IDEAS home Printed from https://ideas.repec.org/a/oup/cesifo/v64y2018i2p127-149..html
   My bibliography  Save this article

Geographic Natural Experiments with Interference: The Effect of All-Mail Voting on Turnout in Colorado

Author

Listed:
  • Luke Keele
  • Rocío Titiunik

Abstract

We analyze a geographic natural experiment during the 2010 Colorado primary election in the USA, when counties in the state of Colorado had the option to have an all-mail election or retain traditional in-person voting on Election Day. The town of Basalt, in the southwestern part of the state, is split in half by two counties that chose different modes of voting. Our research design compares these two counties to understand whether turnout levels were altered by all-mail elections. Our analysis considers the possibility that social interactions may lead to spillover effects—a situation in which one unit’s outcome may be affected by the treatment received by other units. In our application, treated and control voters lived in very close proximity and spillovers are possible. Using the potential outcomes framework, we consider different estimands under the assumption that interference occurs only when treated individuals are in close geographic proximity to a sufficiently high number of control individuals. Under our assumptions, our empirical analysis suggests that all-mail voting decreased turnout in Colorado, and shows no evidence of spatial interference between voters.

Suggested Citation

  • Luke Keele & Rocío Titiunik, 2018. "Geographic Natural Experiments with Interference: The Effect of All-Mail Voting on Turnout in Colorado," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 127-149.
  • Handle: RePEc:oup:cesifo:v:64:y:2018:i:2:p:127-149.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/cesifo/ify004
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sobel, Michael E., 2006. "What Do Randomized Studies of Housing Mobility Demonstrate?: Causal Inference in the Face of Interference," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1398-1407, December.
    2. Hong, Guanglei & Raudenbush, Stephen W., 2006. "Evaluating Kindergarten Retention Policy: A Case Study of Causal Inference for Multilevel Observational Data," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 901-910, September.
    3. Tyler J. Vanderweele & Guanglei Hong & Stephanie M. Jones & Joshua L. Brown, 2013. "Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(502), pages 469-482, June.
    4. Brendan Nyhan & Christopher Skovron & Rocío Titiunik, 2017. "Differential Registration Bias in Voter File Data: A Sensitivity Analysis Approach," American Journal of Political Science, John Wiley & Sons, vol. 61(3), pages 744-760, July.
    5. Kousser, Thad & Mullin, Megan, 2007. "Does Voting by Mail Increase Participation? Using Matching to Analyze a Natural Experiment," Political Analysis, Cambridge University Press, vol. 15(4), pages 428-445.
    6. Luke Keele & Rocío Titiunik & José R. Zubizarreta, 2015. "Enhancing a geographic regression discontinuity design through matching to estimate the effect of ballot initiatives on voter turnout," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 223-239, January.
    7. Gerber, Alan S. & Green, Donald P. & Larimer, Christopher W., 2008. "Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment," American Political Science Review, Cambridge University Press, vol. 102(1), pages 33-48, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michal Engelman & Won-tak Joo & Jason Fletcher & Barry Burden, 2022. "Health, Wealth, and Voting Trajectories in Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 77(4), pages 827-837.
    2. Jardim, Ekaterina & Long, Mark C. & Plotnick, Robert & Vigdor, Jacob & Wiles, Emma, 2024. "Local minimum wage laws, boundary discontinuity methods, and policy spillovers," Journal of Public Economics, Elsevier, vol. 234(C).

    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. Laura Forastiere & Patrizia Lattarulo & Marco Mariani & Fabrizia Mealli & Laura Razzolini, 2021. "Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 244-258, January.
    2. Ethan Kaplan & Fernando Saltiel & Sergio S. Urzúa, 2019. "Voting for Democracy: Chile's Plebiscito and the Electoral Participation of a Generation," NBER Working Papers 26440, National Bureau of Economic Research, Inc.
    3. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    4. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.
    5. Chiba, Yasutaka, 2012. "A note on bounds for the causal infectiousness effect in vaccine trials," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1422-1429.
    6. Tyler J. VanderWeele, 2010. "Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data," Sociological Methods & Research, , vol. 38(4), pages 515-544, May.
    7. Silvia Noirjean & Marco Mariani & Alessandra Mattei & Fabrizia Mealli, 2020. "Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance," Papers 2011.11023, arXiv.org, revised May 2022.
    8. VanderWeele, Tyler J. & Tchetgen Tchetgen, Eric J., 2011. "Effect partitioning under interference in two-stage randomized vaccine trials," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 861-869, July.
    9. Weihua An & Tyler J. VanderWeele, 2022. "Opening the Blackbox of Treatment Interference: Tracing Treatment Diffusion through Network Analysis," Sociological Methods & Research, , vol. 51(1), pages 141-164, February.
    10. Mäkinen, Taneli & Li, Fan & Mercatanti, Andrea & Silvestrini, Andrea, 2022. "Causal analysis of central bank holdings of corporate bonds under interference," Economic Modelling, Elsevier, vol. 113(C).
    11. Tadao Hoshino & Takahide Yanagi, 2021. "Causal Inference with Noncompliance and Unknown Interference," Papers 2108.07455, arXiv.org, revised Oct 2023.
    12. Arpino, Bruno & Mattei, Alessandra, 2013. "Assessing the Impact of Financial Aids to Firms: Causal Inference in the presence of Interference," MPRA Paper 51795, University Library of Munich, Germany.
    13. Laura Forastiere & Fabrizia Mealli & Tyler J. VanderWeele, 2016. "Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 510-525, April.
    14. Robert Minton & Casey B. Mulligan, 2024. "Difference-in-Differences in the Marketplace," Finance and Economics Discussion Series 2024-008, Board of Governors of the Federal Reserve System (U.S.).
    15. C. Daniel Myers, 2016. "Participation and punishment," Journal of Theoretical Politics, , vol. 28(4), pages 537-551, October.
    16. C. Tort`u & I. Crimaldi & F. Mealli & L. Forastiere, 2020. "Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates," Papers 2003.10525, arXiv.org, revised Jun 2020.
    17. Rigdon, Joseph & Hudgens, Michael G., 2015. "Exact confidence intervals in the presence of interference," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 130-135.
    18. Xu Qin & Guanglei Hong, 2017. "A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism," Journal of Educational and Behavioral Statistics, , vol. 42(3), pages 308-340, June.
    19. VanderWeele Tyler J. & Hernan Miguel A., 2013. "Causal inference under multiple versions of treatment," Journal of Causal Inference, De Gruyter, vol. 1(1), pages 1-20, June.
    20. Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2020. "Treatment Effects With Heterogeneous Externalities," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 826-838, October.

    More about this item

    Keywords

    econometric and statistical methods; spatial models;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

    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:oup:cesifo:v:64:y:2018:i:2:p:127-149.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.