IDEAS home Printed from https://ideas.repec.org/a/bla/kyklos/v77y2024i3p616-641.html

The election campaign for parliament in the age of the Internet

Author

Listed:
  • Raffaella Santolini

Abstract

This study examines whether the use of Internet‐based communication technologies during election campaigns helps candidates to be elected to parliament and improves their perception of being able to win national elections. Using data from the 2013 Italian Candidate Survey, estimation results show that the use of a personal website and Twitter during the electoral race significantly improves candidates' perceptions of winning nationwide election and their likelihood of being elected to parliamentary office.

Suggested Citation

  • Raffaella Santolini, 2024. "The election campaign for parliament in the age of the Internet," Kyklos, Wiley Blackwell, vol. 77(3), pages 616-641, August.
  • Handle: RePEc:bla:kyklos:v:77:y:2024:i:3:p:616-641
    DOI: 10.1111/kykl.12381
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/kykl.12381
    Download Restriction: no

    File URL: https://libkey.io/10.1111/kykl.12381?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. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LLC, vol. 3(1), pages 1-31, March.
    3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    4. Wu, De-Min, 1974. "Alternative Tests of Independence between Stochastic Regressors and Disturbances: Finite Sample Results," Econometrica, Econometric Society, vol. 42(3), pages 529-546, May.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    6. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. David Dreyer Lassen, 2005. "The Effect of Information on Voter Turnout: Evidence from a Natural Experiment," American Journal of Political Science, John Wiley & Sons, vol. 49(1), pages 103-118, January.
    8. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    9. Jerry Hausman, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    10. Uli Bernhard & Marco Dohle, 2015. "Local Politics Online: The Influence of Presumed Influence on Local Politicians’ Online Communication Activities in Germany," Local Government Studies, Taylor & Francis Journals, vol. 41(5), pages 755-773, September.
    11. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    12. 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.
    13. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LLC, vol. 7(4), pages 465-506, 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. Chen, Haiyang & Dai, Ya & Guo, David, 2023. "Financial literacy as a determinant of market participation: New evidence from China using IV-GMM," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 611-623.
    2. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    3. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    4. Kiviet, Jan F. & Pleus, Milan, 2017. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Econometrics and Statistics, Elsevier, vol. 2(C), pages 1-21.
    5. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    6. Lakka, Spyridoula & Michalakelis, Christos & Varoutas, Dimitris & Martakos, Draculis, 2012. "Exploring the determinants of the OSS market potential: The case of the Apache web server," Telecommunications Policy, Elsevier, vol. 36(1), pages 51-68.
    7. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LLC, vol. 7(4), pages 465-506, December.
    8. Osvaldo Lagares, 2016. "Capital, Economic Growth and Relative Income Differences in Latin America," Discussion Papers 16/03, Department of Economics, University of York.
    9. Das, Jayoti & De Loach, Stephen B., 2011. "Mirror, mirror on the wall: The effect of time spent grooming on earnings," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 26-34, February.
    10. Harry Patrinos & Chris Sakellariou, 2005. "Schooling and Labor Market Impacts of a Natural Policy Experiment," LABOUR, CEIS, vol. 19(4), pages 705-719, December.
    11. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    12. Bartolini, David & Ninka, Eniel & Santolini, Raffaella, 2017. "Tax Decentralisation, Labour productivity and Employment," MPRA Paper 81070, University Library of Munich, Germany.
    13. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    14. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    15. Marjan Petreski, 2013. "Overhaul of a Doctrine," Eastern European Economics, Taylor & Francis Journals, vol. 51(5), pages 46-68, September.
    16. Firmin Doko Tchatoka & Jean‐Marie Dufour, 2014. "Identification‐robust inference for endogeneity parameters in linear structural models," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 165-187, February.
    17. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LLC, vol. 3(1), pages 1-31, March.
    18. Chris Sakellariou, 2006. "Education policy reform, local average treatment effect and returns to schooling from instrumental variables in the Philippines," Applied Economics, Taylor & Francis Journals, vol. 38(4), pages 473-481.
    19. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    20. Firmin Doko Tchatoka, 2015. "On bootstrap validity for specification tests with weak instruments," Econometrics Journal, Royal Economic Society, vol. 18(1), pages 137-146, February.

    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:bla:kyklos:v:77:y:2024:i:3:p:616-641. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0023-5962 .

    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.