In Berlin, at the Manifesto Project User Conference I presented a paper entitled "Challenges in Tracking Parties’ Positions in Multi-dimensional Policy Spaces by Manifesto Project data: A Dynamic Idealpoint Model and its Extensions". In this paper I discuss way of reconstructing political positions from coded political texts based on an idealpoint model (introduced in a publication of mine in Political Analysis) as well as some extension of this model that address some challenges, such as different acuity of political aims.

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Emphasis of policy objectives if the objective function is rigid, i.e. all policy objectives have the same acuity.
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Emphasis of policy objectives if the objective function is flexible, i.e. all policy objectives vary in acuity.
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Position of a party and its RiLe score, if policy objectives are equally distributed in the political space and have the same acuity.
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Position of a party and its principal component score, if policy objectives are equally distributed in the political space and have the same acuity.