Following from Tarbush (2011a), we explore the implications of using two different definitions of informativeness over kens; one that ranks objective, and the other subjective information. With the first, we create a new semantic operation that allows us to derive agreement theorems even when...

Information and communication technologies are one of the most pervasive technologies in the world, second only to 'human intelligence' or the human brain. Thus, understanding the factors that determine the diffusion of new technologies across african countries is important to understanding the...

We develop a framework that allows us to reproduce the generalised agreement theorem of Samet (2010), and extend it to models with a non-partitional information structure, while highlighting the features that distinguish the result from the classic theorems found in the literature. Furthermore,...

We develop a framework that allows us to emulate standard results from the “agreeing to disagree" literature with generalised decision functions (e.g. Bacharach (1985)) in a manner the avoids known incoherences pointed out by Moses and Nachum (1990). We analyse the implications of the...

We experimentally investigate the effect of social identification and information feedback on individual behavior in contests. In all treatments we find significant over-expenditure of effort relative to the standard theoretical predictions. Identifying subjects through photo display decreases...

This paper addresses the impact information has on electoral accountability in a legislative system based on seniority using laboratory experiments. A purely rational choice perspective of a simple voting environment implies that information is inconsequential when seniority is exceptionally...

We experimentally investigate the impact of recognizing contributors on public good contributions. We vary recognizing all, highest or lowest contributors. Consistent with previous studies, recognizing all contributors significantly increases contributions relative to the baseline. Recognizing...