Dead on Arrival : Zero Tolerance Laws Don ’ t Work

Dead on Arrival : Zero Tolerance Laws

By 1998 all states had passed laws lowering the legal blood alcohol content for drivers under 21 to effectively zero. Theory shows these laws have ambiguous effects on overall fatalities and economic efficiency, and the data show they have little effect on driver behavior. A panel analysis of the 19882000 FARS indicates that zero tolerance laws have no material influence on the level of fatalit...

Go out or stay in? The effects of zero tolerance laws on alcohol use and drinking and driving patterns among college students.

Zero tolerance laws make it illegal per se for anyone under age 21 to drive with any measurable amount of blood alcohol. Although a link has been established between zero tolerance laws and lower motor vehicle fatalities, research has not produced strong evidence on how zero tolerance laws influence individual alcohol use and drinking and driving behaviors. Using a unique data set and a differe...

Trump’s Zero-tolerance Policy: Would a Political Response to a Humanitarian Crisis Work?

INSUFFICIENT EVIDENCE TO DETERMINE EFFECTIVENESS OF THE INTERVENTION* Early Childhood Home Visitation to Prevent Intimate Partner Violence 397 Early Childhood Home Visitation to Prevent Violence

INSUFFICIENT EVIDENCE TO DETERMINE EFFECTIVENESS OF THE INTERVENTION* Bans on Specified Firearms or Ammunition 406 Acquisition Restrictions 407 Waiting Periods for Firearm Acquisition 408 Firearm Registration and Licensing of Firearm Owners 410 Shall Issue Concealed Weapons Carry Laws 411 Child Access Prevention (CAP) Laws 413 Zero Tolerance of Firearms in Schools 414 Combinations of Firearms L...

Adaptive Approximation-Based Control for Uncertain Nonlinear Systems With Unknown Dead-Zone Using Minimal Learning Parameter Algorithm

This paper proposes an adaptive approximation-based controller for uncertain strict-feedback nonlinear systems with unknown dead-zone nonlinearity. Dead-zone constraint is represented as a combination of a linear system with a disturbance-like term. This work invokes neural networks (NNs) as a linear-in-parameter approximator to model uncertain nonlinear functions that appear in virtual and act...