Santiago Acerenza
Biographic Data
| ID | 9567510 |
|---|---|
| NAME | Santiago Acerenza |
| GIVEN NAMES | Santiago |
| FAMILY NAME | Acerenza |
| SIGNATURE | ACERENZA S |
| AFFILIATIONS | Departamento de Economía Universidad ORT Uruguay Blvr. España 2633 11300 Montevideo Uruguay |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Neighborhood impacts on human capital accumulation of adolescents and young adults in Montevideo
Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment
This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under smoothness assumptions. Bounds for both the case of misreported treatment and the case of no misreported treatment are derived. The identification results are illustrated by identifying the marginal treatment effe…
Testing identifying assumptions in bivariate probit models
This paper considers the bivariate probit model's identifying assumptions: linear index specification, joint normality of errors, instrument exogeneity, and relevance. First, we develop sharp testable equalities that detect all possible observable violations of the assumptions. Second, we propose an easy‐to‐implement testing procedure for the model's validity using existing inference methods for intersection bounds. The test achieves correct empi…
No prominent works on this page.
Testing identifying assumptions in bivariate probit models
This paper considers the bivariate probit model's identifying assumptions: linear index specification, joint normality of errors, instrument exogeneity, and relevance. First, we develop sharp testable equalities that detect all possible observable violations of the assumptions. Second, we propose an easy‐to‐implement testing procedure for the model's validity using existing inference methods for intersection bounds. The test achieves correct empi…
Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment
This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under smoothness assumptions. Bounds for both the case of misreported treatment and the case of no misreported treatment are derived. The identification results are illustrated by identifying the marginal treatment effe…
Neighborhood impacts on human capital accumulation of adolescents and young adults in Montevideo
Advanced Causal Inference Techniques (2 works) · Econometrics (2 works) · Mathematics (2 works) · Medicine (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Biology (1 work) · Bivariate analysis (1 work) · Computer Science (1 work) · Demographic economics (1 work)