Research

Econometrics

1. “The learning effects of subsidies to bundled goods: a semiparametric approach”, with Ciro Biderman.
   • Earlier version: awarded best Econometrics paper at the 2022 Brazilian Econometric Society meeting.
2. “Quantile mixture models: Estimation and Inference”, with Victor Orestes.
   • Awarded best Econometrics paper at the 2023 Brazilian Econometric Society meeting.
   • Presentation at the FEA-USP seminar series (in Portuguese).
3. “Homophily in preferences or meetings? Identifying and estimating an iterative network formation model”, with Cristine Pinto and Vladimir Ponczek.
   • Awarded best Econometrics paper at the 2019 Brazilian Econometric Society meeting.

4. “Approximate Bayesian Computation for structural models” (new draft coming soon).

5. “Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation”, with Bruno Ferman.

6. “Extensions for Inference in Difference-in-Differences with Few Treated Clusters”, with Bruno Ferman.

7. “Randomization Inference Tests for Shift-Share Designs”, with Bruno Ferman and Raoni Oliveira.

Statistics

1. “A maximal inequality for local empirical processes under weakly dependent data”, with Cristine Pinto.

2. “Inference in parametric models with many L-moments”, with Chang Chiann and Pedro Morettin.

Notes and Comments

1. “On ‘Imputation of Counterfactual Outcomes when the Errors are Predictable’: Discussions on Misspecification and Suggestions of Sensitivity Analyses”, with Bruno Ferman, invited discussion at the Journal of Business & Economics Statistics.
2. “The interpretation of 2SLS with a continuous instrument: a weighted LATE representation”, with Rodrigo Toneto, published at Economics Letters, April 2024. Supplemental Appendix.

Selected work in progress

1. “Robust randomization inference with nuisance parameters”.

2. “Demand estimation under personalized pricing”.

3. “Sensitivity analyses for treatment effect heterogeneity”.

_{You can find some older unpublished research here.}