Economics of (organized) Crime and Corruption

A.Y. 2024/2025
6
Max ECTS
42
Overall hours
SSD
SECS-P/03
Language
English
Learning objectives
The course aims to introduce students to the study of the economics of crime, with a specific focus on organized crime and corruption issues. The first part of the course provides the necessary methodological tools to understand recent scientific studies in the field of empirical economics. Specifically, the course includes a brief introduction to the most common econometric and statistical methods used in the study of the economics of crime. In the following classes, we will address a series of topics related to organized crime and corruption, and examine how economists can assist policymakers in analyzing crime. We will focus on the economic approach to a range of research questions, such as: Is it possible to estimate the deterrent effect of penalties? What are the best policies to combat corruption? What are the effects of the mafia on society? Can electoral accountability prevent corruption?
Expected learning outcomes
Gain a comprehensive understanding of the fundamental statistical tools utilized in the field of crime economics.
Demonstrate a profound grasp of the research topics explored throughout the course, exhibiting a high level of knowledge and comprehension.
Develop the capacity to critically evaluate the scientific methodologies employed in crime economics, with particular emphasis on organized crime and corruption, to assess their strengths and limitations.
Cultivate the skills to autonomously explore and delve into scientific subjects pertaining to crime economics, fostering independent learning and research capabilities.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

The course will not take place in the academic year 2024/2025

Lesson period
First semester
SECS-P/03 - PUBLIC ECONOMICS - University credits: 6
Lessons: 42 hours