POL50050 Quantitative Methods II

Academic Year 2019/2020

Fundamentals of multiple regression analysis, including issues such as heteroscedasticity, autocorrelation, specification. In the second half, attention will be paid to estimating and presenting limited dependent variable models and multilevel and panel data. Roughly covers the curriculum of an introductory econometrics course, but with emphasis on limited dependent variable models rather than time series analysis for the more advanced components.

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Curricular information is subject to change

Learning Outcomes:

- Good understanding of linear regression, its underlying assumptions, and basic diagnostics
- Good understanding of maximum likelihood estimation
- Good practical understanding of regression models for limited dependent variable
- Good practical understanding of using R for statistical analysis
- Basic understanding of time series and panel data methods
- Basic understanding of causal inference techniques
- Ability to present and interpret statistical results for academic publications

Student Effort Hours: 
Student Effort Type Hours
Lectures

18

Computer Aided Lab

6

Autonomous Student Learning

200

Total

224

Approaches to Teaching and Learning:
lectures; lab work; homework 
Requirements, Exclusions and Recommendations
Learning Requirements:

This course assumes prior training in basic statistics, including:
- hypothesis tests, p-values, sampling distribution
- correlation, covariance, linear regression
- basic data file management


Module Requisites and Incompatibles
Not applicable to this module.  
Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade
Assignment: Homework 1 Week 3 Graded No

10

Assignment: Homework 2 Week 6 Graded No

10

Assignment: Homework 3 Week 9 Graded No

15

Assignment: Homework 4 Week 12 Graded No

15

Essay: Course paper Coursework (End of Trimester) Graded No

50


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

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Feedback on homework