Twenty years ago, behavioral economics did not exist as a field. Most economists were deeply skeptical—even antagonistic—toward the idea of importing insights from psychology into their field. Today, behavioral economics has become virtually mainstream. It is well represented in prominent journals and top economics departments, and behavioral economists, including several contributors to th…
We conduct a stuidy in which subjects trade stocks in an experimental market while we measure their brain activity using functional magnetic reasonance imaging. .Printed Journal
Printed Journal
This special issue showcases that demonstrtes the usefulnes of neuroscientific approches to a range of marketing-related questions..Printed Journal
Executives use analogies to improve strategic decisions. However, existing research provides little guidance on the types and number of analogies that produce the best decisions. We examine models of analogy and present findings from two empirical tests. The first test, a study of private-equity investment decisions, finds that an 'outside view' -- forming a reference class of analogies -- perf…
he authors discuss the potential of making the recently developed behavioral economics models even more "psychological" by (1) increasing their context specificity, (2) allowing different people to have different model parameters, and (3) capturing the underlying psychological processes more explicitly. They show that some of these models already make room for understanding context specificity …
Marketing is an applied science that attempts to explain and influence how firms and consumers actually behave in markets. Marketing models are usually applications of economic theories. Behavioral economics explores the implications of the limits of rationality. The goal is to make economic theories more plausible while maintaining formal power and accurate prediction of field data. This revie…
This note emphasizes the special role of prospect theory in drawing psychophysical consideration into theories of decision making with respect to risk. An example of such a consideration is the dependence of outcome value on a reference point and the increased sensitivity of loss relative to gain (i.e. loss aversion). Loss aversion can explain the St. Petersburg paradox without requiring concav…