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Spatial modelling of voting preferences: The “Mystery” of the Republic of Tatarstan


  • Podkolzina, Elena

    (HSE University, Moscow.)

  • Kuletskaya, Lada

    (HSE University, Moscow.)

  • Demidova, Olga

    (HSE University, Moscow.)


We argue neighbors play a crucial role in voting behavior for the main candidate in Russia. Moreover, the official status of the region and connectedness with the ruling party matter. The neighborhood effects we explain with the idea that voters base on public choices and illustrate it on the example of Privolzhskiy federal district regions with an emphasis on Tatarstan and its effect on voting on the municipal level. The Republic of Tatarstan is an interesting case also because it is the republic in Russia that has reference to sovereignty in its constitution and at the same time is loyal to the Kremlin. This paper presents a detailed spatial analysis of voters’ responses at the municipal level covering Russian presidential elections in 2018 year using the example of the Republic of Tatarstan and its surrounding regions. The preferred 2‑step OLS specification with instruments shows that Tatarstan had a strong positive effect on neighboring regions in terms of voting for the main candidate, while surrounding regions voted differently and negatively affected each other. Municipalities with better economic conditions had a negative impact on the share of votes for the main candidate and positive for the opposite.

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  • Podkolzina, Elena & Kuletskaya, Lada & Demidova, Olga, 2022. "Spatial modelling of voting preferences: The “Mystery” of the Republic of Tatarstan," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 74-96.
  • Handle: RePEc:ris:apltrx:0453

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    1. Burnett, Wesley & Lacombe, Donald J., 2012. "Accounting for Spatial Autocorrelation in the 2004 Presidential Popular Vote: A Reassessment of the Evidence," The Review of Regional Studies, Southern Regional Science Association, vol. 42(1), pages 75-89, Spring.
    2. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    3. Elinder, Mikael, 2010. "Local economies and general elections: The influence of municipal and regional economic conditions on voting in Sweden 1985-2002," European Journal of Political Economy, Elsevier, vol. 26(2), pages 279-292, June.
    4. Christa D. Jensen & Donald J. Lacombe & Stuart G. McIntyre, 2013. "A Bayesian spatial econometric analysis of the 2010 UK General Election," Papers in Regional Science, Wiley Blackwell, vol. 92(3), pages 651-666, August.
    5. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    6. Coleman, Stephen, 2018. "Voting and conformity: Russia, 1993–2016," Mathematical Social Sciences, Elsevier, vol. 94(C), pages 87-95.
    7. Coleman, Stephen, 2004. "The Effect of Social Conformity on Collective Voting Behavior," Political Analysis, Cambridge University Press, vol. 12(1), pages 76-96, January.
    8. Бородин А. Д., 2005. "Согласованность Коллективных Действий В Поведении Российских Избирателей," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 9(1).
    9. Enelow, James M. & Hinich, Melvin J., 1982. "Ideology, Issues, and the Spatial Theory of Elections," American Political Science Review, Cambridge University Press, vol. 76(3), pages 493-501, September.
    10. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    11. Rodion Skovoroda & Tomila Lankina, 2017. "Fabricating votes for Putin: new tests of fraud and electoral manipulations from Russia," Post-Soviet Affairs, Taylor & Francis Journals, vol. 33(2), pages 100-123, March.
    12. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135-135.
    13. Elena Anatolyevna Podkolzina & Olga Anatolyevna Demidova & Lada Evgenyevna Kuletskaya, 2020. "Spatial Modeling of Voting Preferences in Russian Federation," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 70-100.
    14. James Enelow & Melvin Hinich, 1989. "A general probabilistic spatial theory of elections," Public Choice, Springer, vol. 61(2), pages 101-113, May.
    15. Erikson, Robert S. & Romero, David W., 1990. "Candidate Equilibrium and the Behavioral Model of the Vote," American Political Science Review, Cambridge University Press, vol. 84(4), pages 1103-1126, December.
    16. Jessee, Stephen A., 2009. "Spatial Voting in the 2004 Presidential Election," American Political Science Review, Cambridge University Press, vol. 103(1), pages 59-81, February.
    17. Каспэ Святослав Игоревич & Алескеров Фуад Тагиевич & Маршаков Вадим Андреевич & Бородин Александр Дмитриевич & Салмин Алексей Михайлович, 2005. "Анализ Электоральных Предпочтений В России В 1993–2003 Гг. : Динамика Индекса Поляризованности," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 9(2), pages 173-184.
    18. Davis, Otto A. & Hinich, Melvin J. & Ordeshook, Peter C., 1970. "An Expository Development of a Mathematical Model of the Electoral Process," American Political Science Review, Cambridge University Press, vol. 64(2), pages 426-448, June.
    19. Cheryl Boudreau & Christopher S. Elmendorf & Scott A. MacKenzie, 2019. "Racial or Spatial Voting? The Effects of Candidate Ethnicity and Ethnic Group Endorsements in Local Elections," American Journal of Political Science, John Wiley & Sons, vol. 63(1), pages 5-20, January.
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    More about this item


    spatial autocorrelation; electoral preferences; local economic conditions; GMM; 2-step OLS; Russian 2018 presidential elections;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General


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