ECON30530 Advanced Econometrics: Microeconometrics

Academic Year 2023/2024

In this module you will expand and deepen your knowledge of the most widely used econometric models and estimation techniques for cross-section and panel data. The module is applied in focus. Topics will be presented with theoretical rigor, but emphasis will be given to the intuition behind each technique and its practical applications.

This module assumes that students have passed an introductory econometrics module such as ECON30130 or an equivalent undergraduate econometric module.

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Curricular information is subject to change

Learning Outcomes:

At the end of this course, students should be able to:
1. recognize econometric problems that may arise from data or hypotheses,
2. understand the limitations of OLS and how they need to be corrected;
3. identify the appropriate estimator and its properties;
4. estimate the model using R;
5. discuss and interpret the results.

Indicative Module Content:

1. Review of basic regression models
2. Limited dependent variables models
3. Panel data models
4. Treatment effects models


Student Effort Hours: 
Student Effort Type Hours
Lectures

24
Tutorial

12
Autonomous Student Learning

80
Total

116
Approaches to Teaching and Learning:
The modules comprises lectures and tutorials; the latter allow students to apply the techniques learned on real data and to develop confidence in handling datasets and statistical software, building and estimating models, and interpreting results correctly. 
Requirements, Exclusions and Recommendations
Learning Recommendations:

It is strongly recommended that students have passed ECON30130 or an equivalent undergraduate econometrics module.


Module Requisites and Incompatibles
Incompatibles:
ECON30420 - Advanced Econometrics


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Two problem sets will be assigned over the course of the term. Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

40
Examination: Final exam 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

60

Carry forward of passed components
No
 
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

1. Two projects will be assigned throughout the semester and solutions will be posted on Brightspace. 2. Appointments will be given to those students wishing to get individual feedback on the empirical assignments and the final examination.

Wooldridge, Introductory Econometrics: A Modern Approach. Cengage. All recent editions are all fairly similar.
Name Role
Beatriz Salvan Gietner Behr Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
      
Lecture Offering 1 Week(s) - 26 Mon 14:00 - 14:50
Lecture Offering 1 Week(s) - 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 11:00 - 11:50
Lecture Offering 1 Week(s) - 20 Thurs 16:00 - 16:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 29, 30, 31, 32, 33 Tues 12:00 - 12:50
Computer Aided Lab Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 16:00 - 16:50
Computer Aided Lab Offering 2 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 09:00 - 09:50
Spring