Seminarios académicos y conferencias
Reputation and Shifting Observability, coescrito con Joyee Deb
11 Diciembre 2015 - 11:30 hrs.
Sala 209, Facultad de Ciencias Económicas y Administrativas UC
Abstract: In an infinite-horizon reputation model, a Markov process determines whether or not outcomes are observed in each period. Less frequent observation can lead to more efficient outcomes, and different Markov processes that imply the same average frequency of observation vary in their strength of reputation-based incentives. This has implications for applications such as the design of review processes. The results and underlying intuition are robust to several variations of the model including one where the probability of observation depends on the long-run players reputation rather than on whether or not the outcome was observed in the previous period.