Informative Absence Under Information Asymmetry

Abstract A recurring difficulty in evaluation under uncertainty is that what is missing sometimes matters more than what is presented. Several research traditions—disclosure economics, audit methodology, intelligence analysis—have each developed ways of reasoning about absent information, but they rarely speak to each other. This paper draws out what they share: the basic problem that noticing an absence requires an expectation, and deciding whether that absence is informative is a separate, fallible step. The discussion connects this pattern to the unraveling result in voluntary disclosure theory while noting that, outside formal models, expectations are often not common knowledge. The paper does not propose a new method. It is a conceptual discussion and cross-domain synthesis, emphasizing the cognitive conditions under which absence-based reasoning is most and least reliable. Keywords: informative absence, voluntary disclosure, completeness assertion, expectation formation, information asymmetry JEL Classification: D81, D82, G32, M10