Insegnamento a.a. 2021-2022

• Introduction to the regression model in the univariate case.
• The general linear model.
• Least squares criterion and estimators.
• Properties of estimators.
• Tests of linear hypotheses on the parameters of the model.
• Asymptotic results for the linear model.
• Generalized least squares.
• Tests of correct specification.
• Instrumental variables.
• Hausman Test.
• Models for qualitative variables (LPM/Logit/Probit).
• Tobit model for corner solution responses and censored and truncated regressions.
• Sample selection corrections.
• Panel data models.

Each topic is first introduced theoretically and then illustrated through empirical applications.

• Define the key elements of a basic econometric analysis.
• Select the relevant variables and the proper econometric methods.
• Recognize and test the main required assumptions for the validity of a specific estimation method.
• Compare and select the outcome of alternative econometric methods.
• Interpret the empirical results.

• Perform basic econometric analyses to address specific economic questions.
• Develop and/or apply the proper econometric software.
• Analyze the validity of specific estimation and testing methods.
• Describe the economic implications of the results.

• Face-to-face lectures
• Exercises (exercises, database, software etc.)

Solution of theoretical and empirical questions related to the various topics in the syllabus.

Written exam(s) with open ended questions requiring to prove theoretical results, solve exercises and comment upon the results of empirical analyses. The first and second partial exams are weigthed the same (50%). The assignments are on voluntary basis.

The exam aims at  assessing whether the students are capable of:

• Defining the key elements of a basic econometric analysis using either cross-sectional or time-series or panel data.
• Understanding the theoretical properties of econometric techniques.
• Applying the proper econometric software.
• Selecting the relevant variables and the proper estimation and testing methods.
• Recognizing and testing the main required assumptions for the validity of a specific estimation method.
• Interpreting the empirical results and describe their economic implications.

• M. MARCELLINO, Applied Econometrics: An Introduction, Bocconi University Press, 2016.
• J.M. WOOLDRIGE, Introductory Econometrics: A Modern Approach, South-Western College Pub, 2013, 5th edition.