In this paper, we focus on the problem created by asymmetric information about the enforcer's (agent's) costs associated to enforcement expenditure. This adverse selection problem affects optimal law enforcement because a low cost enforcer may conceal its information by imitating a high cost...

Among economists it is widely believed that high tax rates and ineffective tax collection by the government are the main causes contributing to the rise of the informal economy. Economists have already established two relationships, at least empirically demonstrated, between tax rates and tax...

This chapter surveys the theory of the public enforcement of law—the use of governmental agents (regulators, inspectors, tax auditors, police, prosecutors) to detect and to sanction violators of legal rules. The theoretical core of the analysis addresses the following basic questions: Should...

This entry for the forthcoming The New Palgrave Dictionary of Economics (Second Edition) surveys the economic analysis of public enforcement of law — the use of public agents (inspectors, tax auditors, police, prosecutors) to detect and to sanction violators of legal rules. We first discuss...

This chapter of the forthcoming Handbook of Law and Economics surveys the theory of the public enforcement of law — the use of governmental agents (regulators, inspectors, tax auditors, police, prosecutors) to detect and to sanction violators of legal rules. The theoretical core of our...

We consider the role of asymmetric information on the emergence of collusion between criminals and enforcers, in the framework proposed by Bowles and Garoupa (1997) and Polinsky and Shavell (2001). Our Paper proposes that the optimal criminal sanction for the underlying offense is not...

This chapter surveys the theory of the public enforcement of law--the use of governmental agents (regulators, inspectors, tax auditors, police, prosecutors) to detect and to sanction violators of legal rules. The theoretical core of the analysis addresses the following basic questions: Should...