A two-dimensional party-position panel from text and expert data
This Data Descriptor releases an election-year panel of economic left-right and cultural cosmopolitan–traditionalist party positions for 708 parties in 65 countries from 1944 to 2025. The panel supports comparative analyses connecting party-level ideological supply to elections, regions, voters, institutions, or political economy over long periods. Estimates are produced by a Bayesian dynamic item-response model that places heterogeneous text and expert evidence on a common latent scale and reports posterior uncertainty for every party-election estimate. The model combines the temporal reach of manifesto and media text data with the precision of expert placements by treating expert surveys, manifesto codings, media sentence codings, and historical expert data as noisy item-level signals of underlying party positions. Text counts enter through a two-part hurdle binomial likelihood, aggregate expert means enter through beta-binomial likelihoods, general left-right ratings inform the relationship between dimensions, and party positions evolve through random walks within party segments. Technical validation combines item-response diagnostics, random and party-blocked held-out expert prediction, convergent and discriminant checks, posterior predictive coverage, evidence-composition balance, robustness analyses, and convergence diagnostics.