Peer-Reviewed Articles

Guilherme Duarte, Noam Finkelstein, Dean Knox, Jonathan Mummolo, and Ilya Shpitser. 2023. An Automated Approach to Causal Inference in Discrete Settings." Journal of American Statistical Association. (Theory and Methods).

Robert Myles McDonnell, Guilherme Jardim Duarte, Danilo Freire. 2019. "congressbr: An R Package for Analysing Data from Brazil’s Chamber of Deputies and Federal Senate." Latin American Research Review. (Research note)

Job Market Paper

Guilherme Duarte. 2024. "A Unified Approach for Assessing Sensitivity to Violations of Causal Assumptions."

Submitted

Guilherme Duarte. 2024. "Identification of Single-Treatment Effects in Factorial Experiments."

In Progress

Kai Cooper, Guilherme Duarte, Luke Keele, Dean Knox, Kennedy Mattes, Jonathan Mummolo. 2024. "Evaluating the Validity and Robustness of Instrumental-Variable Analyses."

Guilherme Duarte. 2024. "A Comprehensive Approach for Sensitivity Analysis."

Guilherme Duarte. 2024. "Fast Algorithm for Closed-form Partial Identification."

Guilherme Duarte, Dean Knox. 2023. "Imperfect Data and Optimal Allocation of Data-Collection Resources."

Guilherme Duarte. "A General Framework for Transportability". 2023.

Guilherme Duarte, Luke Keele, Dean Knox, Jonathan Mummolo. 2022. "Learning From Imperfect Identification -- Automating Causal Inference When Classic Assumptions Fail".