-
Study
-
UCAS Clearing 2024
- Clearing Courses
- The Clearing Process
- UCAS Tariff Points
- Clearing 2024 FAQs
- Confirmation
- Clearing Campus Tours and Accommodation Viewings
-
Undergraduate
- Search for a Course
- Undergraduate Open Day & Events
- Application Guides
- Northumbria University UCAS Exhibitions
- Foundation Years
- Undergraduate Fees & Funding
- School & College Outreach
- Continuing Professional Development
-
Postgraduate
- Postgraduate Study Degree
- Postgraduate Research Degrees
- Postgraduate Open Days and Events
- Postgraduate Fees & Funding
- Flexible Learning
- Thinking about a Masters?
- Continuing Professional Development
- Change Direction
-
Student Life
- The Hub - Student Blog
- Accommodation
- Life in Newcastle
- Support for Students
- Careers
- Information for Parents
- Students' Union
- Northumbria Sport
-
-
International
International
Northumbria’s global footprint touches every continent across the world, through our global partnerships across 17 institutions in 10 countries, to our 277,000 strong alumni community and 150 recruitment partners – we prepare our students for the challenges of tomorrow. Discover more about how to join Northumbria’s global family or our partnerships.
View our Global Footprint-
Applying to Northumbria
- European Union
- Our London Campus
- Northumbria Pathway
- International Events
- Entry Requirements and Country Representatives
- Regional Offices
-
Northumbria Language Centre
- Faculty Requirements
- Acceptable English Requirements
- Pre-sessional English Language and Study Skills
- Academic Language Skills Programmes (ALS)
-
International Fees, Funding & Scholarships
- International Undergraduate Fees
- International Undergraduate Funding
- International Masters Fees
- International Masters Funding
- International Postgraduate Research Fees
- International Postgraduate Research Funding
- International Money Matters
-
Life at Northumbria
- International student support
- Careers
-
International Mobility
- Current Northumbria Students
- Incoming Exchange Students
-
-
Business
Business
The world is changing faster than ever before. The future is there to be won by organisations who find ways to turn today's possibilities into tomorrows competitive edge. In a connected world, collaboration can be the key to success.
More on our Business Services -
Research
Research
Northumbria is a research-rich, business-focused, professional university with a global reputation for academic quality. We conduct ground-breaking research that is responsive to the science & technology, health & well being, economic and social and arts & cultural needs for the communities
Discover more about our Research -
About Us
-
About Northumbria
- Our Strategy
- Our Staff
- Place and Partnerships
- Student Profiles
- Alumni Profiles
- Leadership & Governance
- Academic Departments
- University Services
- History of Northumbria
- Contact us
- Online Shop
-
-
Alumni
Alumni
Northumbria University is renowned for the calibre of its business-ready graduates. Our alumni network has over 241,000 graduates based in 178 countries worldwide in a range of sectors, our alumni are making a real impact on the world.
Our Alumni - Work For Us
What will I learn on this module?
The focus of this module will be on advanced econometric techniques, building upon the foundations acquired in the level 5 econometrics module. This module will include selected topics in applied econometrics, with a focus on connecting theory with practical applications. The lectures will be supported by computer classes using secondary data to explore the various estimation techniques. The module will make use of econometrics software packages for the estimations of cross-sectional, panel and time-series models. By the end of the module students will demonstrate an in-depth understanding of modern econometrics, with practical application to both microeconomics and macroeconomics analysis. This will be useful to students interested in postgraduate study in economics as well as the many disciplines outside of economics that require quantitative analysis.
The topics covered in this module include:
Ordinary Least Squares Model
Generalized Least Squares and Maximum Likelihood Estimation
Hypotheses testing
Endogeneity in Linear Regression Models
Simultaneous Equations Estimation
Limited Dependent Variables
Time Series Models
Panel Data Models
How will I learn on this module?
You will be supported in this module by a comprehensive teaching and learning plan (TLP), which clearly specifies lectures and computer workshops as well as tutor-directed study and independent reading. The lectures and seminars will cover the theoretical aspects of econometrics alongside the computer workshops, which will demonstrate the practical aspects of advanced modern econometrics. Workshops will also be used to provide clarity or further discuss aspects of the lectures that you may have questions on. You will have the opportunity to interact with the teaching team and benefit from questions or discussions from other students in your class.
The topics in this module will have practical aspects using computer classes based on data from empirical studies published in top-tier journals. The use of both lectures and computer classes will give you an in-depth understanding of the different components of advanced econometrics that will be taught during lectures and these will provide the opportunity to critically evaluate the techniques learned. In the computer workshops, you will use econometrics software packages for estimations and analyses, and this will be preceded by introductory lectures on how to use econometrics software packages in model estimations.
How will I be supported academically on this module?
You will be supported in this module by an e-learning module site, which will provide materials for lectures, computer workshops and other relevant readings for your independent study. The teaching team will support you by delivering the content of the lectures, providing answers to your questions about the materials, and practical guidance/assistance during computer workshops. You will have access to the computer laboratory to practice at your own pace the various econometric techniques/methods that will be taught during lectures and workshops. There will be fixed schedules for office hours with the teaching team which will give you the opportunity to discuss or ask questions about this module. In addition, you can contact the lecturer via email outside the scheduled sessions should you have any queries about any aspects of the lectures or computer workshops.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. Online reading lists (provided after enrolment) give you access to your reading material for your modules. The Library works in partnership with your module tutors to ensure you have access to the material that you need.
What will I be expected to achieve?
Knowledge & Understanding:
You will develop a sound knowledge of advanced econometric techniques and analysis (MLO1).
You will be able to comprehend empirical studies using econometric methods and critically analyse the results and the techniques adopted (MLO2).
You will be able to identify which econometric techniques are best suited to address specific research questions (MLO3)
Intellectual / Professional skills & abilities:
You will develop the ability to apply econometric techniques and methods to solving practical and real-world problems (MLO4).
Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
Critically evaluated personal strengths and weaknesses and have demonstrated the ability to engage in reflective self-development (MLO5)
How will I be assessed?
Formative Assessment:
The formative assessment will comprise of discussion questions and problem sets which will be distributed to you in advance. There will be individual and group discussion of the answers to these problem sets and questions during the workshops. This will encourage your active participation in the learning process throughout the semester. The e-Learning portal will be used to permanently host these tasks after release to ensure that you can access the information required at all times. You will be provided with the opportunity to get one to one feedback on the summative assignment.
Summative Assessment:
The module is assessed by:
A 1,500 word group report and a 500- word individual reflective log (40% weight). In the report students will be required to put into practice some of the econometric techniques acquired from lectures and computer workshops. The individual reflective log will include a self-assessment of strengths and weaknesses across a range of interpersonal and intrapersonal skills as well as a peer assessment of other group members using a standardised peer assessment format. The topic will be assigned to students in Week 2, and it will be due for submission in Week 10 (MLO1, MLO2, MLO3, MLO4, MLO5).
There will be an end of semester 2-hour examination (closed book) for this module (60% weight), where students will be required to answer four questions out of six. The examination will assess students’ understanding of econometric models and estimation techniques taught in lectures and computer workshops. (MLO1, MLO2, MLO4).
Pre-requisite(s)
None
Co-requisite(s)
None
Module abstract
Econometric analysis provides a solid approach for estimation in many quantitative-inclined disciplines. In recent years, modern econometrics has witnessed an improvement in estimation techniques and these techniques have been widely used in many empirical works, both economics and non-economics disciplines. Also, there has been an advancement in econometrics software packages that makes it possible to undertake complex econometric and statistical analyses. This module aims to develop and enhance your knowledge and ability to evaluate and carry out a wide range of econometric analysis. You will apply econometric theory and estimation techniques to investigate practical and real-world problems using data sets from articles published in top-tier journals. This module will equip you with the requisite knowledge and analytical skills required for a rigorous empirical analysis.
Course info
UCAS Code L110
Credits 20
Level of Study Undergraduate
Mode of Study 3 years Full Time or 4 years with a placement (sandwich)/study abroad
Department Newcastle Business School
Location City Campus, Northumbria University
City Newcastle
Start September 2024 or September 2025
All information is accurate at the time of sharing.
Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.
Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.
Useful Links
Find out about our distinctive approach at
www.northumbria.ac.uk/exp
Admissions Terms and Conditions
northumbria.ac.uk/terms
Fees and Funding
northumbria.ac.uk/fees
Admissions Policy
northumbria.ac.uk/adpolicy
Admissions Complaints Policy
northumbria.ac.uk/complaints