Thesis
Econometric methods for implementing decision functions
- Abstract:
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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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Authors
Contributors
+ Sheppard, K
Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Supervisor
Funding
+ David Walton Distinguished Doctoral Studentship
More from this funder
Funding agency for:
Klimenka, F
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- UUID:
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uuid:3ae3ceb6-ea4d-4233-9396-2c9e15189657
- Deposit date:
- 2017-10-09
Related Items
Terms of use
- Copyright holder:
- Klimenka, F; Wolter, J; . James Wolter. Filip Klimenka
- Copyright date:
- 2017
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