Aggiornato A.A. 2017-2018
This course is designed for the students of the Bachelor of Science in Business and Economics
The course Applied Economics introduces students to applied empirical works. The course will cover both data skills (organization and manipulation of data, but also descriptive and explorative analysis) and applied econometrics (especially models for cross-sectional and panel data, binary dependent variables, and instrumental variables) and other topics which have not been extensively covered in previous modules. The focus will be mainly on applications, while theory is used only as needed to understand the whys of the methods. Students will learn to apply those techniques using the statistical package Stata (but also R, Matlab, or other packages can be used).
DUBLIN DESCRIPTORS
Knowledge and Understanding
Knowledge and understanding of empirical models for cross sectional and longitudinal data.
Applying Knowledge and Understanding
Perform basic and intermediate quantitative analysis (non-linear models, discrete choice models, IV) for cross sectional and longitudinal data.
Making Judgements
Understand, interpret and judge quantitative analysis of other researchers.
Communication Skills
Present and comment quantitative analysis.
SYLLABUS:
- Nonlinear Regression Functions
- Assessing Studies Based on Multiple Regression
- Regression with Panel Data
- Regression with a Binary Dependent Variable
- Instrumental Variables Regression
Detailed syllabus and attempt schedule available in "Teaching Material" section.
REFERENCE MATERIALS
Introduction to Econometrics, Update: Global Edition
3/e - James H. Stock and Mark Watson
ISBN: 9781292071312
TEACHING METHOD
traditional lecture 40%
lab class 30%
assignments and team works 30%
FINAL EVALUATION (percentage of finale grade)
- assignments and team works 40%
- written exam: 60%
Aggiornato A.A. 2017-2018
This course is designed for the students of the Bachelor of Science in Business and Economics
The course Applied Economics introduces students to applied empirical works. The course will cover both data skills (organization and manipulation of data, but also descriptive and explorative analysis) and applied econometrics (especially models for cross-sectional and panel data, binary dependent variables, and instrumental variables) and other topics which have not been extensively covered in previous modules. The focus will be mainly on applications, while theory is used only as needed to understand the whys of the methods. Students will learn to apply those techniques using the statistical package Stata (but also R, Matlab, or other packages can be used).
DUBLIN DESCRIPTORS
Knowledge and Understanding
Knowledge and understanding of empirical models for cross sectional and longitudinal data.
Applying Knowledge and Understanding
Perform basic and intermediate quantitative analysis (non-linear models, discrete choice models, IV) for cross sectional and longitudinal data.
Making Judgements
Understand, interpret and judge quantitative analysis of other researchers.
Communication Skills
Present and comment quantitative analysis.
SYLLABUS:
- Nonlinear Regression Functions
- Assessing Studies Based on Multiple Regression
- Regression with Panel Data
- Regression with a Binary Dependent Variable
- Instrumental Variables Regression
Detailed syllabus and attempt schedule available in "Teaching Material" section.
REFERENCE MATERIALS
Introduction to Econometrics, Update: Global Edition
3/e - James H. Stock and Mark Watson
ISBN: 9781292071312
TEACHING METHOD
traditional lecture 40%
lab class 30%
assignments and team works 30%
FINAL EVALUATION (percentage of finale grade)
- assignments and team works 40%
- written exam: 60%
Prof.ssa Lucia Leonelli
