Updating Subjective Risks in the Presence of Conflicting Information: An Application to Climate Change

By T. Cameron. 2003

126 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a708f646fe864e2fabdc306202236172767e2ca8

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Citations in the corpus

“A convenient truth”: air travel passengers’ willingness to pay to offset their CO2 emissions (2008, background): “Cameron 2001, 2005; Layton and Brown 2000; Layton and Levine 2002).”
Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications (2010, background): “Although this is based on a socio-psychological framework, it can be regarded as a different application to that of general attitudinal surveys, especially for the large part it plays in the study of perceptions towards nuclear (Smith and Michaels 1987; Drottz-Sjoberg and Sjoberg 1990), climate (Cam”
Aggregating imprecise or conflicting beliefs: An experimental investigation using modern ambiguity theories (2012, unknown): “The perceived likelihood will then exceed the midpoint 0.9. Such a processing of information is perfectly sensible, and leads to the high weight assigned to such events. It can be captured by rational Bayesian decision models, irrespective of any ambiguity. Our finding then implies that agents who e”
How do people update? The effects of local weather fluctuations on beliefs about global warming (2012, background): “Moreover, although numerous studies have found that people do not always follow Bayes’s rule (e.g., Charness et al. 2007; Charness and Levin 2005), others find that updating is largely consistent with it (e.g., Anwar and Loughran 2011).”
The impact of climate change and the social cost of carbon (2018, result): “Similar conclusions are drawn by other studies (Welsch, 1995, Eismont and Welsch, 1996, Cameron, 2005, Traeger, 2014, Tol, 2015, Lemoine and Traeger, 2016, Heal, 2017).”
Individual Option Prices for Climate Change Mitigation (2005, methodology): “A thorough analysis of the updating process from native priors to posterior distributions is contained in Cameron (2002).”