Stochastic dynamic programming for election timing: A game theory approach

Stochastic dynamic programming for election timing: A game theory approach

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Article ID: iaor20071911
Country: Singapore
Volume: 23
Issue: 3
Start Page Number: 287
End Page Number: 309
Publication Date: Sep 2006
Journal: Asia-Pacific Journal of Operational Research
Authors: ,
Keywords: game theory, programming: dynamic
Abstract:

In this paper, we consider dynamic programming for the election timing in the majoritarian parliamentary system such as in Australia, where the government has a constitutional right to call an early election. This right can give the government an advantage to remain in power for as long as possible by calling an election, when its popularity is high. On the other hand, the opposition's natural objective is to gain power, and it will apply controls termed as ‘boosts’ to reduce the chance of the government being re-elected by introducing policy and economic responses. In this paper, we explore equilibrium solutions to the government, and the opposition strategies in a political game using stochastic dynamic programming. Results are given in terms of the expected remaining life in power, call and boost probabilities at each time at any level of popularity.

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