Abstract
The chapter presents a Bayesian model for estimating ideological ambiguity of political parties from survey data. In the model, policy positions are defined as probability distributions over a policy space and survey-based party placements are treated as random draws from those distributions. A cross-classified random-effects model is employed to estimate ideological ambiguity, defined as the dispersion of the latent probability distribution. Furthermore, non-response patterns are incorporated as an additional source of information on ideological ambiguity. A Markov chain Monte Carlo algorithm is provided for parameter estimation. The usefulness of the model is demonstrated using cross-national expert survey data on party platforms.
I am grateful to John Aldrich, Scott Desposato, Jeremy Reiter, Fan Li, Mitchell Seligson, and James Stimson for comments and suggestions.
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- 1.
For example, “Where are Mitt Romney’s details?”, by Scott Lehigh, Boston Globe, June 27, 2012.
- 2.
‘Obama Fuels Pullout Debate With Remarks’, New York Times, July 4, 2008.
- 3.
For example, such interpretation of respondent opinions has been used in the risk analysis literature (Huyse and Thacker 2004).
- 4.
Palfrey and Poole (1987) analyzed how assumption of heterogeneous variance affects inference about μ but did not address how σ should be estimated.
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Rozenas, A. (2013). Inferring Ideological Ambiguity from Survey Data. In: Schofield, N., Caballero, G., Kselman, D. (eds) Advances in Political Economy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35239-3_18
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