An Evaluation of Econometric Models of Adaptive Learning
By Timothy C. Salmon. 2001
125 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ec9fd6f5e51190e95929a63b1562b8c90c12cc36
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Elena Katok
- John H. Kagel
- Gary E. Bolton
- Ido Erev
- Ernan Haruvy
- Ernst Fehr
- Glenn W. Harrison
- Alvin E. Roth
Citations in the corpus
- Dissociable neural representations of reinforcement and belief prediction errors underlie strategic learning (2012, background): “In contrast, previous studies have typically used simple games that are well-suited to an experimental setting but statistically sub-optimal in separating the relative behavioral contribution of two learning rules (13).”
- Individual and cultural learning in stag hunt games with multiple actions (2010, background): “However, the performance of these and other learning rules is often so similar as to be almost indistinguishable (Feltovich, 2000; Salmon, 2001).”
- Learning and the Economics of Small Decisions (2013, background): “, Camerer and Ho, 1999) can be useful but insights tend to be sensitive to the assumption that the underlying model is well calibrated (see Feltovich, 2000; Salmon, 2001; Wilcox, 2006; Erev & Haruvy 2005).”
- Agent-Based Models and Human Subject Experiments (2004, unknown): “The first use of a classifier system (or a genetic algorithm) in an economic application was due to Marimon, McGrattan and Sargent (1990), who used a classifier system to model behavior in Kiyotaki and Wright’s (1989) model of money as a medium of exchange.”