This dissertation comprises three essays that study dynamic decisions under uncertainty--in particular, ambiguity. The first two chapters develop new decision models that emphasize the role of making statistical inferences in decisions. The third chapter highlights, in the context of persuasion, how different decision models can lead to distinct conclusions in...
Models of recursive preferences are commonly associated with a preference for early resolution of uncertainty, often regarded as an important economic channel in applications. This dissertation provides a different understanding of recursive preferences based on attitudes toward correlation, and in particular aversion to intertemporally correlated risks. Part 1 provides a...