Regulatory Inspections Trigger Major Safety Spillovers Across Neighboring Businesses, New NBER Working Paper Reveals

Workplace safety enforcement yields far broader benefits than previously understood, according to new economic research released by the National Bureau of Economic Research (NBER). Published as Working Paper 35646 in August 2026, a groundbreaking study demonstrates that regulatory safety inspections do not merely protect workers at the targeted facility; they also trigger a significant, measurable reduction in injuries at neighboring businesses located within the same immediate geographic area.
For decades, policymakers, labor advocates, and economists evaluating the efficacy of workplace safety regulations—such as those enforced by the U.S. Occupational Safety and Health Administration (OSHA)—have focused primarily on direct outcomes. The traditional metric of regulatory success was straightforward: did an inspection reduce workplace injuries and violations inside the specific factory, warehouse, or office building that received a visit from compliance officers?
While direct compliance effects are critical, this narrow framework ignored potential externalities. Do employers in close proximity alter their safety behaviors when a nearby competitor or peer is audited? Until now, answering this empirical question posed a formidable challenge for researchers. Economists faced an intractable identification problem known as selection bias: regulators intentionally target inspections toward high-risk establishments, while neighboring businesses often face correlated local shocks—such as regional economic downturns, supply chain disruptions, or localized weather events—that independently influence injury rates. Consequently, isolating the true causal spillover effect of an inspection on adjacent firms remained elusive.
Overcoming Endogeneity Through Quasi-Random Variation
To pierce through the fog of observational confounding, the authors of NBER Working Paper 35646 leveraged a sophisticated methodological design centered on OSHA’s Site-Specific Targeting (SST) program. The SST program functions by utilizing employer-reported injury and illness data to schedule safety inspections at workplaces exhibiting elevated injury rates.
Critically for empirical research, the program establishes a clear, discrete eligibility cutoff based on these historical injury metrics. Workplaces sitting just above the threshold are designated for mandatory inspections, whereas establishments sitting just below the threshold are spared. This institutional design generates a powerful quasi-random assignment mechanism for establishments clustered right around the cutoff. Because firms just above and just below the threshold are virtually identical in their underlying operational characteristics, risk profiles, and unobserved economic environments, any divergence in subsequent safety outcomes can be attributed causally to the regulatory intervention itself.
By combining administrative OSHA inspection records with granular establishment-level health data, the researchers were able to track injury trajectories not only for the inspected facilities but also for uninspected workplaces situated in the immediate vicinity—specifically those sharing the same ZIP code.
The Magnitude of the Spillover Effect
The empirical findings upend conventional cost-benefit analyses of labor regulation. The study reveals that an OSHA inspection conducted under the SST framework precipitates an estimated 11 percent reduction in injuries at uninspected establishments located within the same ZIP code.
To contextualize this figure, an 11 percent decline in workplace injuries among neighboring firms is roughly as large as the direct effect experienced by the inspected establishment itself. When a regulatory agency audits one facility, the management of surrounding businesses appears to take urgent notice, updating their subjective assessments of enforcement risk and stepping up their own internal safety protocols.

Because these geographical spillovers fan out across multiple nearby establishments, the cumulative societal benefit dwarfs the localized impact. The research demonstrates that the indirect, spillover-driven reduction in injuries averts several times as many injuries in aggregate as the direct effect achieved within the primary target facility. In essence, a single well-targeted regulatory inspection acts as a powerful public signal, galvanizing compliance across an entire commercial cluster.
Historical Context and Evolution of OSHA Enforcement
To appreciate the gravity of these findings, it is helpful to examine the historical trajectory of U.S. workplace safety enforcement. Established by the Occupational Safety and Health Act of 1970, OSHA was charged with assuring safe and healthful working conditions for working men and women. Throughout its history, the agency has deployed a mix of standard-setting, hazard communication, education, training, and targeted inspections to compel compliance.
However, federal and state labor enforcement agencies have perennially operated under severe resource constraints. With millions of active business establishments operating across the United States, OSHA’s inspector corps has historically possessed the capacity to inspect only a tiny fraction of workplaces in any given year. This resource scarcity has fueled a continuous policy debate over the optimal allocation of inspection resources.
For decades, the dominant economic model of regulation, pioneered by economist Gary Becker and expanded upon in the context of labor standards by researchers like Wayne Gray and John Scholz, assumed that deterrence was primarily direct and localized. Regulatory agencies sought to maximize compliance by balancing the probability of an inspection against the magnitude of potential fines.
The NBER working paper fundamentally updates this economic paradigm. By demonstrating that enforcement generates substantial positive externalities through behavioral spillovers, the study suggests that traditional cost-benefit analyses have systematically undervalued regulatory oversight. If inspections create ripple effects that discipline safety practices across entire industrial parks, commercial corridors, and urban ZIP codes, the social return on investment for labor inspection programs is vastly higher than previously calculated.
Chronology and Methodological Rigor
The research project underlying Working Paper 35646 represents the culmination of years of data linkage and econometric refinement.
In the early phases of the research design, the study team mapped out the spatial distribution of OSHA inspections administered under the Site-Specific Targeting framework over multiple evaluation cycles. By restricting their sample window to establishments hovering near the SST eligibility thresholds, the authors ensured that comparison groups were balanced across observable dimensions such as industry classification, firm size, and historical wage trends.
Next, the researchers constructed spatial buffers around each inspected facility, examining injury outcomes at varying distances—from immediate adjacent property owners to wider radii within the same postal code. The empirical specification utilized difference-in-differences estimators adapted for regression discontinuity designs, allowing the authors to trace out the dynamic evolution of safety improvements over time.
The data confirms that the spillover effect is not instantaneous but materializes steadily in the months following the targeted inspection. As news of regulatory scrutiny disseminates through local business networks, trade associations, and shared commercial real estate developments, neighboring firms proactively audit their machinery, retrain personnel, and remediate known safety hazards to avert potential regulatory attention of their own.

Implications for Regulatory Policy and Future Research
The publication of NBER Working Paper 35646 arrives at a critical juncture for labor economics and regulatory governance. As federal and state agencies grapple with modernizing enforcement strategies in an era of advanced data analytics, artificial intelligence, and sophisticated compliance tracking, empirical insights into regulatory spillovers offer a clear roadmap for reform.
For regulatory bodies like OSHA, the findings validate the strategic utility of targeted, risk-based auditing frameworks like Site-Specific Targeting. Rather than relying on random spot-checks or purely complaint-driven investigations—which often react to injuries after they occur—agencies can leverage threshold-based targeting to maximize deterrence. By focusing enforcement resources on prominent facilities near risk thresholds, regulators can catalyze decentralized, voluntary safety improvements across broader business ecosystems.
Furthermore, the study speaks directly to ongoing academic discourse regarding regulatory compliance and firm behavior. Economists studying environmental regulation, financial oversight, and tax enforcement have long debated the existence of peer effects and compliance spillovers. While environmental economists have documented localized spillovers in air and water pollution monitoring, clear causal evidence from labor markets has been notably scarce. This new paper bridges that empirical gap, providing robust causal proof that managerial risk perception is highly sensitive to the regulatory experiences of local peers.
Broader Economic and Industrial Impacts
Beyond regulatory theory, the findings carry profound implications for business operations, corporate risk management, and insurance markets. Workplace injuries impose enormous direct and indirect costs on the U.S. economy, encompassing medical expenses, workers’ compensation payouts, legal liabilities, lost productivity, and diminished employee morale.
By demonstrating that targeted inspections can suppress injury rates across entire geographic clusters, the research highlights a powerful mechanism for loss prevention. Workers’ compensation insurers, who frequently price risk based on industry averages and historical loss runs, may need to incorporate spatial enforcement dynamics into their underwriting models. A business operating in a ZIP code that experiences high regulatory scrutiny may face a lower probability of workplace accidents, even if that specific firm has not been directly audited.
Conversely, industry groups and business associations may need to reevaluate how they disseminate safety best practices. The empirical evidence suggests that fear of regulatory spillover is a potent catalyst for proactive compliance. When firms realize that a neighbor’s audit signals an elevated local probability of inspection, competitive and risk-mitigation pressures combine to drive widespread operational upgrades.
As the NBER continues to release cutting-edge research across its various economic programs—ranging from labor studies to public economics and industrial organization—Working Paper 35646 stands out as a major contribution to the empirical evaluation of public policy. By solving a complex identification challenge and quantifying the expansive reach of workplace safety enforcement, the study provides policymakers with rigorous, data-driven justification for strengthening targeted regulatory oversight in the years ahead.







