Kim, Hyungjin
(2024)
Three Essays on Machine Learning and Applied Economics.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
This is the latest version of this item.
Abstract
This dissertation explores two main themes: the development of static games using machine learning, and the impact of firms' behaviors on economic and health outcomes. The first chapter focuses on the development of machine learning estimators for static games. The second chapter examines the effects of chain pharmacy entry on competition, market structure, and access to pharmacies in rural areas, utilizing the estimators developed in the first chapter. The third chapter investigates how mergers alter the post-merger market structure.
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Details
| Item Type: |
University of Pittsburgh ETD
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| Status: |
Unpublished |
| Creators/Authors: |
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| ETD Committee: |
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| Date: |
27 August 2024 |
| Date Type: |
Publication |
| Defense Date: |
28 March 2024 |
| Approval Date: |
27 August 2024 |
| Submission Date: |
1 April 2024 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
189 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Dietrich School of Arts and Sciences > Economics |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
machine learning; pharmacy access; anti-trust policy |
| Date Deposited: |
27 Aug 2024 13:15 |
| Last Modified: |
27 Aug 2024 13:15 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/46797 |
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Three Essays on Machine Learning and Applied Economics. (deposited 27 Aug 2024 13:15)
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