Spatial models of parliamentary voting

Spatial Models of Parliamentary Voting

Volumn , Issue , 2005, Pages 1-230

  Poole, Keith T ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84926221141     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511614644     Document Type: Book

References (265)

1. Abramowitz, Alan I. and Jeffrey A. Segal. 1992. Senate Elections. Ann Arbor, MI: University of Michigan Press
2. Albert, A. and J. A. Anderson. 1984. “On the Existence of Maximum Likelihood Estimates in Logistic Regression Models.” Biometrika, 71:1–10
3. Albert, James H. and Siddhartha Chib. 1993. “Bayesian Analysis of Binary and Polychotomous Response Data.” Journal of the American Statistical Association, 88:669–679
4. Aldrich, John H. and Michael D. McGinnis. 1989. “A Model of Party Constraints on Optimal Candidate Positions.” Mathematical and Computer Modeling, 12:437–450
5. Amacher, Ryan C. and William J. Boyes. 1978. “Cycles in Senatorial Voting Behavior: Implications for the Optimal Frequency of Elections.” Public Choice, 33(3): 5–13
6. Andrich, David. 1988. Rasch Models for Measurement. Newbury Park, CA: Sage
7. Andrich, David. 1995. “Hyperbolic Cosine Latent Trait Models for Unfolding Direct Responses and Pairwise Preferences.” Applied Psychological Measurement, 19:269–290
8. Ansolabehere, Stephen, James M. Snyder, Jr., and Charles Stewart, III., 2001. “Candidate Positioning in U.S. House Elections.” American Journal of Political Science, 45:136–159
9. Austen-Smith, David. 1987. “Interest Groups, Campaign Contributions, and Probabilistic Voting.” Public Choice, 54:123–139
10. Austen-Smith, David and Jeffrey S. Banks. 2000. Positive Political Theory I: Collective Preference. Ann Arbor, MI: University of Michigan Press
11. Austen-Smith, David and Jeffrey S. Banks. 2004. Positive Political Theory II: Strategy and Structure. Ann Arbor, MI: University of Michigan Press
12. Bailey, Michael. 2002. “Comparing Presidents, Senators, and Justices, 1946–2002.” Working Paper, Georgetown University
13. Bailey, Michael and Kelly Chang. 2001. “Comparing Presidents, Senators, and Justices: Inter-institutional Preference Estimation.” Journal of Law, Economics and Organization, 17:477–506
14. Bennett, Joseph F. and William L. Hays. 1960. “Multidimensional Unfolding: Determining the Dimensionality of Ranked Preference Data.” Psychometrika, 25:27–43
15. Berndt, E. K., Bronwyn H. Hall, Robert E. Hall, and Jerry Hausman. 1974. “Estimation and Inference in Nonlinear Structural Models.” Annals of Economic and Social Measurement, 3/4:653–666
16. Bernhard, William and Brian R. Sala. 2004. “The Dynamics of Senate Voting: “Ideological Shirking” and the 17th Amendment.” Paper Presented at the Annual Meetings of the Southern Political Science Association, New Orleans, LA
17. Bernhardt, M. Daniel and Daniel E. Ingberman. 1985. “Candidate Reputations and the ‘Incumbency Effect’.” Journal of Public Economics, 27:47–67
18. Best, Alvin M., Forrest W. Young, and Robert G. Hall. 1979. “On the Precision of a Euclidean Structure.” Psychometrika, 44:395–408
19. Black, Duncan. 1948. “On the Rationale of Group Decision Making.” Journal of Political Economy, 56:23–34
20. Black, Duncan. 1958. The Theory of Committees and Elections. Cambridge, England: Cambridge University Press
21. Blokland-Vogelesang, Rian van. 1991. Unfolding and Group Consensus Ranking for Individual Preferences. Leiden: DWSO Press
22. Borg, Ingwer and Patrick Groenen. 1997. Modern Multidimensional Scaling: Theory and Applications. New York: Springer
23. Brady, Henry. 1990. “Traits Versus Issues: Factor Versus Ideal-Point Analysis of Candidate Thermometer Ratings.” Political Analysis, 2:97–129
24. Brady, David W. and Craig Volden. 1998. Revolving Gridlock Politics and Policy from Carter to Clinton. Boulder, CO: Westview Press
25. Cahoon, Lawrence S. 1975. Locating a Set of Points Using Range Information Only. Ph.D. Dissertation, Department of Statistics, Carnegie-Mellon University
26. Cahoon, Lawrence S., Melvin J. Hinich, and Peter C. Ordeshook. 1976. “A Multidimensional Statistical Procedure for Spatial Analysis.” Manuscript, Carnegie-Mellon University
27. Cahoon, Lawrence S., Melvin J. Hinich, and Peter C. Ordeshook. 1978. “A Statistical Multidimensional Scaling Method Based on the Spatial Theory of Voting.” In Graphical Representation of Multivariate Data, edited by P. C.Wang. New York: Academic Press
28. Calvert, Randall. 1985. “Robustness of the MultidimensionalVoting Model: Candidates’ Motivations, Uncertainty, and Convergence.” American Journal of Political Science, 29:69–95
29. Campbell, Angus, Philip E. Converse, Warren E. Miller, and Donald E. Stokes. 1960. The American Voter. New York: Wiley
30. Carmines, Edward G. and James A. Stimson. 1989. Issue Evolution: Race and the Transformation of American Politics. Princeton, NJ: Princeton University Press
31. Carroll, J. Douglas. 1972. “Individual Differences and Multidimensional Scaling.” In Multidimensional Scaling: Theory and Applications in the Behavioral Sciences, edited by A. Kimball Romney, RogerN. Shepard, and Sara Beth Nerlove. NewYork: Seminar Press
32. Carroll, J. Douglas. 1980. “Models and Methods for Multidimensional Analysis of Preferential Choice (or Other Dominance) Data.” In Similarity and Choice, edited by E. D. Lantermann and H. Feger. Bern, Switzerland: Huber
33. Carroll, J. Douglas and Jih-Jie Chang. 1970. “Analysis of Individual Differences in Multidimensional Scaling via an N-Way Generalization of ‘Eckart–Young’ decomposition.” Psychometrika, 35:283–320
34. Chang, Jih-Jie and J. Douglas Carroll. 1969. “How to Use MDPREF, a Computer Program for Multidimensional Analysis of Preference Data.” Multidimensional Scaling Program Package of Bell Laboratories, Bell Laboratories, Murray Hill, NJ
35. Chater, Nick. 1999. “The Search for Simplicity: A Fundamental Cognitive Principle?” Quarterly Journal of Experimental Psychology, 52A:273–302
36. Cheng, Ken. 2000. “Shepard’s Universal Law Supported by Honeybees in Spatial Generalization.” Psychological Science, 5:403–408
37. Clinton, Joshua D. 2003. “Same Principals, Same Agents, Different Institutions: Roll Call Voting in the Continental Congress, Congresses of Confederation and the U.S. Senate, 1774–1786.” Working Paper, Princeton University
38. Clinton, Joshua D. and Adam H. Meirowitz. 2003. “Integrating Voting Theory and Roll-Call Analysis: A Framework.” Political Analysis, 11:381–396
39. Clinton, Joshua D. and Adam H. Meirowitz. 2004. “Testing Accounts of Legislative Strategic Voting: The Compromise of 1790.” American Journal of Political Science, 48:675–689
40. Clinton, Joshua D., Simon D. Jackman, and Douglas Rivers. 2004. “The Statistical Analysis of Roll Call Data: A Unified Approach.” American Political Science Review, 98:355–370
41. Converse, Philip E. 1964. “The Nature of Belief Systems in Mass Publics.” In Ideology and Discontent, edited by David E. Apter. New York: Free Press
42. Coombs, Clyde. 1950. “Psychological Scaling Without a Unit of Measurement.” Psychological Review, 57:148–158
43. Coombs, Clyde. 1964. A Theory of Data. New York: Wiley
44. Courant, Richard and David Hilbert. 1937. Methods of Mathematical Physics: Volume I. Berlin: Julius Springer
45. Cox, Gary W. 1999. “The Empirical Content of Rational Choice Theory: A Reply to Green and Shapiro.” Journal of Theoretical Politics, 11:147–169
46. Cox, Gary W. 2004. “Lies, Damned Lies and Rational Choice Analysis.” In Problems and Methods in the Study of Politics, edited by Ian Shapiro, Rogers M. Smith, and Tarek E. Masoud. Cambridge: Cambridge University Press
47. Cox, GaryW. and Jonathan N. Katz. 2002. Elbridge Gerry’s Salamander: The Electoral Consequences of the Reapportionment Revolution. New York: Cambridge University Press
48. Cox, Gary W. and Mathew D. McCubbins. 1993. Legislative Leviathan. Berkeley, CA: University of California Press
49. Cox, Gary W. and Mathew D. McCubbins. 2004. “Setting the Agenda: Responsible Party Government in the US House of Representatives.” Manuscript, University of California, San Diego
50. Cox, Gary W. and Keith T. Poole. 2002a. “On Measuring Partisanship in Roll Call Voting: The U.S. House of Representatives, 1877–1999.” American Journal of Political Science, 46:477–489
51. Cox, Gary W. and Keith T. Poole. 2002b. “Measuring Group Differences in Roll Call Voting.” Manuscript, University of Houston
52. Cox, Trevor F. and Michael A. A. Cox. 2001. Multidimensional Scaling. New York: Chapman and Hall/CRC
53. Cragg, John G. and Stephen G. Donald. 1997. “Inferring the Rank of a Matrix.” Journal of Econometrics, 76:223–250
54. D’Andrade, Roy G., Naomi R. Quinn, Sara Beth Nerlove, and A. Kimball Romney. 1972. “Categories of Disease in American-English and Mexican-Spanish.” In Multidimensional Scaling: Theory and Applications in the Behavioral Sciences, edited by A. Kimball Romney, Roger N. Shepard, and Sara Beth Nerlove. New York: Seminar Press
55. Davis, Otto A. and Melvin J. Hinich. 1966. “A Mathematical Model of Policy Formation in a Democratic Society.” In Mathematical Applications in Political Science, II, edited by J. L. Bernd. Dallas: SMU Press, pp. 175–208
56. Davis, Otto A. and Melvin J. Hinich. 1967. “Some Results Related to a Mathematical Model of Policy Formation in a Democratic Society.” In Mathematical Applications in Political Science III, edited by J. Bernd. Charlottesville, VA: University of Virginia Press, pp. 14–38
57. Davis, Otto A., Melvin J. Hinich, and Peter C. Ordeshook. 1970. “An Expository Development of a Mathematical Model of the Electoral Process.” American Political Science Review, 64:426–448
58. DeSarbo, Wayne S. and Jaewun Cho 1989. “A Stochastic Multidimensional Scaling Vector Threshold Model for the Spatial Representation of ‘Pick Any/N’ Data.” Psychometrika, 54:105–129
59. DeSarbo, Wayne S. and Donna L. Hoffman. 1987. “Constructin gMDSJoint Spaces from Binary Choice Data: A Multidimensional Unfolding Threshold Model for Marketing Research.” Journal of Marketing Research, 24:40–54
60. Dhrymes, Phoebus J. 1978. Introductory Econometrics. New York: Springer-Verlag
61. Diermeier, Daniel. 1996. “Rational Choice and the Role of Theory in Political Science.” In The Rational Choice Controversy, edited by Jeffrey Friedman. New Haven: Yale University Press
62. Downs, Anthony. 1957. An Economic Theory of Democracy. New York: Harper & Row
63. Eckart, Carl and Gale Young. 1936. “The Approximation of One Matrix by Another of Lower Rank.” Psychometrika, 1: 211–218
64. Efron, Bradley. 1979. “Bootstrap Methods: Another Look at the Jackknife.” Annals of Statistics, 7:1–26
65. Efron, Bradley and Robert J. Tibshirani. 1993. An Introduction to the Bootstrap. New York: Chapman & Hall
66. Ekman, Gosta. 1954. “Dimensions of Color Vision.” Journal of Psychology, 38:467–474
67. Ellenberg, Jordan. 2001. “Growing Apart: The Mathematical Evidence for Congress’ Growing Polarization.” Slate, 26 December 2001
68. Elling, Richard C. 1982. “Ideological Change in the U.S. Senate: Time and Electoral Responsiveness.” Legislative Studies Quarterly, 7(1):75–92
69. Embretson, Susan and Steven P. Reise. 2000. Item Response Theory for Psychologists. Mahwah, NJ: Lawrence Erlbaum
70. Enelow, James M. and Melvin Hinich. 1984. The Spatial Theory of Voting. New York: Cambridge University Press
71. Ennis, Daniel M. 1988a. “Confusable and Discriminable Stimuli: Comment on Nosofsky (1986) and Shepard (1986).” Journal of Experimental Psychology: General, 117:408–411
72. Ennis, Daniel M. 1988b. “Technical Comments: Toward a Universal Law of Generalization.”Science, 242:944
73. Ennis, Daniel M., Joseph J. Palen, and Kenneth Mullen. 1988. “A Multidimensional Stochastic Theory of Similarity.” Journal of Mathematical Psychology, 32:449–465
74. Feldman, Stanley and John Zaller. 1992. “Political Culture of Ambivalence: Ideological Responses to the Welfare State.” American Journal of Political Science, 36:268–307
75. Ferejohn, John and Debra Satz. 1996. “Unification, Universalism, and Rational Choice Theory.” In The Rational Choice Controversy, edited by Jeffrey Friedman. New Haven: Yale University Press
76. Ferejohn, John and Debra Satz. 2000. “Rational Choice Theory and Mental Models.” Working Paper, Stanford University
77. Feyerabend, Paul K. 1975. Against Method. London: New Left Press
78. Fiorina, Morris P. 1996. “Rational Choice, Empirical Contributions, and the Scientific Enterprise.” In The Rational Choice Controversy, edited by Jeffrey Friedman. New Haven: Yale University Press
79. Firth, David and Arthur Spirling. 2003. “Divisions of the United Kingdom House of Commons, from 1992 to 2003 and Beyond.” Working Paper, Nuffield College, Oxford
80. Fischer, Gerhard H. and Ivo W. Molenaar. 1995. Rasch Models: Foundations, Recent Developments, and Applications. New York: Springer-Verlag
81. Garner, Wendell R. 1974. The Processing of Information and Structure. New York: Wiley
82. Gelfand, Alan E. and Adrian F. M. Smith. 1990. “Sampling-Based Approaches to Calculating Marginal Densities.” Journal of the American Statistical Association, 85:398–409
83. Gelman, Andrew. 1992. “Iterative and Non-iterative Simulation Algorithms.” Computing Science and Statistics, 24:433–438
84. Gelman, Andrew, John B. Carlin, Hal S. Stern, and Donald B. Rubin. 2000. Bayesian Data Analysis. New York: Chapman and Hall/CRC
85. Geman, Donald and Stuart Geman. 1984. “Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 6:721–741
86. Gerber, Elizabeth R. and JeffreyB. Lewis. 2002. “Beyond the Median:Voter Preferences, District Heterogeneity, and Representation.” Working Paper, UCLA
87. Gifi, Albert. 1990. Nonlinear Multivariate Analysis. Chicester, England: Wiley
88. Gill, Jeff. 2002. Bayesian Methods: A Social and Behavioral Sciences Approach. Boca Raton, FL: Chapman & Hall/CRC
89. Gleason, Terry C. and Richard Staelin. 1975. “A Proposal for Handling Missing Data.” Psychometrika, 40:229–252
90. Gluck, Mark A. 1991. “Stimulus Generalization and Representation in Adaptive Network Models of Category Learning.” Psychological Science, 2:50–55
91. Gombrich, Ernst Hans. 1978. The Story of Art (13th edition). New York: Phaidon Press
92. Goodman, Craig. 2004. “Ideological Constraint in Congress: Experiments in Roll Call Voting.” Ph.D. Dissertation, University of Houston
93. Green, Donald P. and Ian Shapiro. 1994. Pathologies of Rational Choice Theory: A Critique of Applications in Political Science. New Haven: Yale University Press
94. Greene, William H. 1993. Econometric Analysis. Englewood Cliffs, NJ: Prentice Hall
95. Guttman, Louis L. 1944. “A Basis for Scaling Qualitative Data.” American Sociological Review, 9:139–150
96. Guttman, Louis L. 1954. “A New Approach to Factor Analysis.” In Mathematical Thinking in the Social Sciences, edited by P. F. Lazarsfeld. Glencoe, IL: Free Press
97. Haberman, Shelby J. 1977. “Maximum Likelihood Estimation in Exponential Response Models.” Annals of Statistics, 5:815–841
98. Hammond, Thomas H. and Jane M. Fraser. 1983. “Baselines for Evaluating Explanations of Coalition Behavior in Congress.” Journal of Politics, 45:635–656
99. Harrington, Joseph. 1992. “The Role of Party Reputation in the Formation of Policy.” Journal of Public Economics, 49:107–121
100. Hastings, W. Keith. 1970. “Monte Carlo Sampling Methods Using Markov Chains and Their Applications.” Biometrika, 54:97–109
101. Heckman, James J. and James M. Snyder. 1997. “Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators.” Rand Journal of Economics, 28:142–189
102. Heiser, Willem J. 1981. Unfolding Analysis of Proximity Data. Leiden: University of Leiden
103. Hinich, Melvin J. and Michael Munger. 1994. Ideology and the Theory of Political Choice. Ann Arbor, MI: University of Michigan Press
104. Hinich, Melvin J. and Michael Munger. 1997. Analytical Politics. New York: Cambridge University Press
105. Hinich, Melvin J. and Walker Pollard. 1981. “A New Approach to the Spatial Theory of Electoral Competition.” American Journal of Political Science, 25:323–341
106. Hinich, Melvin J. and Richard Roll. 1981. “Measuring Nonstationarity in the Parameters of the Market Model.” Research in Finance, 3:1–51
107. Hitchcock, David B. 2003. “A History of the Metropolis–Hastings Algorithm.” The American Statistician, 57:254–257
108. Hoadley, John F. 1980. “The Emergence of Political Parties in Congress, 1789–1803.” American Political Science Review, 74:757–779
109. Hoffer, Eric. 1951. The True Believer: Thoughts on the Nature of Mass Movements. New York: Harper & Row (Perennial Library Edition, 1966, 1989)
110. Hojo, Hiroshi. 1994. “A New Method for Multidimensional Unfolding.” Behaviormetrika, 21:131–147
111. Horst, Paul. 1963. Matrix Algebra for Social Scientists. New York: Holt, Rinehart and Winston
112. Hotelling, Harold. 1929. “Stability in Competition.” The Economic Journal, 39:41–57
113. Jackman, Simon D. 2000a. “Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo.” American Journal of Political Science, 44:375–404
114. Jackman, Simon D. 2000b. “Estimation and Inference are ‘Missing Data’ Problems: Unifying Social Science Statistics via Bayesian Simulation.” Political Analysis, 8:307–332
115. Jackman, Simon D. 2001. “Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, Inference and Model Checking.” Political Analysis, 9:227–241
116. Jenkins, Jeffery A. and Michael C. Munger. 2003. “Investigating the Incidence of Killer Amendments in Congress.” Journal of Politics 65:498–517
117. Jenkins, Jeffery A. and Brian R. Sala. 1998. “The Spatial Theory of Voting and the Presidential Election of 1824.” American Journal of Political Science, 42:1157–1179
118. Johnson, Richard M. 1963. “On a Theorem Stated by Eckart and Young.” Psychometrika, 28:259–263
119. Keller, Joseph B. 1962. “Factorization of Matrices by Least-Squares.” Biometrika, 49:239–242
120. Kiewiet, D. Roderick and Mathew D. McCubbins. 1991. The Logic of Delegation: Congressional Parties and the Appropriation Process. Chicago: University of Chicago Press
121. King, Gary, James Honaker, Anne Joseph, and Kenneth Scheve. 2001. “Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation.” American Political Science Review, 95:49–69
122. King, David. 1998. “Party Competition and Polarization in American Politics.” Paper Prepared for the 1998 Annual Meeting of the Midwest Political Science Association
123. Krehbiel, Keith. 1993. “Where’s the Party?” British Journal of Political Science, 23(1):235–266
124. Krehbiel, Keith. 1998. Pivotal Politics: A Theory of U.S. Lawmaking. Chicago: University of Chicago Press
125. Kruskal, Joseph B. 1964a. “Multidimensional Scaling by Optimizing a Goodness of Fit to a Non metric Hypothesis.” Psychometrika, 29:1–27
126. Kruskal, Joseph B. 1964b. “Nonmetric Multidimensional Scaling: A Numerical Method.” Psychometrika, 29:115–129
127. Kruskal, Joseph B. and Myron Wish. 1978. Multidimensional Scaling. Beverly Hills, CA: Sage
128. Kruskal, Joseph B., Forrest W. Young, and Judith B. Seery. 1973. “How to Use KYST: A Very Flexible Program to Do Multidimensional Scaling and Unfolding.” Multidimensional Scaling Program Package of Bell Laboratories, Bell Laboratories, Murray Hill, NJ
129. Kuhn, Thomas S. 1962/1996. The Structure of Scientific Revolutions (3rd edition). Chicago: University of Chicago Press
130. Ladha, Krishna K. 1991. “A Spatial Model of Legislative Voting with Perceptual Error.” Public Choice, 68:151–174
131. Laudan, Larry. 1984. Science and Values: The Aims of Science and Their Role in Scientific Debate. Berkeley, CA: University of California Press
132. Laudan, Larry. 1996. Beyond Positivism and Relativism: Theory, Method and Evidence. Boulder, CO: Westview Press
133. Lawson, Charles L. and Richard J. Hanson. 1974. Solving Least Squares Problems. Englewood Cliffs, NJ: Prentice-Hall
134. Lewis, Jeffrey B. and Gary King. 1999. “No Evidence on Directional vs. Proximity Voting.” Political Analysis, 8:21–33
135. Lewis, Jeffrey B. and Keith T. Poole. 2004. “Measuring Bias and Uncertainty in Ideal Point Estimates via the Parametric Bootstrap.” Political Analysis, 12:105–127
136. Livingstone, Margaret S. 2002. Vision and Art: The Biology of Seeing. New York: Harry N. Abrams
137. Londregan, John B. 2000a. “Estimating Legislators’ Preferred Points.” Political Analysis, 8(1):35–56
138. Londregan, John B. 2000b. Legislative Institutions and Ideology in Chile. New York: Cambridge University Press
139. Londregan, John B. and James M. Snyder, Jr. 1994. “Comparing Committee and Floor Preferences.” Legislative Studies Quarterly, 19:233–266
140. Loomis, Michael. 1995. “Constituent Influences Outside the Spatial Structure of Legislative Voting.” Doctoral Dissertation, Carnegie-Mellon University
141. Lord, Frederic M. 1983. “Unbiased Estimates of Ability Parameters, of Their Variance, and of Their Parallel Forms Reliability.” Psychometrika, 48:477–482
142. Lott, John R., Jr. and Stephen G. Bronars. 1993. “Time Series Evidence on Shirking in the U.S. House of Representatives.” Public Choice, 76:125–150
143. Lublin, David (1997). The Paradox of Representation: Racial Gerrymandering and Minority Representation in Congress. Princeton, NJ: Princeton University Press
144. Macdonald, Stuart, George Rabinowitz, and Ola Listhaug. 2001. “Sophistry versus Science: On Further Efforts to Rehabilitate the Proximity Model.” The Journal of Politics, 63:482–500
145. MacRae, Duncan, Jr. 1958. Dimensions of Congressional Voting. Berkeley: University of California Press
146. MacRae, Duncan, Jr. 1970. Issues and Parties in Legislative Voting. New York: Harper and Row
147. McCarty, Nolan M. 1997. “Presidential Reputation and the Veto.” Economics and Politics, 9(1):1–26
148. McCarty, Nolan M. 2000. “Proposal Rights, Veto Rights, and Political Bargaining.” American Journal of Political Science, 44(3):506–522
149. McCarty, Nolan M. and Keith T. Poole. 1995. “Veto Power and Legislation: An Empirical Analysis of Executive and Legislative Bargaining from 1961–1986.” Journal of Law, Economics, and Organization, 11:
150. McCarty, Nolan M, Keith T. Poole, and Howard Rosenthal. 1997. Income Redistribution and the Realignment of American Politics. Washington, DC: AEI Press
151. McCarty, Nolan M., Keith T. Poole, and Howard Rosenthal. 2001. “The Hunt for Party Discipline in Congress.” American Political Science Review, 95:673–687
152. McCarty, Nolan M., Keith T. Poole, and Howard Rosenthal. 2003. “Political Polarization and Income Inequality.” Manuscript, University of Houston
153. McCarty, Nolan M. and Lawrence S. Rothenberg (1996). “Commitment and the Campaign Contribution Contract.” American Journal of Political Science, 40:872–904
154. McCarty, Nolan M. and Rose Razaghian. 1999. “Advice and Consent: Senate Response to Executive Branch Nominations 1885–1996.” American Journal of Political Science, 43(3):1122–1143
155. McFadden, Daniel. 1976. “Quantal Choice Analysis: A Survey.” Annals of Economic and Social Measurement, 5:363–390
156. Manski, Charles F. 1975. “Maximum Score Estimation of the Stochastic Utility Model of Choice.” Journal of Econometrics, 3:205–228
157. Manski, Charles F. 1985. “Semiparametric Analysis of Discrete Response: Asymptotic Properties of the Maximum Score Estimator.” Journal of Econometrics, 27:313–333
158. Manski, Charles F. and T. Scott Thompson. 1986. “Operational Characteristics of Maximum Score Estimation.” Journal of Econometrics, 32:85–108
159. Martin, Andrew D. 2003. “Bayesian Inference for Heterogeneous Event Counts.” Sociological Methods and Research, 32:30–63
160. Martin, Andrew D. and Kevin M. Quinn. 2001. “Bayesian Learning about Ideal Points of U. S. Supreme Court Justices, 1953–1999.” Working Paper, Washington University, St. Louis
161. Martin, Andrew D. and Kevin M. Quinn. 2002. “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999.” Political Analysis, 10:134–153
162. Merrill, Samuel III and Bernard Grofman. 1999. A Unified Theory of Voting: Directional and Proximity Models. New York: Cambridge University Press
163. Metropolis, Nicholas C. and Stanislaw Ulam. 1949. “The Monte Carlo Method.” Journal of the American Statistical Association, 44:335–341
164. Miller, George A. 1956. “The Magical Number Seven, Plus Minus One: Some Limits on our Capacity for Processing Information.” Psychological Review, 63:81–97
165. Morgenstern, Scott. 2004. Patterns of Legislative Politics: Roll-Call Voting in Latin America and the United States. New York: Cambridge University Press
166. Morrison, Richard J. 1972. “A Statistical Model for Legislative Roll Call Analysis.” Journal of Mathematical Sociology, 2:235–247
167. Morton, Rebecca B. 1987. “A Group Majority Voting Model of Public Good Provision.” Social Choice and Welfare, 4:117–131
168. Neyman, Jerzy and Elizabeth L. Scott. 1948. “Consistent Estimates Based on Partially Consistent Observations.” Econometrica, 16:1–32
169. Nie, Norman H., Sidney Verba, and John R. Petrocik. 1979. The Changing American Voter. New York: Replica Books
170. Nokken, Timothy P. 2000. “Dynamics of Congressional Loyalty: Party Defection and Roll Call Behavior, 1947–1997.” Legislative Studies Quarterly, 25:417–444
171. Nokken, Timothy P. and Keith T. Poole. 2004. “Congressional Party Defection in American History.” Legislative Studies Quarterly, forthcoming
172. Nosofsky, Robert M. 1984. “Choice, Similarity, and the Context Theory of Classification.” Journal of Experimental Psychology: Learning, Memory and Cognition, 10:104–114
173. Nosofsky, Robert M. 1986. “Attention, Similarity, and the Identification–Categorization Relationship.” Journal of Experimental Psychology: General, 115:39–57
174. Nosofsky, Robert M. 1988. “On Exemplar-Based Exemplar Representations: Reply to Ennis (1988).” Journal of Experimental Psychology: General, 117:412–414
175. Nosofsky, Robert M. 1991. “Stimulus Bias, Asymmetric Similarity, and Classification.” Cognitive Psychology, 23:94–140
176. Nosofsky, Robert M. 1992. “Similarity Scaling and Cognitive Process Models.” Annual Review of Psychology, 43:25–53
177. Oppenheimer, Bruce I. 2000. “The Roll Call Behavior of Members Who Switch Parties, 1900–99: The Effect of Variations in Party Strength.” Paper Presented at the Annual Meeting of the Midwest Political Science Association, Chicago
178. Ordeshook, Peter C. 1976. “The Spatial Theory of Elections: A Review and a Critique.” In Party Identification and Beyond, edited by Ian Budge, Ivor Crewe, and Dennis Farlie. New York: Wiley
179. Ordeshook, Peter C. 1996. “Engineering or Science: What is the Study of Politics?” In The Rational Choice Controversy, edited by Jeffrey Friedman. New Haven: Yale University Press
180. Palfrey, Thomas R. 1984. “Spatial Equilibrium with Entry.” Review of Economic Studies, 51:139–157
181. Perlstein, Rick. 2001. Before the Storm: Barry Goldwater and the Unmaking of the American Consensus. New York: Hill and Wang
182. Platt, Glenn, Keith T. Poole, and Howard Rosenthal. 1992. “Directional and Euclidean Theories of Voting Behavior: A Legislative Comparison.” Legislative Studies Quarterly, 17:561–572
183. Poole, Keith T. 1981. “Dimensions of Interest Group Evaluations of the U.S. Senate, 1969–1978.” American Journal of Political Science, 25(1):49–67
184. Poole, Keith T. 1984. “Least Squares Metric, Unidimensional Unfolding.” Psychometrika, 49:311–323
185. Poole, Keith T. 1988. “Recent Developments in Analytical Models of Voting in the U.S. Congress.” Legislative Studies Quarterly, 13:117–133
186. Poole, Keith T. 1990. “Least Squares Metric, Unidimensional Scaling of Multivariate Linear Models.” Psychometrika, 55:123–149
187. Poole, Keith T. 1997. “Non-parametric Analysis of Binary Choice Data.” Manuscript, University of Houston
188. Poole, Keith T. 1998. “Recovering a Basic Space From a Set of Issue Scales.” American Journal of Political Science, 42:954–993
189. Poole,Keith T. 1999. “NOMINATE: A Short Intellectual History.” The Political Methodologist, 9:1–6
190. Poole, Keith T. 2000a. “Non-parametric Unfolding of Binary Choice Data.” Political Analysis, 8(3):211–237
191. Poole, Keith T. 2000b. “Appendix to Non-parametric Unfolding of Binary Choice Data.” Manuscript, University of Houston
192. Poole, Keith T. 2001. “The Geometry of Multidimensional Quadratic Utility in Models of Parliamentary Roll Call Voting.” Political Analysis, 9(3):211–226
193. Poole, Keith T. 2003. “Changing Minds? Not in Congress!” Manuscript, University of Houston
194. Poole, Keith T. and Thomas Romer. 1993. “Ideology, Shirking and Representation.” Public Choice, 77:185–196
195. Poole, Keith T. and Howard Rosenthal. 1984a. “U.S. Presidential Elections 1968–1980: A Spatial Analysis.” American Journal of Political Science, 28:282–312
196. Poole, Keith T. and Howard Rosenthal. 1984b. “The Polarization of American Politics.” Journal of Politics, 46:1061–1079
197. Poole, Keith T. and Howard Rosenthal. 1985. “A Spatial Model for Legislative Roll Call Analysis.” American Journal of Political Science, 29:357–384
198. Poole, Keith T. and Howard Rosenthal. 1987. “Analysis of Congressional Coalition Patterns: A Unidimensional Spatial Model.” Legislative Studies Quarterly, 12:55–75
199. Poole, Keith T. and Howard Rosenthal. 1991. “Patterns of Congressional Voting.” American Journal of Political Science, 35:228–278
200. Poole, Keith T. and Howard Rosenthal. 1997. Congress: A Political–Economic History of Roll Call Voting. New York: Oxford University Press
201. Poole, Keith T. and Howard Rosenthal. 2001. “D-NOMINATE After 10 Years: A Comparative Update to Congress: A Political–Economic History of Roll Call Voting.”Legislative Studies Quarterly, 26:5–26
202. Poole, Keith T., Fallaw B. Sowell, and Stephen E. Spear. 1992. “Evaluating Dimensionality in Spatial Voting Models.” Mathematical and Computer Modeling, 16: 85–101
203. Quinn, Kevin M. 2004. “Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses.” Political Analysis, 12:338–353
204. Quinn, Kevin M. and Andrew D. Martin. 2002. “An Integrated Computational Model of Multiparty Electoral Competition.” Statistical Science, 17:405–419
205. Quinn, Kevin M., Andrew D. Martin, and Andrew B. Whitford. 1999. “Voter Choice in Multi-party Democracies: A Test of Competing Theories and Models.” American Journal of Political Science, 43:1231–1247
206. Rabinowitz, George. 1976. “A Procedure for Ordering Object Pairs Consistent with the Multidimensional Unfolding Model.” Psychometrika, 45:349–373
207. Rabinowitz, George and Stuart Macdonald. 1989. “A Directional Theory of Issue Voting.” American Political Science Review, 83:93–121
208. Rasch, Georg. 1961. “On General Laws and the Meaning of Measurement in Psychology.” In Proceedings of the IV Berkeley Symposium on Mathematical Statistics and Probability, vol. 4, pp. 321–333
209. Riker, William H. 1982/1988. Liberalism Against Populism: A Confrontation Between the Theory of Democracy and the Theory of Social Choice. Prospect Heights, IL: Waveland Press
210. Rivers, Douglas. 2004. “Identification of Multidimensional Spatial Voting Models.” Manuscript, Stanford University
211. Romano, Roberta. 1997. “The Political Dynamics of Derivative Securities Regulation.” Yale Journal on Regulation, 14:279–406
212. Rosenberg, Seymour, Carnot Nelson, and P. S. Vivekananthan. 1968. “A Multidimensional Approach to the Structure of Personality Impressions.” Journal of Personality and Social Psychology, 9:283–294
213. Rosenthal, Howard and Erik Voeten. 2004. “Analyzing Roll Calls with Perfect Spatial Voting: France 1946–1958.” American Journal of Political Science, 48:620–632
214. Ross, John and Norman Cliff. 1964. “A Generalization of the Interpoint Distance Model.” Psychometrika, 29:167–176
215. Rothenberg, Lawrence S. and Mitchell S. Sanders. 2000. “Severing the Electoral Connection: Shirking in the Contemporary Congress.” American Journal of Political Science, 44:316–325
216. Rothkopf, Ernst Z. 1957. “A Measure of Stimulus Similarity and Errors in Some Paired-Associate Learning Tasks.” Journal of Experimental Psychology, 53:94–101
217. Ruger, Theodore W., Pauline T. Kim, Andrew D. Martin, and Kevin M. Quinn. 2004. “The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decision-Making.” Columbia Law Review, 104:1150–1209
218. Schofield, Norman. 1996. “Rational Choice Theory and Political Economy.” In The Rational Choice Controversy, edited by Jeffrey Friedman. New Haven: Yale University Press
219. Schofield, Norman, Andrew D. Martin, Kevin M. Quinn, and Andrew B. Whitford. 1998. “Multiparty Electoral Competition in the Netherlands and Germany: A Model Based on Multinomial Probit.” Public Choice, 97:257–293
220. Schonemann, Peter H. 1966. “A Generalized Solution of the Orthogonal Procrustes Problem.” Psychometrika, 31:1–10
221. Schonemann, Peter H. 1970. “Fitting a Simplex Symmetrically.” Psychometrika, 35: 1–21
222. Schonemann, Peter H. and Robert M. Carroll. 1970. “Fitting One Matrix to Another Under Choice of a Central Dilation and Rigid Motion.” Psychometrika, 35:245–256
223. Schonhardt-Bailey, Cheryl. 2003. “Ideology, Party and Interests in the British Parliament of 1841–1847,” British Journal of Political Science, 33:581–605
224. Schonhardt-Bailey, Cheryl. 2004. Interests, Ideas and Institutions: Repeal of the Corn Laws Re-told. Manuscript, London School of Economics and Political Science
225. Sen, Amartya K. 1970. Collective Choice and Social Welfare. San Francisco, CA: Holden-Day
226. Shepard, Roger N. 1962a. “The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. I.” Psychometrika, 27:125–139
227. Shepard, Roger N. 1962b. “The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. II.” Psychometrika, 27: 219–246
228. Shepard, Roger N. 1963. “Analysis of Proximities as a Technique for the Study of Information Processing in Man.” Human Factors, 5:33–48
229. Shepard, Roger N. 1986. “Discrimination and Generalization in Identification and Classification: Comment on Nosofsky.” Journal of Experimental Psychology: General, 115:58–61
230. Shepard, Roger N. 1987. “Toward a Universal Law of Generalization for Psychological Science.” Science, 237:1317–1323
231. Shepard, Roger N. 1988a. “Technical Comments: Toward a Universal Law of Generalization.” Science, 242:944
232. Shepard, Roger N. 1988b. “Time and Distance in Generalization and Discrimination: Reply to Ennis (1988).” Journal of Experimental Psychology: General, 117:415–416
233. Shepard, Roger N. 1991. “Integrality Versus Separability of Stimulus Dimensions: Evolution of the Distinction and a Proposed Theoretical Basis.” In Perception of Structure, edited by James R. Pomerantz and Gregory Lockhead. Washington, DC: APA
234. Shepsle, Kenneth A. 1996. “Statistical Political Philosophy and Positive Political Theory.” In The Rational Choice Controversy, edited by Jeffrey Friedman.New Haven: Yale University Press
235. Shipan, Charles R. and Bryon Moraski. 1999. “The Politics of Supreme Court Nominations: A Theory of Institutional Constraints and Choices.” American Journal of Political Science, 43:1069–1095
236. Silvapulle, Mervyn J. 1981. “On the Existence of Maximum Likelihood Estimators for the Binomial Response Models.” Journal of the Royal Statistical Society Series B, 43(3):310–313
237. Simmons, George F. 1972. Differential Equations with Applications and Historical Notes. New York: McGraw-Hill
238. Smithies, Arthur. 1941. “Optimum Location in Spatial Competition.” The Journal of Political Economy, 49:423–439
239. Snyder, James M., Jr. 1992. “Artificial Extremism in Interest Group Ratings.” Legislative Studies Quarterly, 17:319–345
240. Snyder, James M., Jr., and Timothy Groseclose. 2000. “Estimating Party Influence in Congressional Roll-Call Voting.” American Journal of Political Science, 44(2):193–211
241. Sowell, Thomas. 1987. A Conflict of Visions: Ideological Origins of Political Struggles. New York: Quill
242. Spector, David. 2000. “Rational Debate and One-Dimensional Conflict.” Quarterly Journal of Economics, 115:181–200
243. Stratmann, Thomas. 2000. “Congressional Voting Over Legislative Careers: Shifting Positions and Changing Constraints.” The American Political Science Review, 94:665–676
244. Tajfel, Henri. 1981. Human Groups and Social Categories. London: Cambridge University Press
245. Thomas, Martin. 1985. “Election Proximity and Senatorial Roll Call Voting.” American Journal of Political Science, 29(1):96–111
246. Torgerson, Warren S. 1952. “Multidimensional Scaling: I. Theory and Method.” Psychometrika, 17:401–419
247. Treier, Shawn and Simon Jackman. 2003. “Democracy as a Latent Variable.” Manuscript, Stanford University
248. Tucker, Ledyard R. 1960. “Intra-individual and Inter-individual Multidimensionality.” In Psychological Scaling: Theory and Applications, edited by Harold Gulliksen and Samuel Messick. New York: Wiley
249. Tversky, Amos. 1977. “Features of Similarity.” Psychological Review, 84:327–352
250. Voeten, Erik. 2000. “Clashes in the Assembly.” International Organization, 54:185–215
251. Voeten, Erik. 2001. “Outside Options and the Logic of Security Council Action.” The American Political Science Review, 95:845–858
252. Voeten, Erik. 2004. “Resisting the Lonely Superpower: Responses of States in the U.N. to U.S. Dominance.” Journal of Politics, 66:729–754
253. Wang, Ming-Mei, Peter H. Schonemann, and Jerrold G. Rusk. 1975. “A Conjugate Gradient Algorithm for the Multidimensional Analysis of Preference Data.” Multivariate Behavioral Research, 10:45–80
254. Weisberg, Herbert F. 1968. Dimensional Analysis of Legislative Roll Calls. Doctoral Dissertation, University of Michigan
255. Weisberg, Herbert F. 1978. “Evaluating Theories of Congressional Roll-Call Voting.” American Journal of Political Science, 22:551–577
256. Weisberg, Herbert F. 1983. “Alternative Baseline Models and Their Implications for Understanding Coalition Behavior in Congress.” Journal of Politics, 45:657–671
257. Weisberg, Herbert F. and Jerrold G. Rusk. 1970. “Dimensions of Candidate Evaluation.” American Political Science Review, 64:1167–1185
258. Wills, Garry. 1982. The Federalist Papers by Alexander Hamilton, James Madison, and John Jay. New York: Bantam Books
259. Wish, Myron. 1971. “Individual Differences in Perceptions and Preferences Among Nations.” In Attitude Research Reaches New Heights, edited by CharlesW. King and Douglas J. Tigert. Chicago: American Marketing Association
260. Wish, Myron and J. Douglas Carroll. 1974. “Applications of Individual Differences Scaling to Studies of Human Perception and Judgment.” In Handbook of Perception, vol. 2, edited by Edward C. Carterette and Morton P. Friedman. New York: Academic Press
261. Wittman, Donald A. 1977. “Candidates with Policy Preferences: A Dynamic Model.” Journal of Economic Theory, 14:180–189
262. Wittman, Donald A. 1983. “Candidate Motivations: A Synthesis of Alternatives.” American Political Science Review, 77:142–157
263. Wright, Gerald C. and Michael B. Berkman. 1986. “Candidates and Policy in United States Senate Elections.” American Political Science Review, 80(2):567–588
264. Wright, Gerald C. and Brian F. Schaffner. 2002. “The Influence of Party: Evidence from the State Legislatures.” American Political Science Review, 96:367–379
265. Young, Gale and A. S. Householder. 1938. “Discussion of a Set of Points in Terms of their Mutual Distances.” Psychometrika, 3:19–22