Désiré Kédagni
Biographic Data
| ID | 9678779 |
|---|---|
| NAME | Désiré Kédagni |
| GIVEN NAMES | Désiré |
| FAMILY NAME | Kédagni |
| SIGNATURE | KÉDAGNI D |
| AFFILIATIONS | Department of Economics University of North Carolina at Chapel Hill Chapel Hill NC USA |
| ORCID | 0000-0001-5741-0797 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
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…
Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Bivariate analysis (1 work) · Computer Science (1 work) · Econometrics (1 work) · Endogeneity (1 work) · Health Systems, Economic Evaluations, Quality of Life (1 work) · Inference (1 work) · Joint probability distribution (1 work) · Mathematics (1 work)