A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014

References

• J.H. Albert and S. Chib, Bayesian analysis of binary and polychotomous response data, J. Am. Stat. Assoc. 88 (1993), pp. 669–679.
   Web of Science ®Google Scholar
• J.H. Aldrich, J.M. Montgomery, and D.B. Sparks, Polarization and ideology: Partisan sources of low dimensionality in scaled roll call analyses, Polit. Anal. 22 (2014), pp. 435–456.
   Web of Science ®Google Scholar
• E. Alemán, Policy positions in the chilean senate: An analysis of coauthorship and roll call data, Braz. Polit. Sci. Rev. (Online) 3 (2008), pp. 74–92.
   Google Scholar
• E. Alemán and M. Pachón, Las comisiones de conciliación en los procesos legislativos de chile y colombia, Política gob. 15 (2008), pp. 3–34.
   Google Scholar
• R.P. Archer and M.S. Shugart, The unrealized potential of presidential dominance in Colombia, in Presidentialism and Democracy in Latin America, Cambridge, Cambridge University Press, 1997, pp. 110–160.
   Google Scholar
• K. Arrow, Advances in the Spatial Theory of Voting, Cambridge, Cambridge University Press, 1990.
   Google Scholar
• K. Benoit and M. Laver, The dimensionality of political space: Epistemological and methodological considerations, Eur. Union Polit. 13 (2012), pp. 194–218.
   Web of Science ®Google Scholar
• M. Cárdenas, R. Junguito, and M. Pachón, Political institutions and policy outcomes in colombia: The effects of the 1991 constitution, in Policymaking in Latin America: How Politics Shapes Policies, Washington D.C., Inter-American Development Bank, 2008, pp. 199–242.
   Google Scholar
• R. Carroll and M. Pachón, The unrealized potential of presidential coalitions in Colombia, in Legislative Institutions and Lawmaking in Latin America, Oxford, Oxford University Press, 2016, pp. 122–147.
   Google Scholar
• J. Clinton, S. Jackman, and D. Rivers, The statistical analysis of roll call data, Am. Polit. Sci. Rev. 98 (2004), pp. 355–370.
   Web of Science ®Google Scholar
• Colprensa, El PIN cambió el nombre de su partido a opción Ciudadana. El país, 2013.
   Google Scholar
• C.E. De Vries and G. Marks, The struggle over dimensionality: A note on theory and empirics, Eur. Union Polit. 13 (2012), pp. 185–193.
   Web of Science ®Google Scholar
• K.L. Dougherty, M.S. Lynch, and A.J. Madonna, Partisan agenda control and the dimensionality of congress, Am. Polit. Res. 42 (2014), pp. 600–627.
   Web of Science ®Google Scholar
• D. Gamerman and H. Lopes, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Boca Raton, Taylor & Francis Group, 2006.
   Google Scholar
• A. Gelman, J.B. Carlin, H.S. Stern, D.B. Dunson, A. Vehtari, and D.B. Rubin, Bayesian Data Analysis, New York, Chapman and Hall/CRC, 2014.
   Google Scholar
• E.D. Hahn and R. Soyer, Probit and logit models: Differences in the multivariate realm, J. R. Stat. Soc. Ser. B 67 (2005), pp. 1–12.
   Google Scholar
• C. Hare, D.A. Armstrong, R. Bakker, R. Carroll, and K.T. Poole, Using Bayesian Aldrich-Mckelvey scaling to study citizens' ideological preferences and perceptions, Am. J. Pol. Sci. 59 (2015), pp. 759–774.
   Web of Science ®Google Scholar
• G. Hoskin, Dimensions of conflict in the colombian national legislature, in Legislative Systems in Developing Countries, Durham, Duke University Press, 1975, pp. 143–178.
   Google Scholar
• G. Hoskin, Belief systems of colombian political party activists, J. Inter. Am. Stud. World. Aff. 21 (1979), pp. 481–504.
   Google Scholar
• G. Hoskin, H.F. Kline, and F.L. Buitrago, Legislative Behavior in Colombia, Council on International Studies, Buffalo, State University of New York at Buffalo, 1976.
   Google Scholar
• G. Hoskin and G. Swanson, Inter-party competition in colombia: A return to la violencia? Am. J. Pol. Sci. 17 (1973), pp. 316–350.
   Web of Science ®Google Scholar
• S. Jackman, Multidimensional analysis of roll call data via Bayesian simulation: Identification, estimation, inference, and model checking, Polit. Anal. 9 (2001), pp. 227–241.
   Google Scholar
• S. Jackman, Bayesian analysis for political research, Annu. Rev. Polit. Sci. 7 (2004), pp. 483–505.
   Web of Science ®Google Scholar
• M.P. Jones and W. Hwang, Party government in presidential democracies: Extending cartel theory beyond the us congress, Am. J. Pol. Sci. 49 (2005), pp. 267–282.
   Web of Science ®Google Scholar
• R.E. Kass and L. Wasserman, The selection of prior distributions by formal rules, J. Am. Stat. Assoc. 91 (1996), pp. 1343–1370.
   Web of Science ®Google Scholar
• H.F. Kline, Interest groups in the colombian congress: Group behavior in a centralized, patrimonial political system, J. Inter. Am. Stud. World. Aff. 16 (1974), pp. 274–300.
   Google Scholar
• H.F. Kline, Committee membership turnover in the Colombian national congress, 1958–1974, Legis. Stud. Q. 2 (1977), pp. 29–43.
   Web of Science ®Google Scholar
• K. Krehbiel, Spatial models of legislative choice, Legis. Stud. Q. 13 (1988), pp. 259–319.
   Web of Science ®Google Scholar
• K. Krehbiel, Pivotal Politics: A Theory of US Lawmaking, Chicago, University of Chicago Press, 1998.
   Google Scholar
• C.L. Lofland, A. Rodríguez, and S. Moser, Assessing differences in legislators' revealed preferences: A case study on the 107th us senate, Ann. Appl. Stat. 11 (2017), pp. 456–479.
   Web of Science ®Google Scholar
• R.M. McDonnell, Formal comparisons of legislative institutions: Ideal points from Brazilian legislatures, Braz. Polit. Sci. Rev. 11 (2017), pp. 1–13.
   Google Scholar
• S. Moser, A. Rodríguez, and C.L. Lofland, Multiple ideal points: Revealed preferences in different domains, Polit. Anal. 29 (2021), pp. 139–166.
   Web of Science ®Google Scholar
• M.A. Newton, C. Czado, and R. Chappell, Bayesian inference for semiparametric binary regression, J. Am. Stat. Assoc. 91 (1996), pp. 142–153.
   Web of Science ®Google Scholar
• C. Osorio, Unidad nacional: crítica, pero muy útil, Congreso Visible, 2014.
   Google Scholar
• M. Pachón, ¿ qué tanta política nacional discute un congreso? una comparación de las agendas de las plenarias y comisiones posterior a la constitución de 1991, Revista latinoamericana de política comparada 4 (2011), pp. 75–98.
   Google Scholar
• M. Pachón and G.B. Johnson, When's the party (or coalition)? Agenda-setting in a highly fragmented, decentralized legislature, J. Polit. Lat. Am. 8 (2016), pp. 71–100.
   Web of Science ®Google Scholar
• M. Pachón and M. Muñoz, Policy Analysis and the Legislature in Colombia, 1st ed., Great Britain, Bristol University Press, 2020, pp. 81–98.
   Google Scholar
• C. Pereira and B. Mueller, The cost of governing: Strategic behavior of the president and legislators in Brazil's budgetary process, Comp. Polit. Stud. 37 (2004), pp. 781–815.
   Web of Science ®Google Scholar
• K.T. Poole, Nonparametric unfolding of binary choice data, Polit. Anal. 8 (2000), pp. 211–237.
   Google Scholar
• M. Potoski and J. Talbert, The dimensional structure of policy outputs: Distributive policy and roll call voting, Polit. Res. Q. 53 (2000), pp. 695–710.
   Web of Science ®Google Scholar
• P.F. Ribeiro, C.L. Burian, and F. Urdinez, Legislative behavior, mass media, and foreign policy making: The case of paraguay, Lat. Am. Res. Rev. 56 (2021), pp. 334–352.
   Web of Science ®Google Scholar
• D. Rivers, Identification of multidimensional item-response models, Typescript, Department of Political Science, Stanford University, 2003.
   Google Scholar
• J.M. Roberts, S.S. Smith, and S.R. Haptonstahl, The dimensionality of congressional voting reconsidered, Am. Polit. Res. 44 (2016), pp. 794–815.
   Web of Science ®Google Scholar
• G. Rosas, The ideological organization of Latin American legislative parties: An empirical analysis of elite policy preferences, Comp. Polit. Stud. 38 (2005), pp. 824–849.
   Web of Science ®Google Scholar
• G. Rosas, Y. Shomer, and S.R. Haptonstahl, No news is news: Nonignorable nonresponse in roll-call data analysis, Am. J. Pol. Sci. 59 (2015), pp. 511–528.
   Web of Science ®Google Scholar
• D.K. Sewell and Y. Chen, Latent space models for dynamic networks, J. Am. Stat. Assoc. 110 (2015), pp. 1646–1657.
   Web of Science ®Google Scholar
• V. Sherina, M.N. McCall, and T.M. Love, Fully bayesian imputation model for non-random missing data in qpcr, preprint (2019). Available at arXiv:1910.13936.
   Google Scholar
• J. Sosa and L. Buitrago, A review of latent space models for social networks, Rev. Colomb. Estad. 44 (2021), pp. 171–200.
   Google Scholar
• D.J. Spiegelhalter, N.G. Best, B.P. Carlin, and A. Van Der Linde, Bayesian measures of model complexity and fit, J. R. Stat. Soc. Ser. B (Stat. Methodol.) 64 (2002), pp. 583–639.
   Web of Science ®Google Scholar
• J.C. Talbert and M. Potoski, Setting the legislative agenda: The dimensional structure of bill cosponsoring and floor voting, J. Polit. 64 (2002), pp. 864–891.
   Web of Science ®Google Scholar
• T.-h. Tsai, The influence of the president and government coalition on roll-call voting in Brazil, 2003–2006, Polit. Stud. Rev. (2020). https://doi.org/10.1177/1478929920904588.
   Web of Science ®Google Scholar
• S. Watanabe, Waic and wbic are information criteria for singular statistical model evaluation, in Proceedings of the Workshop on Information Theoretic Methods in Science and Engineering, Helsinki, 2013, pp. 90–94.
   Google Scholar
• N. Wiesehomeier and K. Benoit, Presidents, parties, and policy competition, J. Polit. 71 (2009), pp. 1435–1447.
   Web of Science ®Google Scholar
• X. Yu and A. Rodriguez, Spatial voting models in circular spaces: A case study of the U.S. house of representatives (2019). Available at SSRN 3381925.
   Google Scholar
• X. Yu and A. Rodriguez, Spherical latent factor model (2019). Available at SSRN 3381925.
   Google Scholar
• A. Zellner, On assessing prior distributions and Bayesian regression analysis with g-prior distributions, in Bayesian Inference and Decision Techniques: Essays in Honor of Bruno de Finetti, Elsevier Science Publishers, Inc., New York, 1986.
   Google Scholar
• C. Zucco, Legislative coalitions in presidential systems: The case of uruguay, Lat. Am. Polit. Soc. 55 (2013), pp. 96–118.
   Web of Science ®Google Scholar
• C. Zucco and B.E. Lauderdale, Distinguishing between influences on Brazilian legislative behavior, Leg. Stud. Q. 36 (2011), pp. 363–396.
   Web of Science ®Google Scholar