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Systemic Effects of Campaign Spending: Evidence from Corporate Contribution Bans in US State Legislatures*

Published online by Cambridge University Press:  02 September 2015

Andrew B. Hall
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Abstract

In this paper, I examine the systemic effects of campaign spending, looking at outcomes at the level of the legislature rather than the individual seat. Using a difference-in-differences design, I show that state-level corporate campaign contribution bans have a large effect on electoral outcomes at the legislature level. A 1 percentage-point increase in the Democratic (or Republican) party’s share of all contributions in an electoral cycle is estimated to increase its share of the legislature by roughly half a percentage point. Policy outcomes as well as campaign finance reforms occur at the legislature level; understanding the systemic rather than individual-level effect of campaign spending is therefore directly relevant. Aggregating estimated effects of individual-level campaign finance would not produce this same estimate owing to spillovers and other strategic dynamics. Taken together, the analyses suggest that contribution bans have important electoral effects and thus point to the systemic effects of campaign spending.

Type
Original Articles
Information
Political Science Research and Methods , Volume 4 , Issue 2 , May 2016 , pp. 343 - 359
Copyright
© The European Political Science Association 2015 

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Footnotes

*

Andrew B. Hall is the Assistant Professor in the Department of Political Science, Stanford University, 616 Serra Street, Stanford, CA 94305 ([email protected], http://www.andrewbenjaminhall.com). A previous version of this paper was presented at the 2013 Midwest Political Science Association Conference. The author acknowledges financial support from the Institute for Quantitative Social Science. For comments, the author thanks Scott Ashworth, Daniel Carpenter, James Feigenbaum, Alexander Fouirnaies, Anthony Fowler, Claudine Gay, Michael Gill, Donna Hall, Gary King, John Marshall, Stephen Pettigrew, Ken Shepsle, John Sides, Jim Snyder, and Ariel White, along with participants of the Harvard American Politics Workshop and the Harvard Graduate Student Political Economy Workshop. For data, the author thanks Jim Snyder.

References

Abramowitz, Alan I. 1988. ‘Explaining Senate Election Outcomes’. American Political Science Review 82(2):385–403.Google Scholar
Angrist, Joshua D., Imbens, Guido W., and Rubin, Donald B.. 1996. ‘Identification of Causal Effects Using Instrumental Variables’. Journal of the American Statistical Association 91(434):444–455.Google Scholar
Ansolabehere, Stephen, and Snyder, James M. Jr. 1998. ‘Money and Institutional Power’. Texas Law Review 77:1673–1704.Google Scholar
Ashworth, Scott. 2006. ‘Campaign Finance and Voter Welfare with Entrenched Incumbents’. American Political Science Review 100(1):55–68.Google Scholar
Booth, Michael. 2002. ‘Coloradans Support Limits on Political Donations’. The Denver Post, 6 November, E3.Google Scholar
Coate, Stephen. 2004. ‘Pareto-Improving Campaign Finance Policy’. American Economic Review 94(3):628–655.Google Scholar
Cooper, Michael J., Gulen, Huseyin, and Ovtchinnikov, Alexei V.. 2010. ‘Corporate Political Contributions and Stock Returns’. The Journal of Finance 65(2):687–724.Google Scholar
Dubin, Michael J. 2007. Party Affiliations in the State Legislatures: A Year by Year Summary, 1796–2006. Jefferson, North Carolina: McFarland & Company.Google Scholar
Eggers, Andrew, Fowler, Anthony, Hainmueller, Jens, Hall, Andrew B., and Snyder, James M. Jr. 2015. ‘On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: Evidence From Over 40,000 Close Races’. American Journal of Political Science 59(1):259–274.Google Scholar
Erikson, Robert S., and Palfrey, Thomas R.. 2000. ‘Equilibria in Campaign Spending Games: Theory and Data’. American Political Science Review 94(3):595–609.Google Scholar
Folke, Olle, Hirano, Shigeo, and Snyder, James M. Jr. 2011. ‘Patronage and Elections in US States’. American Political Science Review 105(3):567–585.Google Scholar
Fouirnaies, Alexander, and Hall, Andrew B.. 2014. ‘The Financial Incumbency Advantage: Causes and Consequences’. Journal of Politics 76(3):711–724.CrossRefGoogle Scholar
Gerber, Alan. 1998. ‘Estimating the Effect of Campaign Spending on Senate Election Outcomes Using Instrumental Variables’. American Political Science Review 92(2):401–411.Google Scholar
Gerber, Alan S. 2004. ‘Does Campaign Spending Work?’ American Behavioral Scientist 47(5):541–574.CrossRefGoogle Scholar
Gerber, Alan S., and Green, Donald P.. 2000. ‘The Effects of Canvassing, Telephone Calls, and Direct Mail on Voter Turnout: A Field Experiment’. American Political Science Review 94(3):653–663.CrossRefGoogle Scholar
Gerber, Alan S., Green, Donald P., and Larimer, Christopher W.. 2008. ‘Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment’. American Political Science Review 102(1):33–48.Google Scholar
Gerber, Alan S., Gimpel, James G., Green, Donald P., and Shaw, Daron R.. 2011. ‘How Large and Long-Lasting are the Persuasive Effects of Televised Campaign Ads? Results from a Randomized Field Experiment’. American Political Science Review 105(1):135–150.CrossRefGoogle Scholar
Green, Donald P., and Gerber, Alan S.. 2008. Get Out the Vote: How to Increase Voter Turnout. Washington, DC: Brookings Institution Press.Google Scholar
Green, Donald P., and Krasno, Jonathan S.. 1988. ‘Salvation for the Spendthrift Incumbent: Re-Estimating the Effects of Campaign Spending in House Elections’. American Journal of Political Science 32(4):884–907.Google Scholar
Grimmer, Justin, and Powell, Eleanor Neff. 2014. ‘Money in Exile: Campaign Contributions and Committee Access’. Working Paper, Stanford University, Stanford, CA.Google Scholar
Imbens, Guido W., and Kolesar, Michal. 2012. ‘Robust Standard Errors in Small Samples: Some Practical Advice’. Working Paper, NBER. Available at http://www.nber.org/papers/w18478CrossRefGoogle Scholar
Jacobson, Gary C. 1978. ‘The Effects of Campaign Spending in Congressional Elections’. American Political Science Review 72(2):469–491.Google Scholar
Jacobson, Gary C. 1990. ‘The Effects of Campaign Spending in House Elections: New Evidence for Old Arguments’. American Journal of Political Science 34(2):334–362.Google Scholar
Kalla, Joshua L., and Broockman, David E.. 2014. ‘Congressional Officials Grant Access Due to Campaign Contributions: A Randomized Field Experiment’. Working Paper.Google Scholar
La Raja, Raymond J., and Schaffner, Brian F.. 2014. ‘The Effects of Campaign Finance Spending Bans on Electoral Outcomes: Evidence from the States About the Potential Impact of Citizens United v. FEC’. Electoral Studies 33(1):102–114.Google Scholar
Levitt, Steven D. 1994. ‘Using Repeat Challengers to Estimate the Effect of Campaign Spending on Election Outcomes in the US House’. Journal of Political Economy 102(4):777–798.Google Scholar
Snyder, James M. Jr. 1992. ‘Long-Term Investing in Politicians; or, Give Early, Give Often’. Journal of Law & Economics 35(1):15–43.Google Scholar
Stratmann, Thomas. 2006. ‘Contribution Limits and the Effectiveness of Campaign Spending’. Public Choice 129(3–4):461–474.Google Scholar
Stratmann, Thomas, and Aparicio-Castillo, Francisco J.. 2006. ‘Competition Policy for Elections: Do Campaign Contribution Limits Matter?’ Public Choice 127(1–2):177–206.Google Scholar
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Dataset

http://dx.doi.org/10.7910/DVN/HWC6OA
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