Modeling the Impact of Border-Enforcement Measures

📖 The Scoop

Homeland Security Operational Analysis Center researchers sought to establish a causal connection between border-enforcement actions or policies and metrics that might be used to measure relevant outcomes at the border. Applying quasi-experimental methods, they investigated the impact of surveillance technology on levels of U.S. Border Patrol apprehensions of unlawful border-crossers between ports of entry along the southwest border. Their analysis offers insights into some of the effects of surveillance technology and serves as a demonstration of concept for the usefulness of such statistical methods. The most robust finding is that deploying integrated fixed towers (IFTs) is associated with decreased apprehension levels in the zones of deployment. Although the researchers emphasize ambiguity in the meaning of the results and the uncertainty in statistical inference with relatively small numbers of deployments, they concluded that there is strong evidence that some migrants were deterred from crossing surveilled areas of the border. The results are more inconclusive for the other surveillance assets-but there are suggestions that, unlike IFTs, tactical aerostat systems (TASs) (and, to a lesser extent, other technologies) elevate apprehension levels, which points to a boost to the U.S. Border Patrol's situational awareness. Statistical methods hold both promise and limitations for the study of the impact of border-enforcement measures beyond the analysis in this study. Although these methods cannot, on their own, yield clear answers in every case, they do have the potential to help operational commanders and policymakers understand and anticipate the impact and effectiveness of different border-enforcement measures.

Genre: Political Science / Security (National & International) (fancy, right?)