Learning and Party Competition |
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| Authors: | Jie‐Shin Lin |
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| Affiliation: | 1. I‐Shou University, Taiwan;2. Jie‐Shin Lin is an Associate Professor of Department of Public Policy and Management at I‐Shou University, Taiwan. He is a member of the international Society of Computational Economics and is the director of Research on Public Policy and Regional Economy, IEK, ITRI. Currently Jie‐Shin is concentrating on understanding the complexity of economic, social and political systems. He continues to work on both computational agent‐based modelling of economic, social and political systems. |
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| Abstract: | Downs's (1957) analysis of political ideologies by means of a spatial analogy suggests that parties' efforts to attract votes lead them to adopt a median position. In this study, we consider a typology of two‐party competition based on two different learning environments, i.e. individual and social learning. Our results suggest that in the environment of population learning we have the median outcome, i.e. conventional, and in the one of individual learning we have the outcome of divergence. |
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| Keywords: | Spatial Election Model Bounded Rationality Adaptation Social Learning Individual Learning Party Competition |
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