Thomas M Russell
Biographic Data
| ID | 8920091 |
|---|---|
| NAME | Thomas M Russell |
| GIVEN NAMES | Thomas M |
| FAMILY NAME | Russell |
| SIGNATURE | RUSSELL T M |
| AFFILIATIONS | Carleton University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments
This article proposes a new approach to obtain uniformly valid inference for linear functionals or scalar subvectors of a partially identified parameter defined by linear moment inequalities. The procedure amounts to bootstrapping the value functions of randomly perturbed linear programming problems, and does not require the researcher to grid over the parameter space. The low-level conditions for uniform validity rely on genericity results for l…
Sharp Bounds on Functionals of the Joint Distribution in the Analysis of Treatment Effects
This article proposes an identification and estimation method that allows researchers to bound continuous functionals of the joint distribution of potential outcomes from the literature on treatment effects. The focus is on a model where no restrictions are imposed on treatment selection. The method can sharply bound interesting parameters when analytical bounds are difficult to derive, can be used in settings in which instruments are available, …
No prominent works on this page.
Sharp Bounds on Functionals of the Joint Distribution in the Analysis of Treatment Effects
This article proposes an identification and estimation method that allows researchers to bound continuous functionals of the joint distribution of potential outcomes from the literature on treatment effects. The focus is on a model where no restrictions are imposed on treatment selection. The method can sharply bound interesting parameters when analytical bounds are difficult to derive, can be used in settings in which instruments are available, …
Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments
This article proposes a new approach to obtain uniformly valid inference for linear functionals or scalar subvectors of a partially identified parameter defined by linear moment inequalities. The procedure amounts to bootstrapping the value functions of randomly perturbed linear programming problems, and does not require the researcher to grid over the parameter space. The low-level conditions for uniform validity rely on genericity results for l…
Applied Mathematics (2 works) · Computer Science (2 works) · Mathematical optimization (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Causal Inference Techniques (1 work) · Econometrics (1 work) · Engineering (1 work) · Fuzzy Systems and Optimization (1 work) · Health Systems, Economic Evaluations, Quality of Life (1 work)