IDEAS home Printed from https://ideas.repec.org/p/ifs/cemmap/16-02.html

The issue context of modern American politics: semiparametric identification of latent factors from Discrete data

Author

Listed:
  • Byron Shafer

    (Institute for Fiscal Studies)

  • Richard Spady

    (Institute for Fiscal Studies and Johns Hopkins)

Abstract

A new methodology that estimates attitudes semiparametrically and estimates actions nonparametrically, as a function of the resulting attitudinal measures, is used to examine the behavioral effects of ?ultural' and ?conomic' preferences in the Presidential elections of 1984 and 1992. The results suggest a shift toward ?ultural politics? achieved Ust among the highly educated but spreading throughout society by the later election. One consequence is that both parties are now consistent in their policy alignments?he Democrats being liberal on both scales, the Republicans conservative. Despite this aggregate consistency, different social groups are attached to the parties in dihrent ways, thereby heightening the potential for intraparty conkct while sharpening the problem of fashioning a platform that is broadly attractive. These problems, finally, express themselves very dihrently within the Democratic and the Republican parties.

Suggested Citation

  • Byron Shafer & Richard Spady, 2002. "The issue context of modern American politics: semiparametric identification of latent factors from Discrete data," CeMMAP working papers CWP16/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:cemmap:16/02
    as

    Download full text from publisher

    File URL: http://cemmap.ifs.org.uk/wps/cwp0216.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    2. McClosky, Herbert, 1964. "Consensus and Ideology in American Politics," American Political Science Review, Cambridge University Press, vol. 58(2), pages 361-382, June.
    3. repec:cup:apsrev:v:58:y:1964:i:02:p:361-382_00 is not listed on IDEAS
    4. McClosky, Herbert & Hoffmann, Paul J. & O'Hara, Rosemary, 1960. "Issue Conflict and Consensus among Party Leaders and Followers1," American Political Science Review, Cambridge University Press, vol. 54(2), pages 406-427, June.
    5. Carmines, Edward G. & Stimson, James A., 1986. "On the Structure and Sequence of Issue Evolution," American Political Science Review, Cambridge University Press, vol. 80(3), pages 901-920, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cees Van Der Eijk, 2001. "Measuring Agreement in Ordered Rating Scales," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(3), pages 325-341, August.
    2. Krause, Werner & Giebler, Heiko, 2020. "Shifting Welfare Policy Positions: The Impact of Radical Right Populist Party Success Beyond Migration Politics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 56(3), pages 331-348.
    3. Ying Cheng & Ke-Hai Yuan, 2010. "The Impact of Fallible Item Parameter Estimates on Latent Trait Recovery," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 280-291, June.
    4. Christoph Arndt, 2016. "Issue evolution and partisan polarization in a European multiparty system: Elite and mass repositioning in Denmark 1968–2011," European Union Politics, , vol. 17(4), pages 660-682, December.
    5. Alexander Robitzsch, 2024. "Bias-Reduced Haebara and Stocking–Lord Linking," J, MDPI, vol. 7(3), pages 1-12, September.
    6. Joel A. Martínez-Regalado & Cinthia Leonora Murillo-Avalos & Purificación Vicente-Galindo & Mónica Jiménez-Hernández & José Luis Vicente-Villardón, 2021. "Using HJ-Biplot and External Logistic Biplot as Machine Learning Methods for Corporate Social Responsibility Practices for Sustainable Development," Mathematics, MDPI, vol. 9(20), pages 1-16, October.
    7. Maria Wincławska & Anna Pacześniak, 2026. "Deconstructing Polish Euro‐Enthusiasm: The Illusory Incongruence of Party Narratives With Public Opinion," Politics and Governance, Cogitatio Press, vol. 14.
    8. Vitoratou, Silia & Ntzoufras, Ioannis & Moustaki, Irini, 2016. "Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions," LSE Research Online Documents on Economics 57685, London School of Economics and Political Science, LSE Library.
    9. Michela Battauz & Ruggero Bellio, 2011. "Structural Modeling of Measurement Error in Generalized Linear Models with Rasch Measures as Covariates," Psychometrika, Springer;The Psychometric Society, vol. 76(1), pages 40-56, January.
    10. Melissa Gladstone & Gillian Lancaster & Gareth McCray & Vanessa Cavallera & Claudia R. L. Alves & Limbika Maliwichi & Muneera A. Rasheed & Tarun Dua & Magdalena Janus & Patricia Kariger, 2021. "Validation of the Infant and Young Child Development (IYCD) Indicators in Three Countries: Brazil, Malawi and Pakistan," IJERPH, MDPI, vol. 18(11), pages 1-19, June.
    11. Björn Andersson & Tao Xin, 2021. "Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation," Journal of Educational and Behavioral Statistics, , vol. 46(2), pages 244-265, April.
    12. Norman Cliff, 1989. "Ordinal consistency and ordinal true scores," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 75-91, March.
    13. C. Glas & Anna Dagohoy, 2007. "A Person Fit Test For Irt Models For Polytomous Items," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 159-180, June.
    14. Michael Edwards, 2010. "A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 474-497, September.
    15. Yang Liu & Weimeng Wang, 2024. "What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data," Psychometrika, Springer;The Psychometric Society, vol. 89(2), pages 386-410, June.
    16. Yang Liu, 2020. "A Riemannian Optimization Algorithm for Joint Maximum Likelihood Estimation of High-Dimensional Exploratory Item Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 439-468, June.
    17. Cees Glas, 1988. "The derivation of some tests for the rasch model from the multinomial distribution," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 525-546, December.
    18. Begoña A. Farizo & John Joyce & Mario Soliño, 2014. "Dealing with Heterogeneous Preferences Using Multilevel Mixed Models," Land Economics, University of Wisconsin Press, vol. 90(1), pages 181-198.
    19. Christian A. Gregory, 2020. "Are We Underestimating Food Insecurity? Partial Identification with a Bayesian 4-Parameter IRT Model," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 632-655, October.
    20. Javier Revuelta, 2004. "Analysis of distractor difficulty in multiple-choice items," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 217-234, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ifs:cemmap:16/02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/cmifsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.