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Thesis

Econometric methods for implementing decision functions

Abstract:

This thesis develops econometric methods for implementing data-based decisions. Decisions are viewed as functions of parameters which are estimated from the data. Standard methods focus on providing precise estimates of parameters ignoring intention to use them in decisions. My thesis focuses on designing methods to minimize the expected error in decision functions. The first chapter develops model averaging estimators in multiple regressions that minimize the mean squared error (MSE) of a...

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Division:
SSD
Department:
Economics
Role:
Author
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Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Contributor, Supervisor, Author

Contributors

Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:3ae3ceb6-ea4d-4233-9396-2c9e15189657
Deposit date:
2017-10-09

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