151. Rational Learning and Bounded Learning in the Diffusion of Policy Innovations
- Author:
- Covadonga Meseguer
- Publication Date:
- 01-2005
- Content Type:
- Working Paper
- Institution:
- Kellogg Institute for International Studies
- Abstract:
- In political science, rational learning and bounded learning are commonly studied as two opposing theories of policy choice. In this paper, I use a rational-learning approach to reach conclusions about bounded learning, showing that the two theories are not necessarily incompatible. By examining a rational-learning model and the decisions of a set of developing countries to open up their trade regimes, I show that countries are particularly influenced by the choices of neighbouring countries and by particularly successful policy experiences. These are two typical contentions of the bounded-learning literature. I argue that bounded learning and rational learning yield the same results as soon as one drops the rational-learning assumption that there are zero costs to gathering new information. I use the discussion on rational learning versus bounded learning as a basis for exploring more general issues concerning the diffusion of policy innovations.
- Topic:
- International Relations, Foreign Policy, Development, and Politics
- Political Geography:
- Europe