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Financial Firepower: School Shootings and the Strategic Contributions of Pro-Gun PACs

Author

Listed:
  • Eric A. Baldwin
  • Takuma Iwasaki
  • John J. Donohue

Abstract

Fatal school shootings often spark support for stricter gun laws, threatening the gun lobby’s influence and agenda. To prevent political fallout, do pro-gun Political Action Committees increase contributions after fatal school shootings? Leveraging a novel dataset of pro-gun PAC contributions and school shooting incidents, we implement a difference-in-differences design with staggered treatment adoption to estimate the causal effect of school shootings on contributions to House candidates. We find that pro-gun PACs increase contributions by 30.2% to candidates in districts with fatal school shootings, but show no significant response to non-fatal school shootings or other mass shootings. The temporal pattern reveals strategic behavior: contribution spikes emerge in the wake of fatal school shootings and in proximity to elections, with effects dramatically amplified as Election Day approaches; within two months of Election Day, contributions increase by 1,730%. These effects are concentrated in competitive districts (margins of 5%). Our findings provide robust evidence that pro-gun PACs deploy targeted financial contributions in response to school shootings, with the magnitude and timing suggesting a strategic counter-mobilization effort to maintain influence in affected districts when gun policy becomes locally salient and elections are near. Our findings underscore a gap in democratic accountability: while public opinion should drive policy change, organized interests with financial power can insulate political candidates from public pressure and obstruct its translation into legislative reform.

Suggested Citation

  • Eric A. Baldwin & Takuma Iwasaki & John J. Donohue, 2025. "Financial Firepower: School Shootings and the Strategic Contributions of Pro-Gun PACs," NBER Working Papers 33900, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:33900
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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • K00 - Law and Economics - - General - - - General (including Data Sources and Description)

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