Title: Topics in Microeconometrics
Instructors: Elena Lagomarsino, elena.lagomarsino@unige.it; Silvio Traverso, silvio.traverso@uniupo.it
Credit points (CFU): 2
Lectures: 24 hours
Homework: 28 hours
Lectures Period: March-May (Second semester)
Course Description and Objectives
This course introduces the fundamentals of microeconometric analysis with a strong emphasis on empirical applications. It provides hands-on training in Stata and covers key methods of impact evaluation, beginning with counterfactual reasoning and randomized controlled trials. The course then explores advanced causal inference techniques, including instrumental variables (IV), panel data models, matching methods, and synthetic control approaches. In addition, a dedicated module on meta-analysis introduces tools for synthesizing results from multiple studies to support evidence-based conclusions.
Laboratory sessions using Stata complement the lectures, allowing students to apply econometric techniques to real-world datasets and to discuss findings from influential empirical research.
Prerequisites
Basic knowledge of Econometrics, Statistics, and Stata.
Course Materials
Lecture slides and code examples, selected book chapters
Recommended textbooks:
Wooldridge, Jeffrey M. Introductory Econometrics: A Modern Approach. 7th ed., Cengage Learning, 2020.
Greene, William H. Econometric Analysis. 8th ed., Pearson, 2018.
Cunningham, Scott Causal Inference: The Mixtape. Yale University Press, 2021.
Angrist, Joshua D., and Jörn-Steffen Pischke. Mastering 'Metrics: The Path from Cause to Effect. Princeton University Press, 2014.
Stanley, T.D., & Doucouliagos, H. (2012). Meta-regression analysis in economics and business. Routledge
Assessment
Students will be evaluated through an oral examination designed as a conference-style presentation. Each student will critically analyze and present a selected scientific article, demonstrating their ability to interpret, synthesize, and communicate research findings effectively.