This paper argues that the Economics of Crime concentrates too much on punishment as a policy to fight crime, which is unwise for several reasons. There are important instances in which punishment simply cannot reduce crime. Several feasible alternatives to punishment exist, such as offering...

Die Ökonomik der Kriminalität und die darauf aufbauende Ökonomik der Sicherheit konzentrieren sich vorwiegend auf Strafen als Mittel der Politik. Dies ist aus verschiedenen Gründen unklug. Zum einen gibt es eine Reihe von Bedingungen, unter denen Bestrafung nicht wirkt oder die Zahl der...

Behavioral economics documents the importance of status and self-image concerns in the workplace, but is largely silent about how to instrumentalize them to induce effort. Awards - widespread in the corporate sector and elsewhere - are motivators that derive their value from such social...

Research rankings based on publications and citations today dominate governance of academia. Yet they have unintended side effects on individual scholars and academic institutions and can be counterproductive. They induce a substitution of the taste for science by a taste for publication. We...

This paper argues that the 'Economics of Crime' concentrates too much on punishment as a means of preventing crime, which is unwise for several reasons. There are important instances in which punishment simply cannot reduce crime. Several feasible alternatives to punishment exist, such as...

Awards in the form of orders, medals, decorations and titles are ubiquitous in monarchies and republics, private organizations, not-for-profit and profit-oriented firms. Nevertheless, economists have disregarded this kind of non-material extrinsic incentive. The demand for awards relies on an...

Non-monetary incentives in the form of awards have so far escaped the attention of economists despite their widespread use. This paper presents an experiment conducted online at IBM to assess the impact of these kinds of extrinsic incentives. Introducing a hypothetical award has statistically...