activity
20192026
most citedCrime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification

7 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

econ.EM2026

Beyond Linearity: Semiparametric Solutions to Contamination Bias with Multi-valued Treatments

Michel Csillag Finger, Vitor Possebom

We examine semiparametric solutions to contamination bias for nonbinary treatments. Deepening the discussion by Goldsmith-Pinkham et al. (2024), we detail how spline functions appr…

econ.EM2026

Partial Identification under Stratified Randomization

Bruno Ferman, Davi Siqueira, Vitor Possebom

This paper develops a unified framework for partial identification and inference in stratified experiments with attrition, accommodating both equal and heterogeneous treatment shar…

econ.EM2022

Probability of Causation with Sample Selection: A Reanalysis of the Impacts of Jóvenes en Acción on Formality

Vitor Possebom, Flavio Riva

This paper identifies the probability of causation when there is sample selection. We show that the probability of causation is partially identified for individuals who are always…

econ.EM2021

Identifying Marginal Treatment Effects in the Presence of Sample Selection

Otávio Bartalotti, Désiré Kédagni, Vitor Possebom

This article presents identification results for the marginal treatment effect (MTE) when there is sample selection. We show that the MTE is partially identified for individuals wh…

econ.EM2021★ 7 cited

Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification

Vitor Possebom

I partially identify the marginal treatment effect (MTE) when the treatment is misclassified. I explore two restrictions, allowing for dependence between the instrument and the mis…

econ.EM2019

Sharp Bounds for the Marginal Treatment Effect with Sample Selection

Vitor Possebom

I analyze treatment effects in situations when agents endogenously select into the treatment group and into the observed sample. As a theoretical contribution, I propose pointwise…