Econometrics for impact evaluation
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Econometrics for impact evalutation
Classe: LM-77 R
- A.A. 2025/2026
- CFU 9, 9(m)
- Ore 60, 60(m)
- Classe di laurea LM-16 R, LM-77 R(m)
Elements of Data Analysis and Descriptive Statistics, Probability, and Inference.
The course aims to provide the foundations of Econometrics sufficient to highlight the practical applications in the economic, social, and managerial domains. During the course, students will be encouraged to apply theoretical/analytical and methodological concepts using appropriate software to analyze and interpret microeconomic and social data for developing economic and business case studies.
1. Simple Linear Regression: (i) regression model; (ii) estimation of regression parameters; (iii) goodness-of-fit measures; (iv) hypothesis testing and interval estimation. 2. Linear Algebra: (i) vectors; (ii) matrices; (iii) matrix operations; (iv) matrix transpose and inversion. 3. Multiple Linear Regression: (i) regression model; (ii) asymptotic properties; (iii) biases and estimators; (iv) diagnostic tests; (v) testing joint hypotheses; (vi) maximum likelihood. 4. Nonlinear Regression Models: (i) logarithmic functions; (iii) interactions between random variables; (iv) interactions between random variables and dichotomous variables; (v) biases and estimators. 5. Logit and Probit Models: (i) estimation and inference; (ii) diagnostic tests. 6. Regression with Instrumental Variables: (i) regression model; (ii) estimation of regression parameters; (iii) Two-Stage Least Squares regression analysis; (iv) diagnostic tests.
(A) Stock, James H. and Watson, Mark W.; Introduzione all'econometria; Pearson, Milano; 2020; Pages/Chapters: chap. 1,2,3,4,5,6,7,8,9,11,12,13 ISBN 978-8891906199
(C) Wooldrige, Jeffrey M.;Introductory Econometrics: A Modern Approach; South-Western, USA; 2019; Pages/Chapters: chap.1,2,3,4,5,6,7,8,9,15,17 ISBN 978-1337558860
(C) Piccolo, Domenico; Statistica; Il Mulino, Bologna; 1998; Pages/Chapters: chap. 12-14 ISBN 978-8815139023
Further information / additional materials
The teacher provides students with the slides used for explaining theoretical concepts and practical applications. In addition, the lecture notes on all course topics are provided.
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Theoretical/methodological lectures. Empirical exercises of an economic-business nature. Case studies on data using the RStudio software.
The evaluation method (on a scale of thirty) consists of a written exam in which students will have to answer two theoretical questions and two practical questions, involving the completion of exercises and the interpretation of graphs and estimation outputs. Points are assigned to each question based on its significance and extent and are reported in the text during the exam.
Evaluation criteria:
- knowledge and understanding of the topics covered in the course (50%)
- ability to apply the appropriate tools and completeness of the presented solutions (50%).
No mid-term test is planned.
It is not permitted to consult texts during the exam.
English
English