ID:
149002-ENG
Dettaglio:
SSD: Political Economy
Duration: 48
CFU: 6
Located in:
BERGAMO
Url:
ECONOMICS AND DATA ANALYSIS - 149-R-EN/PERCORSO COMUNE Year: 1
Year:
2025
The course aims to introduce students to the main theoretical and empirical tools used for data analysis and applied empirical research. The course will focus on the identification and estimation of causal relationships. At the end of the course, participants should be able to critically read scientific articles and start designing and performing their own analyses using the tools illustrated. The methods presented will allow students to address policy questions that are relevant from a social and economic perspective. For example: Does smoking cause cancer? Does an additional year of education increase future earnings? Does job training increase productivity? Does the minimum wage affect unemployment? Does more police presence reduce the crime rate?
Students will be introduced to applied microeconometrics toolkits, and by the end of the course, they will be able to search for policy-relevant questions, define a credible and appropriate research design, collect data, and perform empirical analysis using econometric software (i.e., Stata).
None, apart from the requirements obligatory for entrance to the course (https://ls-eda.unibg.it/en). In any case, it is strongly suggested to have attended the Advanced Econometrics course and to have a solid background in basic statistics and hypothesis testing.
The course combines traditional lectures with practical sessions, during which students will have the opportunity to familiarize themselves with the techniques presented in the lectures. Both traditional lectures and practical sessions aim to foster participation and class discussion.
The procedure and content of the exam will be the same for both attending and non-attending students.
Mode 1 (ONLY for those doing the exams in June and July)
Mode 2 (for attending and NOT attending students) • 2-hours written exam (6 questions)
The course covers empirical strategies for applied policy questions. The main objective of the course is to introduce students to the empirical tools for counterfactual analysis. The course will discuss and present the identification strategies and estimation techniques that are relevant for identifying causal effects using observational data. Specifically, the course will cover the following topics:
The emphasis will be on the practical implementation of each approach using Stata.