Modeling dynamic preferences: A Bayesian robust dynamic latent ordered probit model

Published

Journal Article

Much politico-economic research on individuals' preferences is cross-sectional and does not model dynamic aspects of preference or attitude formation. I present a Bayesian dynamic panel model, which facilitates the analysis of repeated preferences using individual-level panel data. My model deals with three problems. First, I explicitly include feedback from previous preferences taking into account that available survey measures of preferences are categorical. Second, I model individuals' initial conditions when entering the panel as resulting from observed and unobserved individual attributes. Third, I capture unobserved individual preference heterogeneity both via standard parametric random effects and a robust alternative based on Bayesian nonparametric density estimation. I use this model to analyze the impact of income and wealth on preferences for government intervention using the British Household Panel Study from 1991 to 2007. © The Author 2013. Published by Oxford University Press on behalf of the Society for Political Methodology. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Stegmueller, D

Published Date

  • January 1, 2013

Published In

Volume / Issue

  • 21 / 3

Start / End Page

  • 314 - 333

Electronic International Standard Serial Number (EISSN)

  • 1476-4989

International Standard Serial Number (ISSN)

  • 1047-1987

Digital Object Identifier (DOI)

  • 10.1093/pan/mpt001

Citation Source

  • Scopus