Are Ballot Initiative Outcomes Influenced by the Campaigns of Independent Groups? A Precinct-Randomized Field Experiment
Ballot initiatives are consequential and common, with total spending on initiative campaigns in the US rivaling that of Presidential campaigns. Observational studies using regression approaches on observational data have alternately found that initiative campaign spending cannot affect initiative outcomes, can increase the number of votes rejecting (but not approving) initiatives, or can affect outcomes in either direction. We report the first well-powered precinct-randomized field experiment to evaluate an initiative advocacy campaign. We find that campaigns can influence both rejection and approval of initiatives by changing how citizens vote, as opposed to by influencing turnout or ballot completion. Our experiment (involving around 18% of Oregon households in 2008) studied a statewide mail program conducted by a Political Action Committee. Results further suggest that two initiatives would have passed if not for the advocacy campaign to reject them. We discuss implications for theories about direct democracy, campaign finance, and campaign effects.
|Date of creation:||Nov 2012|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ksg.harvard.edu/research/working_papers/index.htm
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Xavier Gabaix & David Laibson & Guillermo Moloche & Stephen Weinberg, 2006. "Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model," American Economic Review, American Economic Association, vol. 96(4), pages 1043-1068, September.
- Thomas Stratmann, 2005. "Some talk: Money in politics. A (partial) review of the literature," Public Choice, Springer, vol. 124(1), pages 135-156, July.
- Middleton, Joel A., 2008. "Bias of the regression estimator for experiments using clustered random assignment," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2654-2659, November.
When requesting a correction, please mention this item's handle: RePEc:ecl:harjfk:rwp12-049. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.