Facoltà di Economia

Aggiornato A.A. 2016-2017

This course is designed for the students of the Bachelor of Science in Business and Economics.

The aim of this course is to provide an introduction to the practice of econometrics. While both theoretical and
practical aspects will be covered, emphasis will be on intuitive understanding.

Theoretical methodologies will be presented followed by an extensive application in R (https://www.r-project.org).

 

DUBLIN DESCRIPTORS

Knowledge and Understanding
Knowledge and understanding of introductory econometrics for cross sectional data and time series, both univariate and multivariate.

Applying Knowledge and Understanding
Perform basic and intermediate quantitative analysis of cross sectional data (linear environment) and time series.

Making Judgements
Understand, interpret and judge quantitative analysis of other researchers.

Communication Skills                                                                                                                                                                                                                                                                                                               Present and comment quantitative analysis.

 

SYLLABUS:

1. Review of Descriptive statistics
2. Review of probability
3. Review of Statistical inference
4. Bivariate linear regression
5. Omitted variable bias and Multivariate Linear Regression
6. Non Linear regression
7. Time series -- Univariate
8. Time series -- Multivariate

Detailed syllabus and attempt schedule available in "Teaching Material" section.

 

REFERENCE MATERIALS
Stock, James H. and Mark W. Watson, Introduction to Econometrics, Addison Wesley
Jeffrey Wooldridge, Introductory Econometrics – A modern approach, South Western

Specific suggested readings in time series  (see last slide of Univariate Time Series)

 

TEACHING METHOD

• traditional lecture 40%
• lab class 30%
• assignments and team works 30%

 

 

 

Aggiornato A.A. 2015-2016

The course introduces students to the main concepts and tools for the empirical analysis of economic data. The focus will be on understanding the potential and the limits of the statistical analysis of economic issues rather than on formal aspects. Students will learn to apply various techniques using the econometric package Gretl.

The course will cover the fundamentals of both the regression model and the analysis of economic time series data.

The main textbook is: James H. Stock, J.H. and M. W. Watson, Introduction to Econometrics, 3/E, Prentice Hall