IDEAS home Printed from https://ideas.repec.org/a/acf/journl/y2021id1809.html
   My bibliography  Save this article

Measuring Political Trust in a Modern Democracy

Author

Listed:
  • V. P. Kirilenko
  • G. V. Alekseev

Abstract

Systematic review of articles on the problem of measuring political trust published in such authoritative scientific journals as “European Political Science Review†, “British Journal of Politics and International Relations†, “Parliamentary Affairs†, “Journal of Public Policy†, “Political Science Quarterly†, “Perspectives on Politics†and “International Journal of Public Opinion Research†, demonstrates considerable attention of scientists to the problem of political trust in a modern democracy and pursues as its goal the development of a methodological basis for political trust research. The methodology of the review on the problem of measuring political trust involves a comparative analysis of the results of studies in the field of assessing political trust. Among the main tasks of the article are: generalization of scientific approaches to political trust, development of methods for political trust measurements and its result interpretation, characterization of the crisis of trust in a modern democracy. The objectives of the study include identifying conceptual scientific works of Western scientists for the period 2011–2021, which allow tracing the modernization of ideas about the object of political trust, characterize the methods of measuring the level of political trust used in modern socio-political science, and reveal differences in the formation of moral and strategic trust. The differences in moral political trust, where trusting relationships are formed on the basis of the experience and personal interaction of subjects, and strategic trust, where political culture is formed and certain expectations that political leaders will make correct, rational decisions are based on fundamental ideas about the political an order where constant change forms personal and institutional ties. Measuring political trust, which is the basis of interaction between citizens and the state, is an issue of fundamental importance for characterizing the quality of democracy, and the rule of law is impossible without a high level of political trust.

Suggested Citation

  • V. P. Kirilenko & G. V. Alekseev, 2021. "Measuring Political Trust in a Modern Democracy," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 10.
  • Handle: RePEc:acf:journl:y:2021:id:1809
    DOI: 10.22394/1726-1139-2021-10-22-34
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/1809/1486
    Download Restriction: no

    File URL: https://libkey.io/10.22394/1726-1139-2021-10-22-34?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Weible, Christopher M. & Heikkila, Tanya & Pierce, Jonathan, 2018. "Understanding rationales for collaboration in high-intensity policy conflicts," Journal of Public Policy, Cambridge University Press, vol. 38(1), pages 1-25, March.
    2. Rose, Richard & Weßels, Bernhard, 2019. "Money, Sex and Broken Promises: Politicians’ Bad Behaviour Reduces Trust," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 72(3), pages 481-500.
    3. Manski, Charles F. & Molinari, Francesca, 2010. "Rounding Probabilistic Expectations in Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 219-231.
    4. Yap, O. Fiona, 2019. "How political trust matters in emergent democracies: evidence from East and Southeast Asia," Journal of Public Policy, Cambridge University Press, vol. 39(2), pages 295-328, June.
    5. Edlund, Jonas & Lindh, Arvid, 2013. "Institutional trust and welfare state support: on the role of trust in market institutions," Journal of Public Policy, Cambridge University Press, vol. 33(3), pages 295-317, December.
    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. Gong, Yifan & Stinebrickner, Ralph & Stinebrickner, Todd, 2022. "Marriage, children, and labor supply: Beliefs and outcomes," Journal of Econometrics, Elsevier, vol. 231(1), pages 148-164.
    2. repec:zbw:bofrdp:2019_002 is not listed on IDEAS
    3. Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.
    4. Gutierrez, Italo A., 2016. "Job insecurity, unemployment insurance and on-the-job search. Evidence from older American workers," Labour Economics, Elsevier, vol. 41(C), pages 228-245.
    5. Jian Yang & Chaohua Dong & Yongjin Chen, 2021. "Government’s Economic Performance Fosters Trust in Government in China: Assessing the Moderating Effect of Respect for Authority," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 545-558, April.
    6. Alexander Zimper, 2012. "The emergence of “fifty-fifty” probability judgements in a conditional Savage world," Working Papers 291, Economic Research Southern Africa.
    7. Yves Breitmoser, 2021. "Controlling for presentation effects in choice," Quantitative Economics, Econometric Society, vol. 12(1), pages 251-281, January.
    8. Celidoni, Martina & Costa-Font, Joan & Salmasi, Luca, 2022. "Too Healthy to Fall Sick? Longevity Expectations and Protective Health Behaviours during the First Wave of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 733-745.
    9. Binder Carola Conces, 2017. "Economic policy uncertainty and household inflation uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(2), pages 1-20, June.
    10. Díaz Serrano, Lluís, 2017. "The Reliability of Students’ Earnings Expectations," Working Papers 2072/290760, Universitat Rovira i Virgili, Department of Economics.
    11. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Stefan Hoderlein & Bettina Siflinger & Joachim Winter, 2015. "Identification of structural models in the presence of measurement error due to rounding in survey responses," Boston College Working Papers in Economics 869, Boston College Department of Economics.
    13. Tullio Jappelli & Immacolata Marino & Mario Padula, 2021. "Social Security Uncertainty and Demand for Retirement Saving," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 810-834, December.
    14. Malmendier, Ulrike M. & D'Acunto, Francesco & Weber, Michael, 2020. "Gender Roles and the Gender Expectations Gap," CEPR Discussion Papers 14932, C.E.P.R. Discussion Papers.
    15. Pamela Giustinelli & Nicola Pavoni, 2017. "The Evolution of Awareness and Belief Ambiguity in the Process of High School Track Choice," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 93-120, April.
    16. Melissa Boyle & Justin Svec, 2022. "The Roundness of Antiquity Valuations from Auction Houses and Sales," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 602-630, October.
    17. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    18. Péter Hudomiet & Robert J. Willis, 2013. "Estimating Second Order Probability Beliefs from Subjective Survival Data," Decision Analysis, INFORMS, vol. 10(2), pages 152-170, June.
    19. Paul Ruud & Daniel Schunk & Joachim Winter, 2014. "Uncertainty causes rounding: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 391-413, September.
    20. Ana Beatriz Galvão & James Mitchell, 2024. "Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 81-114, February.
    21. Charles F. Manski, 2018. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 411-471.

    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:acf:journl:y:2021:id:1809. 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: Рнтонова Ð•Ð²Ð³ÐµÐ½Ð¸Ñ Ð’Ð»Ð°Ð´Ð¸Ð¼Ð¸Ñ€Ð¾Ð²Ð½Ð° (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.