When aggregating individual preferences through the majority rule in an n-dimensional spatial voting model, the 'worst-case' scenario is a social choice configuration where no political equilibrium exists unless a super-majority rate as high as 1 -- 1/(n+1) is adopted. In this paper we assume that a lower d-dimensional (d < n) linear map spans the possible candidates' platforms. These d 'ideological' dimensions imply some linkages between the n political issues. We randomize over these linkages and show that there almost surely exists a 50%-majority equilibria in the above worst-case scenario, when n grows to infinity. Moreover, the equilibrium is the mean voter
In this dissertation we will analyze the proximity spatial models for cumulative voting. We will sh...
We study majority voting over a bidimensional policy space when the voters’ type space is either uni...
We study a model of proportional representation, in which the policy space is multidimensional. We f...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
We study majority voting over a bidimensional policy space when the voters' type space is either un...
A spatial model of party competition is studied in which, (i) Parties are supposed to have ideology....
This paper presents a multicandidate spatial model of probabilistic voting in which voter utility fu...
Although there exist extensive results concerning equilibria in spatial models of two-party election...
Majority rule voting with smooth preferences on a smooth policy space W is examined. It is shown tha...
We unify and extend much of the literature on probabilistic voting in two-candidate elections. We gi...
We unify and extend much of the literature on probabilistic voting in two-candidate elec-tions. We g...
In this dissertation we will analyze the proximity spatial models for cumulative voting. We will sh...
We study majority voting over a bidimensional policy space when the voters’ type space is either uni...
We study a model of proportional representation, in which the policy space is multidimensional. We f...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
When aggregating individual preferences through the majority rule in an n-dimensional spatial voting...
We study majority voting over a bidimensional policy space when the voters' type space is either un...
A spatial model of party competition is studied in which, (i) Parties are supposed to have ideology....
This paper presents a multicandidate spatial model of probabilistic voting in which voter utility fu...
Although there exist extensive results concerning equilibria in spatial models of two-party election...
Majority rule voting with smooth preferences on a smooth policy space W is examined. It is shown tha...
We unify and extend much of the literature on probabilistic voting in two-candidate elections. We gi...
We unify and extend much of the literature on probabilistic voting in two-candidate elec-tions. We g...
In this dissertation we will analyze the proximity spatial models for cumulative voting. We will sh...
We study majority voting over a bidimensional policy space when the voters’ type space is either uni...
We study a model of proportional representation, in which the policy space is multidimensional. We f...