ECON30130

Learning Outcomes:

Upon successful completion of the course, a student will have the ability to perform linear regression; to formally test statistical hypotheses and to evaluate empirical economic research. In addition, they will have an appreciation of the strength and weaknesses of econometrics and its use in the evaluation of competing economic theories and alternative policies.

Indicative Module Content:

Core topics:

1) Statistics refresher
2) Linear regression with one regressor
3) Linear regression with multiple regressors
4) Non-linear models

Advanced topics (time permitting)
- Binary dependent variables
- Introduction to causal inference
- Introduction to prediction

Student Effort Hours:

Approaches to Teaching and Learning:

We will have two hours of lecture per week where we will learn the theory behind econometric analysis.
In weekly computer labs, students learn to apply the theory to data using Stata or R.

AI may be used in this module to generate or check code in R, Stata, 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 to determine the authenticity of the work. Please refer to the UCD Student Academic Misconduct Procedure for more.

Requirements, Exclusions and Recommendations

Learning Requirements:

Students are required to have completed ECON 20040 Statistics for Economists, MIS 10010
Quantitative Analysis for Business, or an equivalent module on Basic Statistics and Probability.

Learning Recommendations:

It is recommended that students have an understanding of the basic Principles of Microeconomics and Principles of Macroeconomics such as ECON 10010 & ECON 10020

Module Requisites and Incompatibles

Incompatibles:
ECON3002J - Applied Econometrics, ECON42470 - Econometrics HDip


 

Assessment Strategy

 

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

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Advice will be provided to the class on what made for good and not-so-good projects/assignments with relevant examples.

The main textbook is

James H. Stock & Mark W. Watson, Introduction to Econometrics, published by Pearson. The book is currently in its 4th edition; previous editions are fine.

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