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EF8075 - Topics in Econometrics

Offering Academic Unit
Department of Economics and Finance
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2026/27

* The offering term is subject to change without prior notice
 
Course Aims

This course aims at providing an in-depth analysis of various advanced theoretical results in econometrics, including asymptotic distribution theory, instrumental variable methods, panel data analysis, discrete choice modeling, and topics in time series econometrics. Students will apply these techniques and concepts to real life cases and examine the usefulness of various economic and finance models. By engaging in these exercises, students further strengthen their discovery skills.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 100%
 

Remark on the use of Generative AI (GenAI) tools:



  • It is crucial to properly attribute all sources, including the ideas derived from GenAI tools (suggested style guide here). Students are highly encouraged to keep a journal of the GenAI conversation. This practice not only protects students from potential infringements of the Rules of Academic Honesty, but also promotes transparency, critical thinking, and the ethical use of GenAI tools.

  • See the section below on  further guideline on the use of GenAI tools in the coursework.


Guideline on the use of GenAI tools:


Allowed Uses



  1. Preliminary Insights:

    • Use Generative AI to gather initial ideas and perspectives on your topic.

    • Explore different angles or approaches to deepen your understanding.



  2. Grammar and Style Checks:

    • Utilize AI tools to proofread your work for grammatical errors and typos.

    • Enhance your writing style by asking for suggestions on clarity, coherence, and tone.



  3. Research Assistance:

    • Leverage AI to find relevant sources or summarize information, but ensure you evaluate and cite these sources appropriately.




Not Allowed



  1. Completing Majority of Tasks:

    • Do not use Generative AI to write entire essays or complete significant portions of your assignments without adding your own analysis or insights.

    • Your work should reflect your understanding and critical thinking.



  2. Submitting AI-Generated Content as Your Own:

    • Avoid submitting content primarily generated by AI. Always ensure the final product is your own work.




Best Practices



  • Integrate Your Voice: While using AI, ensure that your unique perspective and arguments are prominent in your work.

  • Cite Sources: If AI provides specific information or data, make sure to cite it properly, following your institution's guidelines.

  • Review and Revise: Always review AI-generated suggestions and adapt them to fit your style and intent.


By following these guidelines, you can effectively incorporate Generative AI into your academic work while maintaining integrity and originality.

 
Detailed Course Information

EF8075.pdf