Causal inference in equilibrium
Abstract/Contents
- Abstract
- This dissertation examines treatment effect estimation and optimal policy design when observed agents are interacting in a strategic environment. Using various notions of equilibria to impose some structure on interactions, this leads to new experimental designs and strategies for causal inference.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2024; ©2024 |
| Publication date | 2024; 2024 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Munro, Evan Matthew |
|---|---|
| Degree supervisor | Imbens, Guido |
| Degree supervisor | Wager, Stefan |
| Thesis advisor | Imbens, Guido |
| Thesis advisor | Wager, Stefan |
| Thesis advisor | Athey, Susan |
| Degree committee member | Athey, Susan |
| Associated with | Stanford University, Graduate School of Business |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Evan Munro. |
|---|---|
| Note | Submitted to the Graduate School of Business. |
| Thesis | Thesis Ph.D. Stanford University 2024. |
| Location | https://purl.stanford.edu/gw994jq1576 |
Access conditions
- Copyright
- © 2024 by Evan Matthew Munro
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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