Abstract
The main purpose of this paper is to consider how to choose a model when there are many possible alternatives to choose from. We use global warming, especially, emissions trading, as an example. First, we describe each model in a very simple setting and then consider implicit and explicit assumptions underlying each model. In other words, we try to identify the environments in which the model really works. Our models yield results that may be different or occasionally inconsistent. In order to evaluate the results, we argue that the setting of the models and the implications of their implicit assumptions are important.
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Saijo, T. (2005). Choosing a Model out of Many Possible Alternatives: Emissions Trading as an Example. In: Rapoport, A., Zwick, R. (eds) Experimental Business Research. Springer, Boston, MA. https://doi.org/10.1007/0-387-24243-0_3
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DOI: https://doi.org/10.1007/0-387-24243-0_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24214-9
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