Learning objectives
Acquisition of knowledge: lectures
Acquisition of the ability to apply knowledge: Tutorials.
The student should also acquire the ability to use statistical software GRETL that is widely used in econometrics. During the course the student will have learned the basic statistical techniques and the ability to implement them easily through the features of GRETL.
Acquisition of judgment: During the course students will be encouraged to identify strengths and weaknesses of the methodological instruments .
Acquisition of learning skills: for each topic you will start from the illustration of the problem to solve and analyze critically the solutions adopted.
Participation in classroom activities and conduct of team work increase the student's ability to independently develop relevant data for solving search problems
Acquisition of technical language: while teaching you will learn the meaning of the terms commonly used by the economic statistics community.
Prerequisites
Prerequisites: basic knowledge of general statistics and statistical inference
Course unit content
1. Overview of National Income Accounting (SNA) and of the most important economic aggregates
2. The national and international sources of the economic data.
3. The comparison of economic aggregates in the time and the space: volume indices, price indices and the purchasing parities power (PPP).
4. Coefficients of Localization (or Dispersion), Coefficients of Specialization (or Diversification), Shift and Share Model of Regional Growth.
5. Study of the relation between economic phenomena with use of simple and multiple regression model:
5.1 Simple Linear Regression Model: Specification and Estimation;
5.2 Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction;
5.3 The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form
5.4 The Multiple Regression Model and Diagnostic testing
5.5 Dummy (Binary) Variables
6. Writing an Empirical Research Report, and Sources of Economic Data
Full programme
Course contents:
1. The national and international sources of the economic data.
2.The comparison of aggregates in the time and the space: volume indices, price indices and the purchasing parities power (PPP).
3. Coefficients of Localization (or Dispersion), Coefficients of Specialization (or Diversification), Shift and Share Model of Regional Growth.
4. Study of the relation between economic phenomena with use of simple and multiple regression model:
• Simple Linear Regression Model: Specification and Estimation
• Inference in the Simple Regression Model: Interval Estimation, Hypothesis Testing, and Prediction
• The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form
• The Multiple Regression Model and Diagnostic testing
• Dummy (Binary) Variables
• Models for Panel Data: Pooled Regression, Fixed Effects and Random Effects
• Writing and Empirical Research Report, and Sources of Economic Data
Bibliography
Recommended readings: selected chapters from:
L. C. ADKINS, Using Gretl for Principles of Econometrics, 3rd Edition. Version 1.311, 2010 (http://www.learneconometrics.com/gretl/ebook.pdf)
C. DOUGHERTY, Introduction to econometrics (third edition), Oxford University Press, 2006 .
E. GIOVANNINI, Understanding Economic Statistics. An OECD perspective, OCSE, 2008, Paris (http://www.oecd.org/dataoecd/33/39/41746710.pdf)
Further readings will be furnished during the course
Teaching methods Lectures and tutorials using Gretl
Teaching methods
Teaching methods Lectures and tutorials using Gretl
Assessment methods and criteria
Assessment methods
The exam is a written test, the same for all students. The exam has a maximum duration of 75 minutes and is divided into two parts.
The first part contains three questions each with a score of 10/30 for a total of 30/30. In the first and second question is asked, on the basis of the data provided, the solution of two problems on two different topics of the program. The third question, instead of, is theoretical in nature and consists of two open questions each rated 5/30.
The second part consists of three multiple-choice questions (1/30 each) in which the choice of the answer must be motivated
In the first part of the examination, two questions which require the solution of a practical exercise on the basis of the data provided (20/30) should allow to assess both the learning capacity and the ability to apply knowledge. The third question (10/30), theoretical in nature, with two open-ended questions is to assure the ability of understanding, independence of judgment and the ability to communicate with technical language appropriately.
In the second part of the exam are awarded further both the learning capacity and the ability to apply knowledge
Other information
- - -
