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In this paper, a Bayesian spatial voting model is applied for the first timeto characterize the legislative behavior of the Senate of the Republic ofColombia for the period 2006-2010. The analysis is carried out based on theplenary nominal votes of the Senate. The estimation of the model is done usingMarkov Monte Carlo chain algorithms. The estimated ideal points provideempirical evidence supporting a latent non-ideological feature(opposition--non-opposition) underlying senators' voting. Additionally, therelationship between the parapolitics scandal and the legislative behavior ofsenators is analyzed through a logistic model, both Bayesian and frequentist.The results indicate a significant relationship between being or having beeninvolved with the parapolitics scandal and the legislative behavior of thesenators from the period 2006-2010.

Bayesian modeling of the political preferences of the Colombian Senate 2006-2010: electoral behavior and parapolitics