- Docente: Luca Fanelli
- Crediti formativi: 12
- SSD: SECS-P/05
- Lingua di insegnamento: Inglese
- Moduli: Luca Fanelli (Modulo 1) Theodoros Panagiotidis (Modulo 2)
- Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
- Campus: Rimini
- Corso: Laurea Magistrale in Resource economics and sustainable development / economia delle risorse e dello sviluppo sostenibile (cod. 8839)
Conoscenze e abilità da conseguire
Students will learn the econometric methods used in applied research and the skills to perform their own empirical research using different econometric packages and software. Particularly, students will be able: - to use linear regression model in different contexts and to critically evaluate its principal economic applications; - to learn the basic methods of time series and dynamical models; - to acquire knowledge of the basic techniques of cross sections and panel data.
Contenuti
Part 1
Introduction to the linear regression model.
Examples of interest.
Interpretation and use of regression coefficients.
Compact matrix representation.
Estimation problem: OLS estimation and properties of the estimator.
Diagnostic analysis of a linear regression model: main tests.
Testing restrictions on the parameters.
Endogenous regressors:
Part 2
The second part of the course can be updated/modified depending on the teacher who will cover it.
It follows a list of baseline topics.
Introduction to Time Series Models
- Models with Lagged Dependent Variables
- Models with Trends
- AR and MA Models
- Introduction to models with integrated data I(1)
- Spurious regression
- Co-integration
Empirical applications from the environmental framework
Testi/Bibliografia
Slides provided by the teacher which will be available on IOL
Verbeek, M. (2000), Modern econometrics, Wiley, The relevant chapters will be indicated by the teacher
Metodi didattici
Classes and labs
Modalità di verifica e valutazione dell'apprendimento
The exam aims to verify that the student has achieved the following basic targets:
• knowledge of the basic econometric models which can be applied in the environmental context;
• the ability to distinguish between the application of the classic and generalized linear regression model;
• undestanding when the OLS estimator can not be applied and therefore alternative estimation tecniques must be used;
• understanding when OLS can not be used and when and how the IV estimator can be used to estimate the causal effects of interest.
• the main topics of time series econometrics and panel models.
The exam is written and a grade of the form xx/30 is given.
The final grade will be the arithmetic average of the grade taken in Part1 and Part2, respectively.
Students are supposed to do theoretical exercises but also discuss practical cases based on estimation outputs which refer to real markets.
Strumenti a supporto della didattica
Labs and use of econometric packages: Gretl (or Stata)
Orario di ricevimento
Consulta il sito web di Luca Fanelli
Consulta il sito web di Theodoros Panagiotidis
SDGs
L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.