99904 - Climate Econometrics

Learning outcomes

The course will cover the Classic Linear Regression Model using examples from the econometric software gretl and discuss the assumptions of the model, hypothesis testing, autocorrelation, heteroscedasticity, Multicollinearity and Dummy Variables. By the end of the course students will be familiar with econometric analysis, simple and multivariate regression, hypothesis testing and diagnostic tests. The emphasis will be both on theory and the applied part of the subject.

Course contents

Climate Econometrics

Course Outline

This course will cover the issue the Classical Linear Regression Model using examples from the econometric software in gretl. We will discuss the assumptions of the model, hypothesis testing, autocorrelation, heteroscedasticity, Multicollinearity and Dummy Variables. All the topics will be presented together with examples from the Empirical Environmental Economics literature. The emphasis will be on both theoretical and applied work by using Gretl extensively. A presentation on a topic chosen by students will be expected in the last two days of the course.

Topics Covered

• A brief Overview of the Classical Linear Regression Model
• Simple and Multivariate Regression
• Further Development of the Classical Linear Regression model
• Assumptions and Diagnostic tests
• Autoregressive Models
• Moving Average Models
• Gretl in practice

Learning Outcomes

By the end of the course students will be familiar with econometric analysis. The emphasis will be both on theory and the applied part of the work. The econometric software gretl will be used and its function will be demonstrated. By the end of the course students would be confident with simple and multivariate regression, hypothesis testing and diagnostic tests.

Assessment

There will be coursework will be submitted in the end of the course. The submitted file will need to be a pdf file with a max number of words 3000. You need to add a group report that will detail the contribution of each member of the group. Submission by 30/5/2022: panagiotidis@gmail.com [mailto:panagiotidis@gmail.com]

Textbooks

Notes will be distributed in the class.

Brooks, C. (2002), Introductory Econometrics for Finance, Cambridge University Press

Gujarati D.N. and Poter D.C. (2009), Basic Econometrics, McGraw-Hill

Verbeek, Marno, A guide to modern econometrics, Wiley, 2012.

Software:

http://gretl.sourceforge.net/

Readings/Bibliography

Textbooks

Notes will be distributed in the class.

Brooks, C. (2002), Introductory Econometrics for Finance, Cambridge University Press

Gujarati D.N. and Poter D.C. (2009), Basic Econometrics, McGraw-Hill

Verbeek, Marno, A guide to modern econometrics, Wiley, 2012.

Software:

http://gretl.sourceforge.net/

Teaching methods

Lectures and Lab

Assessment methods

Mark range:

• 18-19: knowledge of a very limited number of topics covered in the course and analytical skills that emerge only with the help of the teacher, expressed in an overall correct language;
• 20-24: knowledge of a limited number of topics covered in the course and ability to autonomous analysis only on purely executive matters, expression in correct language;
• 25-29: good knowledge of a large number of topics covered in the course, ability to make independent choices of critical analysis, mastery of specific terminology;
• 30-30 cum laude: excellent knowledge of the topics covered in the course, ability to make autonomous choices of critical analysis and connection, full mastery of specific terminology and ability to argue and self-reflection.

Office hours

See the website of Theodoros Panagiotidis