Scheda insegnamento

  • Docente Iliyan Georgiev

  • Crediti formativi 6

  • SSD SECS-P/05

  • Modalità didattica Convenzionale - Lezioni in presenza

  • Lingua di insegnamento Inglese

Anno Accademico 2019/2020

Conoscenze e abilità da conseguire

By the end of the course the student should be familiar with the theory and practice of single-equation linear econometric modelling. In particular, the student should be able to: - specify and estimate linear, single-equation econometric models with stochastic and possibly endogenous regressors; - derive and employ the asymptotic properties of linear method-of moments parameter estimators (OLS and IV) in these models; - perform a specification analysis of these models, - perform asymptotically valid inference based on these models.


1. Introduction to the specification of econometric models.

2. OLS estimation and inference for time series data. Conditions for consistency and asymptotic normality of the OLS estimator.
Tests of linear parametric restrictions under homo and heteroskedasticity.

3. Diagnostic tests.

4. Dealing with endogenous regressors: instrumental variable methods. Introduction to GMM estimation.

A note for exchange students: This is a course for an audience with a strong background in Statistics and with a propensity to discuss the course topics from a mathematically sophisticated perspective. Students from Economics, Business and other degrees who decide to enroll should be aware of the expected profile of the target audience and would enroll at their own risk.


Verbeek, M. (2000). An Introduction to Modern Econometrics, Wiley

Versione in italiano:Verbeek (2006) Econometria [testo tradotto in italiano, a cura di S. Pastorello].

Metodi didattici

Theory classes and empirical case studies at the lab.

Modalità di verifica dell'apprendimento

At the day of the first exam call that students attend during the academic year, they can make a binding and irreversible choice among two formulas for the calculation of their final course grade:

min{0.25 P + 0.75 E, 31}


min{E, 31},


- P is a problem sets grade in [0,32],

- E is a written exam grade in [0,30].

Two problem sets will be assigned during the lecture period and individual solutions will be due one week after each assignment.

The final exam will have the duration of ninety minutes and will have two parts: theoretical exercises and questions based on estimation output. During the exam students may consult a two-sided self-written A4 sheet with whatever contents they find appropriate; this sheet should be handed in together with the answers to the exam questions.

Students are entitled to renounce a passing final course grade one time only.

Strumenti a supporto della didattica

Econometric software: Gretl

Orario di ricevimento

Consulta il sito web di Iliyan Georgiev