Showing 1 - 10 of 107
Persistent link: https://www.econbiz.de/10005409270
In this paper we propose a locally interactive model which explains both the cross sectional dynamics as well as the possibility of multiple long run equilibria. Firms can choose between two technologies say 1 and 0; the returns from technology 1 are affected by the number of neighboring firms...
Persistent link: https://www.econbiz.de/10009458646
In this paper we provide a simple locally interactive dynamic model of technology choice and output production. We assume a Cobb-Douglas type production function for two available technologies. The returns to technology 0 are not affected by local spillovers. Technology 1 is more costly, as...
Persistent link: https://www.econbiz.de/10009458649
This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al. (2001). The stochastic model of learning accounts for two main elements: the Law of E¤ect (positive reinforcement of...
Persistent link: https://www.econbiz.de/10009458650
This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al (2001). This stochastic model of learning in games accounts for two main elements: the law of effect (positive...
Persistent link: https://www.econbiz.de/10009458652
Persistent link: https://www.econbiz.de/10011005867
In this paper we provide a simple locally interactive dynamic model of technology choice and output production. We assume a Cobb-Douglas type production function for two available technologies. The returns to technology 0 are not affected by local spillovers. Technology 1 is more costly, as...
Persistent link: https://www.econbiz.de/10005246243
Persistent link: https://www.econbiz.de/10005307952
This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al (2001). This stochastic model of learning in games accounts for two main elements: the law of effect (positive...
Persistent link: https://www.econbiz.de/10009325572
Persistent link: https://www.econbiz.de/10006031263