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Course Outlines

ECON 2504 - Intermediate Econometrics II

North Terrace Campus - Semester 2 - 2020

This course provides an introduction to the econometric techniques used to analyse data sets in economics, business and finance. It builds on basic statistics, inference and regression as covered in introductory statistics courses but does not include time series econometrics. The focus is on understanding the methods involved, using statistical software to provide the results and then interpreting and commenting on these results. The course reviews basic statistics, regression and inference, and then introduces multiple regression analysis, which remains the most commonly used statistical technique in econometrics. The remainder of the course considers various practical aspects of linear regression models and may include dummy variables, different functional forms and the consequences of violation of the classical regression assumptions.

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  • General Course Information
    Course Details
    Course Code ECON 2504
    Course Intermediate Econometrics II
    Coordinating Unit Economics
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 3 hours per week. Intensive (up to 6 hours per week) in Summer Semester.
    Available for Study Abroad and Exchange Y
    Prerequisites ECON 1008 or ECON 1011 or STATS 1000 or equivalent
    Assumed Knowledge Maths as taught in ECON 1005; and ECON 1000 and ECON 1004, or ECON 1012
    Restrictions Not suitable for BCompSc, BCompGraphics or BEng(Software Engineering) students
    Assessment Typically group and individual assignments, tests and final exam.
    Course Staff

    Course Coordinator: Patricia Sourdin

    Summer School and Semester 2
    Course Coordinator: Dr Patricia Sourdin
    Email: patricia.sourdin@adelaide.edu.au
    Office hours: By appointment
    Office location: Nexus 10, Level 4, Room 4.28

    Semester 1  
    Course Coordinator: Dr Nadya Baryshnikova
    Email: nadezhda.baryshnikova@adelaide.edu.au
    Office hours: TBA
    Office location: Nexus 10, Level 4, Room 4.04
    Telephone: 8313 4821
    Course Timetable

    The full timetable of all activities for this course can be accessed from .

  • Learning Outcomes
    Course Learning Outcomes

    On successful completion of this course, students will be able to:

    1. Conduct basic statistical and econometric analysis.
    2. Explain and interpret econometric results.
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    		 1,2
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    		 1,2
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    		 1,2
  • Learning Resources
    Required Resources

    TEXT BOOK
    The required textbook is Principles of Econometrics, 5th Edition, Wiley by R. Carter Hill, William E. Griffiths and Guay C. Lim.

    Recommended Resources

    The recommended book to accompany the required text is Using Stata for Principles of Econometrics, 4th Edition, by Adkins and Hill.

    Online Learning

    Extensive use is made of MyUni; please check the announcements regularly. Lecture notes, practical questions, and past exam paper solutions will be made available on MyUni.

    There is a discussion board on MyUni; this is the preferred way for students to ask questions because this way all students have the same information and any of the staff can reply, allowing for quicker responses.

  • Learning & Teaching Activities
    Learning & Teaching Modes
    Classes will meet three times a week: twice for a 1-hour lecture and once for a 1-hour tutorial depending on the time slot students sign up for.

    Office hours to be announced. Please adhere strictly to the designated office hours.
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