ECON42700

Learning Outcomes:

By the end of this course, students should be able to:
1) select and formulate the appropriate econometric model for given a research question and data setting;
2) identify the appropriate estimator among the ones seen in class;
2) estimate all the models seen in class using R

Indicative Module Content:

Cross-section and panel data
- Models with limited dependent variables
- Selection models
- Panel data models
-Treatment effects

Student Effort Hours:

Approaches to Teaching and Learning:

The modules comprises lectures and tutorial session; the latter allow students to practice and discuss the techniques learned on real data and develop confidence in handling datasets and statistical software.

AI may only be used in this module only to generate or check code in R (or any other coding language you are using), etc. However, you must understand how that code operates, be able to explain it, accept responsibility for it, and explicitly acknowledge that AI was used and in what ways it was used. You are also required to provide a reference for the software used, and what prompts (if any) were used. Here is an example of a citation:

Code generated by ChatGPT, March 31, 2024, OpenAI, https://chat.openai.com.

The following prompts were used: “XYZ”.

The use of AI-generated content without explicit attribution is a form of academic misconduct. Please note that if academic misconduct is suspected, you may be asked to discuss or explain components of your assignment without warning to determine the authenticity of the work. Please refer to the UCD Student Academic Misconduct Procedure for more.

Requirements, Exclusions and Recommendations

Learning Recommendations:

It is recommended that students have completed ECON41820 - Econometrics in the Autumn before taking this module in the Spring.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment
• Online automated feedback
• Self-assessment activities

How will my Feedback be Delivered?

How will my Feedback be Delivered? 1. Assignments will be assigned throughout the semester for self-assessment; solutions will be posted on Brightspace and will be explained in detail during tutorials. 2. Appointments will be given to those students wishing to get individual feedback on the empirical assignments and the final examination.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.