Technology diffusion by learning from neighbours

Kalyan Chatterjee, Susan H. Xu

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


In this paper, we consider a model of social learning in a population of myopic, memoryless agents. The agents are placed at integer points on an infinite line. Each time period, they perform experiments with one of two technologies, then each observes the outcomes and technology choices of the two adjacent agents as well as his own outcome. Two learning rules are considered; it is shown that under the first, where an agent changes his technology only if he has had a failure (a bad outcome), the society converges with probability 1 to the better technology. In the other, where agents switch on the basis of the neighbourhood averages, convergence occurs if the better technology is sufficiently better. The results provide a surprisingly optimistic conclusion about the diffusion of the better technology through imitation, even under the assumption of extremely boundedly rational agents.

Original languageEnglish (US)
Pages (from-to)355-376
Number of pages22
JournalAdvances in Applied Probability
Issue number2
StatePublished - Jun 2004

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Applied Mathematics


Dive into the research topics of 'Technology diffusion by learning from neighbours'. Together they form a unique fingerprint.

Cite this