Party competition in voters’ minds: Simulating the role of policy issues. The case of the Japanese Upper House election in 2019

Camatarri, Stefano;Gallina, Marta;Hino, Airo
(2020) Winter Meeting of the Japanese Society for Quantitative Political Science (JSQPS) — Location: Tokyo (4.January.2020)

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Studies on party positions generally rely on two alternative measurement strategies. The first, based on a deductive logic, aims to assess where parties are located according to a set of dimensions defined a priori by researchers (e.g. left-right). The second, following an inductive rationale, looks rather at the latent relationships between parties, inferred either from voter-level data (Benoit and Laver, 2012) or an unsupervised scaling method of party manifestos (Slapin and Proksch, 2008). Whereas most contributions in the field focus only on one or the other strategy, this paper applies both strategies not just to the supply side (party manifestos) and but also to the demand side (voters’ preferences) data, and then discuss merits and demerits by closely evaluating their similarities and differences. For this purpose, we analyse the data derived from the Voting Advice Application (VAA) and party manifestos collected during the 2019 Upper House Election in Japan.
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Camatarri, S., Gallina, M., & Hino, A. (2020). Party competition in voters’ minds: Simulating the role of policy issues. The case of the Japanese Upper House election in 2019. Winter Meeting of the Japanese Society for Quantitative Political Science (JSQPS), Tokyo. https://hdl.handle.net/2078.5/237948