Causal inference for circular economy data
A. Lorenzo Arribas
We evaluate causal inference methodologies with a focus on understanding effects of potential interventions and policy scenarios in facilitating behaviour changes that accelerate green recovery to move society towards a circular economy. Traditional statistical approaches fail to capture causal relationships and resulting feedbacks, whilst agent-based modelling which can represent explicit causal relations are problematic when used for inference. Causal inference is well established in other disciplines such as epidemiology and is a growing area in economics. In circular economy applications, tailored causality frameworks have been used sparingly but there is a recognised need to reflect causality more formally. We build on previous work assessing the potential of causal inference methods and assess the feasibility of new methods to estimate causal effects for observational data by means of an application to data on circular economy behaviours.
Keywords: Causal Inference; Circular Economy; Observational Data.
Scheduled
Inivited Session Royal Statistical Society
June 9, 2022 10:10 AM
Audiovisual room
Other papers in the same session
M. Brewer
Ó. Rodriguez de Rivera Ortega
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6/8/22
Visit Alhambra
Tomorrow, Thursday, we will visit the Alhambra. 1. At 7:00 p.m., buses will start leaving from the door of the Hotel Granada Center (in front of the door of the Faculty of Sciences) 2. Upon arrival, groups with guides will be organized. 3. There will be groups in English language. These groups will wait at the destination until the arrival of all buses. 4. After the visit to the Alhambra we will walk to the Carmen de los Mártires to have a cocktail. 5. On the way back, we can go back by bus, which will leave from the same place where they left us at the Alhambra. 6. Although the way to the Alhambra by bus seems long, it really is close to the city. We invite you, whoever wishes, to go down for a pleasant walk. 7. Do not forget to take your Alhambra ticket and your identity card or passport. The document must be the same whose number matches the ticket number you have.
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5/31/22
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5/27/22
Gala Dinner
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5/23/22
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5/16/22
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