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Thesis

Econometric methods and applications in modelling non-stationary climate data

Abstract:

Understanding of climate change and policy responses thereto rely on accurate measurements as well as models of both socio-economic and physical processes. However, data to assess impacts and establish historical climate records are non-stationary: distributions shift over time due to shocks, measurement changes, and stochastic trends - all of which invalidate standard statistical inference. This thesis establishes econometric methods to model non-stationary climate data consistent with kn...

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Institution:
University of Oxford
Division:
SSD
Department:
Economics
Research group:
Programme for Economic Modelling
Oxford college:
Nuffield College
Role:
Author

Contributors

Division:
SSD
Department:
Economics
Role:
Supervisor
More from this funder
Name:
Institute for New Economic Thinking (INET)
Funding agency for:
Pretis, F
Publication date:
2015
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
Language:
English
Keywords:
Subjects:
UUID:
uuid:f4c9122b-5270-4b55-a292-2cdf10ad7f2a
Local pid:
ora:11491
Deposit date:
2015-05-27

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