Academic year
2023/2024 Syllabus of previous years
Official course title
Course code
EM5017 (AF:449677 AR:254168)
On campus classes
ECTS credits
Degree level
Master's Degree Programme (DM270)
Educational sector code
2nd Term
Course year
Go to Moodle page
To estimate a regression, even simply linear, is not at all simple! The possibility of obtaining senseless results, sometimes apparently credible, is very high.
The Econometrics Laboratory aims to teach econometric practice, stimulating the student to the construction of regression models, using economic, macro or micro, or financial data.
The course allows the student to get to the awareness of what are the errors to avoid and what is the correct path for the quantitative analysis of economic phenomena.
This learning approach becomes essential in facing the thesis work and, after graduation, in the work environments where these skills are required.
The Econometrics Laboratory can constitute a valid complement to Econometrics course. A part of the Laboratory is aimed at recovering the notions of basic econometrics, as listed in the programme, and therefore it is useful for all students who have Econometrics in the study plan but have not attended introductory econometrics courses in their previous study paths.
The course is organized by dividing the class into working groups. Each group is assigned an already carried out project. The project consists of an econometric model that uses real economy data. The group's task is to analyze and discuss the assigned project that can be improved.
The group work on the project allows an active and progressive learning by the student. The teacher follows the work of the groups by illustrating the analysis, specification and estimation procedures of the econometric model.
The student learns how to consult economic and financial databases. In addition, he/she learns to specify a univariated regression model that takes into account the results of the most updated econometric theoretical research. It also learns to use the model to interpret the obtained estimates, for the prediction and scenario analysis.
Elements of matrix algebra, theory of random variables, elements of statistical inference: Estimation and hypothesis testing.
The simultaneous (or preventive) attendance of the Econometria or Econometrics course is recommended
Through the analysis of specific examples, students are invited to familiarize with the treatment of actual economic and financial data.
Typically, the examples involve the application of univariate regressions. It is shown how important it is the exploratory analysis of the data and the determination of the main statistical characteristics of the variables entering the regression.
In particular, importance is given to the non-stationarity of the economic series and to the consequences that the non-stationarity has on the properties of the regression models.
Important emphasis is placed on the interpretation of the regression coefficients and on the way of determining the marginal propensities, elasticities and impulse response functions.
Estimated regression model can be used for forecasting future trends, and scenario analysis.
Notes available on Moodle
The student discusses the written project he has carried out following the example commented during the course.
The positive outcome of the discussion allows the student to obtain the evaluation of the exam in thirtieths.
Alternatively, the student can ask to obtain 6 CFU as an internship, regardless of having inserted the teaching in his study plan or not.
Classroom lessons and exercises. Group work for the specification and estimation of an econometric model
Ca’ Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support services and accommodation available to students with disabilities. This includes students with mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services:

This subject deals with topics related to the macro-area "Climate change and energy" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development

Definitive programme.
Last update of the programme: 20/06/2023