In a repeated-interaction public goods economy, dynamic behavior may affect the efficiency of various mechanisms thought to be efficient in one-shot games. Inspired by results obtained in previous experiments, the current paper proposes a simple best response model in which players ’ beliefs are functions of previous strategy profiles. The predictions of the model are found to be highly consistent with new experimental data from five mechanisms with various types of equilibria. Interesting properties of a 2-parameter Vickrey-Clarke-Groves mechanism help to draw out this result. The simplicity of the model makes it useful in predicting dynamic stabilit
This thesis concerns the foundations of equilibrium notions in game theory. Game theory and its equi...
Here, we present some experiments of non-cooperative games of network formation based on Bala and Go...
The aim of my Ph.D. thesis is to advance understanding of human choice behavior in repeated strategi...
In a repeated-interaction public goods economy, dynamic behavior may affect the efficiency of variou...
In a repeated-interaction public goods economy, incomplete information and dy-namic behavior may aff...
Abstract We are interested in how Groves-Ledyard mechanisms perform when used repeatedly in a sequen...
Do boundedly rational players learn to choose equilibrium strategies as they play a game repeatedly?...
The authors examine learning in all experiments they could locate involving one hundred periods or m...
We propose an individual-based model to describe the effects of memory and learning in the evolution...
This paper compares the leading theoretical approaches to equilibrium selection, both traditional an...
We develop a behavioral model as a a computer testbed we can use to study the probable performance o...
We use the model developed in Sarin and Vahid (1999, GEB) to explain the experiments reported in Ere...
In earlier research we proposed an “experience-weighted attraction (EWA) learning” model for predict...
This dissertation studies how asymmetric information between economic agents interacts with their in...
A deterministic learning model applied to a game with multiple equilibria pro-duces distinct basins ...
This thesis concerns the foundations of equilibrium notions in game theory. Game theory and its equi...
Here, we present some experiments of non-cooperative games of network formation based on Bala and Go...
The aim of my Ph.D. thesis is to advance understanding of human choice behavior in repeated strategi...
In a repeated-interaction public goods economy, dynamic behavior may affect the efficiency of variou...
In a repeated-interaction public goods economy, incomplete information and dy-namic behavior may aff...
Abstract We are interested in how Groves-Ledyard mechanisms perform when used repeatedly in a sequen...
Do boundedly rational players learn to choose equilibrium strategies as they play a game repeatedly?...
The authors examine learning in all experiments they could locate involving one hundred periods or m...
We propose an individual-based model to describe the effects of memory and learning in the evolution...
This paper compares the leading theoretical approaches to equilibrium selection, both traditional an...
We develop a behavioral model as a a computer testbed we can use to study the probable performance o...
We use the model developed in Sarin and Vahid (1999, GEB) to explain the experiments reported in Ere...
In earlier research we proposed an “experience-weighted attraction (EWA) learning” model for predict...
This dissertation studies how asymmetric information between economic agents interacts with their in...
A deterministic learning model applied to a game with multiple equilibria pro-duces distinct basins ...
This thesis concerns the foundations of equilibrium notions in game theory. Game theory and its equi...
Here, we present some experiments of non-cooperative games of network formation based on Bala and Go...
The aim of my Ph.D. thesis is to advance understanding of human choice behavior in repeated strategi...