Veto players and policy development

Alexander V. Hirsch & Kenneth W. Shotts

American Journal of Political Science2026https://doi.org/10.1111/ajps.70046article
AJG 4*ABDC A*
Weight
0.50

What the paper says

We analyze the effects of veto players when the set of available policies is not exogenously fixed, but rather determined by policy developers who work to craft new high‐quality proposals. If veto players are moderate, there is active competition between developers on both sides of the ideological spectrum. However, more extreme veto players induce asymmetric activity, as one side disengages from development. With highly extreme veto players, policy development ceases, and gridlock results. We also analyze effects on centrists' utility. Moderate veto players dampen productive policy development, and extreme ones eliminate it entirely, either of which is bad for centrists. But some effects are surprisingly positive; somewhat extreme veto players can induce policy developers who dislike the status quo to craft moderate, high‐quality proposals. Our model accounts for changing patterns of policymaking in the U.S. Senate and suggests that if polarization continues centrists will become increasingly inclined to eliminate the filibuster.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1111/ajps.70046

Or copy a formatted citation

@article{alexander2026,
  title        = {{Veto players and policy development}},
  author       = {Alexander V. Hirsch & Kenneth W. Shotts},
  journal      = {American Journal of Political Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/ajps.70046},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Veto players and policy development

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.