Criminal law enforcement depends on the actions of public agents such as police officers, but the resulting agency problems have been neglected in the law and economics literature (especially outside the specific context of corruption). We develop an agency model of police behavior that...

Research in criminology has shown that the perceived risk of apprehension often differs substantially from the true level. To account for this insight, we extend the standard economic model of law enforcement (Becker, 1968) by considering two types of offenders, sophisticates and naïves. The...

Growing controversy surrounds the impact of labor unions on law enforcement behavior. Critics argue that unions impede organizational reform and insulate officers from discipline for misconduct. Yet collective bargaining tends to increase wages, which could improve officer behavior. We provide...

This paper studies how punishment for past offenses affects future compliance behavior and isolates deterrence effects mediated by learning. Using administrative data from speed cameras that capture the full driving histories of more than a million cars over several years, we evaluate responses...

We study the impact on road safety of one-day massive speed limit monitoring operations (SLMO) accompanied by media campaigns that announce the SLMO and provide information on the dangers of speeding. Using register data on the universe of police reported accidents in a generalized...

We conduct a field experiment to examine whether the deterrent effect of law enforcement can be strengthened by making law enforcement activities more salient. Our focus is on illegal disposal of household garbage in residential areas. At a random subset of 56 locations in a city in the...

This paper studies how the swiftness and delay of punishment affect behavior. Using rich administrative data from automated speed cameras, we exploit two (quasi-)experimental sources of variation in the time between a speeding offense and the sending of a ticket. At the launch of the speed...

In this paper, we employ a registry of legal insider trading for Dutch listed firms to investigate the information content of trades by corporate insiders. Using a standard event-study methodology, we examine short-term stock price behavior around trades. We find that purchases are followed by...

This paper examines the relationship between aggregate insider trading (AIT) and stock market volatility using monthly data on insider transactions by UK executives in public limited companies for the period January 2002 - December 2020. More specifically, a Vector Autoregression (VAR) model is...