Loosening the Ties that Bind: A Learning Model of Agreement Flexibility

Abstract

How can states credibly make and keep agreements when they are uncertain about the distributional implications of their cooperation? They can do so by incorporating the proper degree of flexibility into their agreements. I develop a formal model in which an agreement characterized by uncertainty may be renegotiated to incorporate new information. The uncertainty is related to the division of gains under the agreement, with the parties resolving this uncertainty over time as they gain experience with the agreement. The greater the agreement uncertainty, the more likely states will want to limit the duration of the agreement and incorporate renegotiation. Working against renegotiation is noise—that is, variation in outcomes not resulting from the agreement. The greater the noise, the more difficult it is to learn how an agreement is actually working; hence, incorporating limited duration and renegotiation provisions becomes less valuable. In a detailed case study, I demonstrate that the form of uncertainty in my model corresponds to that experienced by the parties to the Nuclear Non-Proliferation Treaty, who adopted the solution my model predicts.