Academic year
2019/2020 Syllabus of previous years
Official course title
Course code
PHD097 (AF:319801 AR:171119)
On campus classes
ECTS credits
0 out of 7 of ECONOMETRICS
Degree level
Corso di Dottorato (D.M.45)
Educational sector code
2nd Semester
Course year
This course is one of the core teaching activities of the PhD progam in "Economics" and of the course "Economia e Finanza - QEM". In line with the educational objectives of the course, this activity aims to present the main mathematical and statistical tools necessary for the analysis of economic phenomena; particular attention will be devoted to the use of formal language and methodological rigor. More specifially, the course aims to complete students preparation in Econometrics by being able to deal with advanced econometric models and methods. Moreover, it will provide students with the main econometric methods, with special reference to the analytical derivation of the estimators and to inference procedures. The course is well equipped with econometric practice, enhancing practical abilities in the use of the econometric softwares such as STATA, E-Views and Gretl.

These classes aim at consolidating the students' command of statistical and econometric methods by means of tutorials, practical session, and training on statistical softwares.
Knowledge and competences:
- sound knowledge of the theoretical foundations of econometric methods
- specification and formal derivation of econometric models based on economic models
- investigate, understand and interpret economic and financial phenomena, by means of up-to-data econometric tools

Application of acquired knowledge and skills:
- ability to exploit up-to-date analytical tools and formal derivations to gain insights on relevant economic relationships
- interpretation and management of economic dynamics, through the use of advanced analytical tools
- being able to design empirical strategies to measure and quantify economic phenomena and relationships among economic variables

Judgement and interpretation skills:
- evaluate strengths and weaknesses of the methodologies analysed and of their empirical application
- being able to critically interpret the outcomes of empirical analyses
Mathematical Tools:
Matrix Algebra
Differential Calculus
Integral Calculus

Statistical Tools:
Random Variables and Distribution Theory
Point and Interval Estimation
Hypothesis Testing
Least Squares and Standard Linear Model
1 Regression Models
2 The Geometry of Linear Regression
3 The Statistical Properties of Ordinary Least Squares
4 Hypothesis Testing in Linear Regression Models
5 Confidence Intervals
6 Nonlinear Regression
7 Generalized Least Squares and Related Topics
8 Instrumental Variables Estimation
9 The Generalized Methods of Moments
10 The Method of Maximum Likelihood
Russell Davidson and James MacKinnon, Econometric Theory and Methods, Oxford University Press, 2004.

Additional references:
- Lectures slides and additional material will be made available on Moodle during the course
The purpose of these classes is to prepare students for the final Econometrics exam.
Classes, tutorials, practical sessions on econometric softwares.
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:
written and oral
Definitive programme.
Last update of the programme: 15/04/2019