We explore signaling behavior in settings with a discriminating signal and several costly nondiscriminating ( money burning ) activities. In settings where informed parties have many options for burning money, existing theory provides no basis for selecting one nondiscriminating activity over...

Previous research shows that many people seek financial advice from non-experts, and that peer interactions influence financial decisions. We investigate whether such influences are beneficial, harmful, or simply haphazard. In our laboratory experiment, face-to-face communication with a randomly...

In settings with uncertainty, tension exists between ex ante and ex post notions of fairness (e.g., equal opportunity versus equal outcomes). In a laboratory experiment, the most common behavioral pattern is for subjects to select the ex ante fair alternative ex ante, and switch to the ex post...

This paper discusses several competing proposals for general normative frameworks that would encompass non-standard models of choice. Most existing proposals equate welfare with well-being. Some assume that well-being flows from the achievement of well-defined objectives, and that those...

This paper evaluates the prospects for the emerging field of neuroeconomics to shed light on traditional positive and normative economic questions. It argues that the potential for meaningful contributions, though often misunderstood and frequently overstated, is nevertheless present

In this survey, I summarize and evaluate the extant literature concerning taxation and personal saving. I describe the theoretical models that economists have used to depict saving decisions, and I explore the positive and normative implications of these models. The central positive question is...

This paper offers a new explanation of the dividend puzzle, based upon a model in which firms attempt to signal profitability by distrubuting cash to shareholders. I assume that dividends and repurchases are identical, except that dividends are taxed more heavily. Nevertheless, I demonstrate...