Daniel Monte received a BA (2000) from the University of Sao Paulo, Brazil, an MA (2003) and a PhD (2007) from Yale University.

Daniel's main teaching and research areas are in microeconomics and game theory. His current research is on bounded memory, reputation, and learning. He is also interested in applied theory and models of credibility, cognitive constraints, and behavioral aspects of strategic interactions.

Recent working papers:

• “Reputation and Bounded Memory: A Theory of Inertia and Skepticism,”  2007.
  
  
• “Bounded Memory and Limits on Learning,” 2006.
  
  
• “Learning in Hidden Markov Models with Bounded Memory” (with Maher Said), 2006.
  
  
• “Commitment in a Credibility Model,” 2006.