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Dates in 2024:
Dates in 2024:
REECAP Webinar on "Behavioural and experimental economics applied to agricultural policy in Australia and potential synergies with REECAP"
REECAP Webinar on "Behavioural and experimental economics applied to agricultural policy in Australia and potential synergies with REECAP"
November 12th, 10:00 - 12:00 CET
Chairs: Steven Schilizzi & Daniel Martinez Felip (University of Western Australia)
JOIN MEETING VIA THIS LINK (MS Teams): Join Here (ID: 345 151 505 387; Passcode: LCiYtz)
The webinar will have two parts
Presentation of REECAP + state of the art in Australia and discussion of potential synergies
Examples of experimental work conducted in Australia focused on agri-environmental problems:
Steven Schilizzi (University of Western Australia): “Synthesis of work done in Western Australia on identifying factors that affect performance of conservation auctions”
Daniel Martinez Felip (University of Western Australia): “Social exclusion, normative change and willingness to cooperate in public good games”
Register to attend the webinar
Register to attend the webinar
REECAP Workshop on "Methods for adaptive economic experiments"
REECAP Workshop on "Methods for adaptive economic experiments"
November 26th, 15:00 - 17:00 CET
Chairs: Maximilian Kasy, University of Oxford
In this workshop, Maximilian Kasy will give an introduction on methods for adaptive economic experiments. The underlying idea of adaptive experimental designs is to use observed outcomes of an experiment, during the data collection phase, to optimize the treatment allocation. This can help to achieve better power with smaller sample size. Maximilian will discuss the theoretical background, the current state-of-the-art for adaptive economic experiments and the tools required for their implementation.
About the speaker
Maximilian Kasy is Professor of Economics at the University of Oxford. He received his PhD at UC Berkeley and joined Oxford after appointments at UCLA and Harvard University. His current research interests focus on social foundations for statistics and machine learning, going beyond traditional single-agent decision theory. He also works on economic inequality, job guarantee programs, and basic income. He teaches a course on foundations of machine learning at the economics department at Oxford.
Header image by Dylan Gillis on Unsplash.com, Unsplash License
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