- Abstract:
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In this thesis, we study a “heuristic approach” that are frequently used for outlier robustness analysis in either the classical or instrumental variables regression. In applied economics, it is a frequent concern whether a tiny set of atypical observations may have invalidated the key empirical findings. To check the robustness of the conclusion especially with respect to outliers, the heuristic approach is to first run least squares regression and remove observations with residuals beyon...
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- Institution:
- University of Oxford
- Division:
- SSD
- Department:
- Economics
- Role:
- Examiner
- Department:
- Department of Statistics, London School of Economics
- Role:
- Examiner
- Institution:
- University of Oxford
- Oxford college:
- Nuffield College
- Role:
- Supervisor
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- UUID:
-
uuid:e6e77bac-ccdb-4d36-aa07-da73c2220308
- Language:
- English
- Keywords:
- Subjects:
- Copyright holder:
- Jiao, X
- Copyright date:
- 2019
Thesis
Essays on asymptotics of outlier detection algorithms with applications to economics
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Authors
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+ Duffy, J
+ Yao, Q
+ Nielsen, B
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