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Objectives <p> The New York City Police Department’s Summer All Out (SAO) was a recurring, presence-based foot-patrol initiative non-randomly deployed to precincts between 2014 and 2019. Using both two-way fixed effects (TWFE) and a novel matching and weighting estimator (<i>PanelMatch</i>),we assess whether the SAO deployment influenced a variety of crime outcomes.</p> Methods <p> Since the treatment pattern varies over time intermittently, we analyze a 10-year precinct-month-year panel using TWFE, a difference-in-differences (DiD) methodology. We then expand with Imai et al.’s (2023) <i>PanelMatch</i>, a causal inference estimator never before used in this field, which selects and reweights control units based on similarity in pretreatment crime trajectories and precinct level covariates, thereby addressing endogenous targeting of precincts and evolving group composition over time. </p> Results <p> TWFE estimates suggest SAO was associated with increases in violent crime, while property crime shows no detectable change. When applying<i>PanelMatch</i>, which employs propensity-score matching and weighting, and used lagged outcomes and precinct covariates in the refinement process, these effects attenuate toward zero. We find no statistically significant impact of SAO foot deployments on violent or property crime. These results persist with robustness checks using different crime types, including alternative functional forms. The divergence between TWFE and <i>PanelMatch</i> results is consistent with a scenario where SAO officers were assigned to precincts experiencing short-term crime surges.</p> Conclusions <p> The divergence between the results of a more traditional TWFE and the novel <i>PanelMatch</i>analysis suggest that evaluations of episodic, repeatedly targeted interventions should account for endogenous assignment using designs that leverage pretreatment outcome histories. Substantively, SAO’s presence-based foot patrols did not measurably reduce violent or property crime on average—reallocating officers for fixed deployments within large jurisdictions may not yield general deterrent effects. </p>

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Using PanelMatch to Estimate the Causal Effects of Police Interventions with Irregular Treatment Patterns: An Assessment of the NYPD’s Summer All Out, 2014–2019

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月3日

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  • Thomas J. Bilach,
  • Sean Patrick Roche

摘要

Objectives

The New York City Police Department’s Summer All Out (SAO) was a recurring, presence-based foot-patrol initiative non-randomly deployed to precincts between 2014 and 2019. Using both two-way fixed effects (TWFE) and a novel matching and weighting estimator (PanelMatch),we assess whether the SAO deployment influenced a variety of crime outcomes.

Methods

Since the treatment pattern varies over time intermittently, we analyze a 10-year precinct-month-year panel using TWFE, a difference-in-differences (DiD) methodology. We then expand with Imai et al.’s (2023) PanelMatch, a causal inference estimator never before used in this field, which selects and reweights control units based on similarity in pretreatment crime trajectories and precinct level covariates, thereby addressing endogenous targeting of precincts and evolving group composition over time.

Results

TWFE estimates suggest SAO was associated with increases in violent crime, while property crime shows no detectable change. When applyingPanelMatch, which employs propensity-score matching and weighting, and used lagged outcomes and precinct covariates in the refinement process, these effects attenuate toward zero. We find no statistically significant impact of SAO foot deployments on violent or property crime. These results persist with robustness checks using different crime types, including alternative functional forms. The divergence between TWFE and PanelMatch results is consistent with a scenario where SAO officers were assigned to precincts experiencing short-term crime surges.

Conclusions

The divergence between the results of a more traditional TWFE and the novel PanelMatchanalysis suggest that evaluations of episodic, repeatedly targeted interventions should account for endogenous assignment using designs that leverage pretreatment outcome histories. Substantively, SAO’s presence-based foot patrols did not measurably reduce violent or property crime on average—reallocating officers for fixed deployments within large jurisdictions may not yield general deterrent effects.