portfolios: A Penalized Utility Approach
David Puelz, P. Richard Hahn, Carlos M. Carvalho
This paper considers mean-variance optimization under uncertainty, specifically when one desires a sparsified set of optimal portfolio weights. From the standpoint of a Bayesian in…
Optimal ETF Selection for Passive Investing
David Puelz, Carlos M. Carvalho, P. Richard Hahn
This paper considers the problem of isolating a small number of exchange traded funds (ETFs) that suffice to capture the fundamental dimensions of variation in U.S. financial marke…