Estimating Spatial Preferences from Votes and Text
We introduce a model that extends the standard vote choice model to encompass text. In our model, votes and speech are generated from a common set of underlying preference parameters. We estimate the parameters with a sparse Gaussian copula factor model that estimates the number of latent dimensions...
Main Authors: | Kim, In Song, Londregan, John, Ratkovic, Marc |
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Other Authors: | Massachusetts Institute of Technology. Department of Political Science |
Format: | Article |
Published: |
Oxford University Press
2018
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Online Access: | http://hdl.handle.net/1721.1/118644 https://orcid.org/0000-0002-5774-1585 |
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