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Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999

Citations

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Cited by:

  1. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
  2. John M. de Figueiredo, 2009. "Integrated Political Strategy," NBER Working Papers 15053, National Bureau of Economic Research, Inc.
  3. Richard Holden & Michael Keane & Matthew Lilley, 2021. "Peer effects on the United States Supreme Court," Quantitative Economics, Econometric Society, vol. 12(3), pages 981-1019, July.
  4. Steven Brams & D. Kilgour, 2013. "Kingmakers and leaders in coalition formation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(1), pages 1-18, June.
  5. Jivas Chakravarthy, 2019. "Ideological diversity in standard setting," Review of Accounting Studies, Springer, vol. 24(1), pages 113-155, March.
  6. Pellegrina, Lucia Dalla & Garoupa, Nuno & Gómez-Pomar, Fernando, 2017. "Estimating judicial ideal points in the Spanish Supreme Court: The case of administrative review," International Review of Law and Economics, Elsevier, vol. 52(C), pages 16-28.
  7. David M Konisky & Paul Nolette, 2022. "The State of American Federalism 2021–2022: Federal Courts, State Legislatures, and the Conservative Turn in the Law," Publius: The Journal of Federalism, CSF Associates Inc., vol. 52(3), pages 353-381.
  8. Xiaohong Yu & Zhaoyang Sun, 2022. "The company they keep: When and why Chinese judges engage in collegiality," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 936-1002, December.
  9. Mason Dyana P., 2017. "Measuring Latent Constructs in Nonprofit Surveys with Item Response Theory: The Example of Political Ideology," Nonprofit Policy Forum, De Gruyter, vol. 8(1), pages 91-110, January.
  10. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2018. "Inferring hawks and doves from voting records," European Journal of Political Economy, Elsevier, vol. 51(C), pages 107-120.
  11. Daniel Lee, 2014. "Third-party threat and the dimensionality of major-party roll call voting," Public Choice, Springer, vol. 159(3), pages 515-531, June.
  12. Michael A. Bailey & Anton Strezhnev & Erik Voeten, 2017. "Estimating Dynamic State Preferences from United Nations Voting Data," Journal of Conflict Resolution, Peace Science Society (International), vol. 61(2), pages 430-456, February.
  13. UMEDA, Michio, 2023. "Aggregating qualitative district-level campaign assessments to forecast election results: Evidence from Japan," International Journal of Forecasting, Elsevier, vol. 39(2), pages 956-966.
  14. Charles M. Cameron & Jee‐Kwang Park, 2009. "How Will They Vote? Predicting the Future Behavior of Supreme Court Nominees, 1937–2006," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 6(3), pages 485-511, September.
  15. Shane A. Gleason, 2024. "Since you put it that way… Gender norms and interruptions at Supreme Court oral arguments," Social Science Quarterly, Southwestern Social Science Association, vol. 105(3), pages 582-596, May.
  16. James D. Morrow & Kevin L. Cope, 2021. "The limits of information revelation in multilateral negotiations: A theory of treatymaking," Journal of Theoretical Politics, , vol. 33(4), pages 399-429, October.
  17. Benjamin H. Barton & Emily Moran, 2013. "Measuring Diversity on the Supreme Court with Biodiversity Statistics," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(1), pages 1-34, March.
  18. Xiner Zhou & Hans-Georg Müller, 2022. "The dynamics of ideology drift among U.S. Supreme Court justices: A functional data analysis," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-21, July.
  19. Claudine Desrieux & Romain Espinosa, 2019. "Case selection and judicial decision-making: evidence from French labor courts," European Journal of Law and Economics, Springer, vol. 47(1), pages 57-88, February.
  20. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
  21. Bradley C. Smith & William Spaniel, 2020. "Introducing ν-CLEAR: a latent variable approach to measuring nuclear proficiency," Conflict Management and Peace Science, Peace Science Society (International), vol. 37(2), pages 232-256, March.
  22. Hye Young You, 2023. "Dynamic lobbying: Evidence from foreign lobbying in the U.S. Congress," Economics and Politics, Wiley Blackwell, vol. 35(2), pages 445-469, July.
  23. Paul M. Collins, 2008. "Amici Curiae and Dissensus on the U.S. Supreme Court," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 5(1), pages 143-170, March.
  24. Hinkle Rachael K. & Nelson Michael J., 2017. "How to Lose Cases and Influence People," Statistics, Politics and Policy, De Gruyter, vol. 8(2), pages 195-221, December.
  25. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Robert J. Carroll & David M. Primo & Brian K. Richter, 2016. "Using item response theory to improve measurement in strategic management research: An application to corporate social responsibility," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 66-85, January.
  26. Poole, Keith T. & Lewis, Jeffrey B. & Rosenthal, Howard & Lo, James & Carroll, Royce, 2016. "Recovering a Basic Space from Issue Scales in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i07).
  27. Jong Hee Park, 2010. "Structural Change in U.S. Presidents' Use of Force," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 766-782, July.
  28. Cheng, Cindy & Barceló, Joan & Hartnett, Allison & Kubinec, Robert & Messerschmidt, Luca, 2020. "CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic," SocArXiv dkvxy, Center for Open Science.
  29. repec:osf:socarx:wykmj_v1 is not listed on IDEAS
  30. Sara Hagemann, 2007. "Applying Ideal Point Estimation Methods to the Council of Ministers," European Union Politics, , vol. 8(2), pages 279-296, June.
  31. Heise, Michael, 2020. "Beyond replication: A few comments on Spruk and Kovac and Martin-Quinn scores," International Review of Law and Economics, Elsevier, vol. 61(C).
  32. Leighton Vaughan Williams, 2015. "Forecasting the decisions of the US Supreme Court: lessons from the ‘affordable care act’ judgment," Journal of Prediction Markets, University of Buckingham Press, vol. 9(1), pages 64-78.
  33. Paola Annoni & Nicholas Charron, 2019. "Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 31-60, January.
  34. Álvaro Bustos & Tonja Jacobi, 2014. "Strategic Judicial Preference Revelation," Journal of Law and Economics, University of Chicago Press, vol. 57(1), pages 113-137.
  35. Amaral-Garcia Sofia & dalla Pellegrina Lucia & Garoupa Nuno, 2023. "Consensus and Ideology in Courts: An Application to the Judicial Committee of the Privy Council," Review of Law & Economics, De Gruyter, vol. 19(2), pages 151-184, July.
  36. James Lo, 2018. "Dynamic ideal point estimation for the European Parliament, 1980–2009," Public Choice, Springer, vol. 176(1), pages 229-246, July.
  37. Paul H. Edelman & David E. Klein & Stefanie A. Lindquist, 2008. "Measuring Deviations from Expected Voting Patterns on Collegial Courts," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 5(4), pages 819-852, December.
  38. Arthur Dyevre & Nicolas Lampach, 2021. "Issue attention on international courts: Evidence from the European Court of Justice," The Review of International Organizations, Springer, vol. 16(4), pages 793-815, October.
  39. Guimarães, Bernardo de Vasconcellos & Salama, Bruno Meyerhof, 2017. "Contingent judicial deference: theory and application to usury laws," Textos para discussão 440, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  40. Mason Dyana P., 2015. "Advocacy in Nonprofit Organizations: A Leadership Perspective," Nonprofit Policy Forum, De Gruyter, vol. 6(3), pages 297-324, November.
  41. Anne Boring & Claudine Desrieux & Romain Espinosa, 2018. "Aspiring Top Civil Servants’ Distrust in the Private Sector," Revue d'économie politique, Dalloz, vol. 128(6), pages 1047-1087.
  42. Jule Krüger & Ragnhild Nordås, 2020. "A latent variable approach to measuring wartime sexual violence," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(6), pages 728-739, November.
  43. Rosenthal, Howard & Voeten, Erik, 2007. "Measuring legal systems," Journal of Comparative Economics, Elsevier, vol. 35(4), pages 711-728, December.
  44. Howard Rosenthal, 2018. "Introduction to the issue in honor of Keith T. Poole," Public Choice, Springer, vol. 176(1), pages 1-5, July.
  45. Yonatan Lupu & James H. Fowler, 2013. "Strategic Citations to Precedent on the U.S. Supreme Court," The Journal of Legal Studies, University of Chicago Press, vol. 42(1), pages 151-186.
  46. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2020. "Latent Causal Socioeconomic Health Index," Papers 2009.12217, arXiv.org, revised Oct 2023.
  47. Lerner, Joshua Y. & McCubbins, Mathew D. & Renberg, Kristen M., 2021. "The efficacy of measuring judicial ideal points: The mis-analogy of IRTs," International Review of Law and Economics, Elsevier, vol. 68(C).
  48. Aleksandra Conevska & Can Mutlu, 2025. "When Do Voters Stop Caring? Estimating the Shape of Voter Utility Function," Papers 2501.03196, arXiv.org, revised Feb 2025.
  49. Richard F. Potthoff, 2018. "Estimating Ideal Points from Roll-Call Data: Explore Principal Components Analysis, Especially for More Than One Dimension?," Social Sciences, MDPI, vol. 7(1), pages 1-27, January.
  50. Nuno Garoupa & Rok Spruk, 2024. "Measuring Political Institutions in the Long Run: A Latent Variable Analysis of Political Regimes, 1810–2018," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 867-914, July.
  51. Paul H. Edelman & David E. Klein & Stefanie A. Lindquist, 2012. "Consensus, Disorder, and Ideology on the Supreme Court," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(1), pages 129-148, March.
  52. Daniel Hemel, 2021. "Can Structural Changes Fix the Supreme Court?," Journal of Economic Perspectives, American Economic Association, vol. 35(1), pages 119-142, Winter.
  53. Justin Wedeking, 2010. "Supreme Court Litigants and Strategic Framing," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 617-631, July.
  54. Rorie Spill Solberg & Stefanie A. Lindquist, 2006. "Activism, Ideology, and Federalism: Judicial Behavior in Constitutional Challenges Before the Rehnquist Court, 1986–2000," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 3(2), pages 237-261, July.
  55. Stuart Minor Benjamin & Georg Vanberg, 2016. "Judicial Retirements and the Staying Power of U.S. Supreme Court Decisions," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 13(1), pages 5-26, March.
  56. Christopher Hare & Keith T. Poole, 2015. "Measuring ideology in Congress," Chapters, in: Jac C. Heckelman & Nicholas R. Miller (ed.), Handbook of Social Choice and Voting, chapter 18, pages 327-346, Edward Elgar Publishing.
  57. Iaryczower, Matias & Lewis, Garrett & Shum, Matthew, 2013. "To elect or to appoint? Bias, information, and responsiveness of bureaucrats and politicians," Journal of Public Economics, Elsevier, vol. 97(C), pages 230-244.
  58. Keren Weinshall‐Margel, 2011. "Attitudinal and Neo‐Institutional Models of Supreme Court Decision Making: An Empirical and Comparative Perspective from Israel," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(3), pages 556-586, September.
  59. Scott J. LaCombe, 2021. "Measuring Institutional Design in U.S. States," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1511-1533, July.
  60. Spruk, Rok & Kovac, Mitja, 2019. "Replicating and extending Martin-Quinn scores," International Review of Law and Economics, Elsevier, vol. 60(C).
  61. Brandon Marshall & Michael Peress, 2018. "Dynamic estimation of ideal points for the US Congress," Public Choice, Springer, vol. 176(1), pages 153-174, July.
  62. Cindy Cheng & Joan Barceló & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "COVID-19 Government Response Event Dataset (CoronaNet v.1.0)," Nature Human Behaviour, Nature, vol. 4(7), pages 756-768, July.
  63. Giansiracusa, Noah & Ricciardi, Cameron, 2019. "Computational geometry and the U.S. Supreme Court," Mathematical Social Sciences, Elsevier, vol. 98(C), pages 1-9.
  64. Chen, Daniel L. & Michaeli, Moti & Spiro, Daniel, 2016. "Ideological Perfectionism," IAST Working Papers 16-47, Institute for Advanced Study in Toulouse (IAST).
  65. Christopher Brough & Li‐Yin Liu & Yao‐Yuan Yeh, 2024. "Judicial reasoning, individual cultural types, and support for COVID‐19 vaccine mandates," Review of Policy Research, Policy Studies Organization, vol. 41(3), pages 448-470, May.
  66. Daniel W. Hill Jr., 2016. "Avoiding Obligation," Journal of Conflict Resolution, Peace Science Society (International), vol. 60(6), pages 1129-1158, September.
  67. Hausladen, Carina I. & Schubert, Marcel H. & Ash, Elliott, 2020. "Text classification of ideological direction in judicial opinions," International Review of Law and Economics, Elsevier, vol. 62(C).
  68. Sarel, Roee & Demirtas, Melanie, 2021. "Delegation in a multi-tier court system: Are remands in the U.S. federal courts driven by moral hazard?," European Journal of Political Economy, Elsevier, vol. 68(C).
  69. Joshua B. Fischman, 2015. "Do the Justices Vote Like Policy Makers? Evidence from Scaling the Supreme Court with Interest Groups," The Journal of Legal Studies, University of Chicago Press, vol. 44(S1), pages 269-293.
  70. Maxwell Mak & Andrew H. Sidman & Udi Sommer, 2013. "Is Certiorari Contingent on Litigant Behavior? Petitioners' Role in Strategic Auditing," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(1), pages 54-75, March.
  71. Kyra Gmoser‐Daskalakis & Tyler A. Scott & Mark Lubell & Francesca P. Vantaggiato, 2023. "An item response approach to sea‐level rise policy preferences in a nascent subsystem," Review of Policy Research, Policy Studies Organization, vol. 40(6), pages 972-1003, November.
  72. Krehbiel, Kieth, 2006. "Supreme Court Appointments as a Move-the-Median Game," Research Papers 1942, Stanford University, Graduate School of Business.
  73. Guimaraesy, Bernardo & Meyerhof Salama, Bruno, 2017. "Contingent judicial deference: theory and application to usury laws," LSE Research Online Documents on Economics 86146, London School of Economics and Political Science, LSE Library.
  74. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
  75. Bjørn Høyland, 2010. "Procedural and party effects in European Parliament roll-call votes," European Union Politics, , vol. 11(4), pages 597-613, December.
  76. Wessel Wijtvliet & Arthur Dyevre, 2021. "Judicial ideology in economic cases: Evidence from the General Court of the European Union," European Union Politics, , vol. 22(1), pages 25-45, March.
  77. Martin Andrew D. & Hazelton Morgan L.W., 2012. "What Political Science Can Contribute to the Study of Law," Review of Law & Economics, De Gruyter, vol. 8(2), pages 511-529, October.
  78. Tasos Kalandrakis, 2006. "Roll Call Data and Ideal Points," Wallis Working Papers WP42, University of Rochester - Wallis Institute of Political Economy.
  79. Christopher Hare & Tzu-Ping Liu & Robert N. Lupton, 2018. "What Ordered Optimal Classification reveals about ideological structure, cleavages, and polarization in the American mass public," Public Choice, Springer, vol. 176(1), pages 57-78, July.
  80. Noah Giansiracusa, 2023. "Branching on the bench: quantifying division in the supreme court with trees," Constitutional Political Economy, Springer, vol. 34(1), pages 36-58, March.
  81. F. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2019. "Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference," Papers 1911.00512, arXiv.org.
  82. Christoph Engel, 2024. "The German Constitutional Court - Activist, but not Partisan?," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2024_04, Max Planck Institute for Behavioral Economics.
  83. Steven Brams & Gustavo Camilo & Alexandra Franz, 2014. "Coalition formation on the U.S. Supreme Court: 1969–2009," Public Choice, Springer, vol. 158(3), pages 525-539, March.
  84. Yang Liu & Xiaojing Wang, 2020. "Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Theory Models," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 274-296, June.
  85. Paul M. Collins, Jr. & Wendy L. Martinek, 2011. "The Small Group Context: Designated District Court Judges in the U.S. Courts of Appeals," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(1), pages 177-205, March.
  86. Niblett, Anthony & Yoon, Albert H., 2015. "Judicial disharmony: A study of dissent," International Review of Law and Economics, Elsevier, vol. 42(C), pages 60-71.
  87. Devin Caughey & James Dunham & Christopher Warshaw, 2018. "The ideological nationalization of partisan subconstituencies in the American States," Public Choice, Springer, vol. 176(1), pages 133-151, July.
  88. Ryan C. Black & James F. Spriggs, 2013. "The Citation and Depreciation of U.S. Supreme Court Precedent," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(2), pages 325-358, June.
  89. Christopher J Fariss & James Lo, 2020. "Innovations in concepts and measurement for the study of peace and conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(6), pages 669-678, November.
  90. Scott S. Boddery, 2019. "Signals from a politicized bar: the solicitor general as a direct litigant before the U.S. Supreme Court," Constitutional Political Economy, Springer, vol. 30(2), pages 194-210, June.
  91. Adam Bonica & Adam Chilton & Jacob Goldin & Kyle Rozema & Maya Sen, 2019. "Legal Rasputins? Law Clerk Influence on Voting at the US Supreme Court," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(1), pages 1-36.
  92. Christopher Wratil & Sara B Hobolt, 2019. "Public deliberations in the Council of the European Union: Introducing and validating DICEU," European Union Politics, , vol. 20(3), pages 511-531, September.
  93. Jacobi, Tonja & Kontorovich, Eugene, 2015. "Why judges always vote," International Review of Law and Economics, Elsevier, vol. 43(C), pages 190-199.
  94. Martin, Andrew D. & Quinn, Kevin M. & Park, Jong Hee, 2011. "MCMCpack: Markov Chain Monte Carlo in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i09).
  95. René Lindstädt & Ryan Wielen, 2011. "Timely shirking: time-dependent monitoring and its effects on legislative behavior in the U.S. Senate," Public Choice, Springer, vol. 148(1), pages 119-148, July.
  96. Høyland, Bjørn & Moene, Karl & Willumsen, Fredrik, 2012. "The tyranny of international index rankings," Journal of Development Economics, Elsevier, vol. 97(1), pages 1-14.
  97. Mindock, Maxwell R. & Waddell, Glen R., 2019. "Vote Influence in Group Decision-Making: The Changing Role of Justices' Peers on the Supreme Court," IZA Discussion Papers 12317, IZA Network @ LISER.
  98. Crane, Harry, 2017. "A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 19-36.
  99. Kubinec, Robert & Owen, John, 2018. "When Groups Fall Apart: Identifying Transnational Polarization with Twitter from the Arab Uprisings," SocArXiv wykmj, Center for Open Science.
  100. Jonathan P. Kastellec & Jeffrey R. Lax, 2008. "Case Selection and the Study of Judicial Politics," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 5(3), pages 407-446, September.
  101. Lucia Dalla Pellegrina & Nuno Garoupa & Marian Gili, 2020. "Estimating Judicial Ideal Points in Bi‐Dimensional Courts: Evidence from Catalonia," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 383-415, June.
  102. Mario Quaranta, 2018. "The Meaning of Democracy to Citizens Across European Countries and the Factors Involved," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 859-880, April.
  103. Shor, Boris & McCarty, Nolan, 2010. "The Ideological Mapping of American Legislatures," Papers 8-11-2010, Princeton University, Research Program in Political Economy.
  104. Daniel Finke, 2009. "Domestic Politics and European Treaty Reform," European Union Politics, , vol. 10(4), pages 482-506, December.
  105. Keren Weinshall & Udi Sommer & Ya'acov Ritov, 2018. "Ideological influences on governance and regulation: The comparative case of supreme courts," Regulation & Governance, John Wiley & Sons, vol. 12(3), pages 334-352, September.
  106. Joshua B. Fischman, 2011. "Estimating Preferences of Circuit Judges: A Model of Consensus Voting," Journal of Law and Economics, University of Chicago Press, vol. 54(4), pages 781-809.
  107. Dalla Pellegrina Lucia & Saraceno Margherita, 2011. "Securities Class Actions: A Helping Hand for Bank Regulators in Trouble?," Review of Law & Economics, De Gruyter, vol. 7(1), pages 214-242, July.
  108. Bertomeu Juan González & Pellegrina Lucia Dalla & Garoupa Nuno, 2017. "Estimating Judicial Ideal Points in Latin America: The Case of Argentina," Review of Law & Economics, De Gruyter, vol. 13(1), pages 1-35, March.
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