Applied Econometrics

Griffith University

Course Description

  • Course Name

    Applied Econometrics

  • Host University

    Griffith University

  • Location

    Gold Coast, Australia

  • Area of Study

    Economics

  • Language Level

    Taught In English

  • Prerequisites

    Prerequisite: 1304AFE/1384AFE or 1006IBA (Business Statistics)

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credit Points

    10
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    Course Description
    This course has a prerequisite requirement which means you MUST successfully complete the listed course or requirement/s BEFORE enrolling in this course. If you have enrolled in the course without meeting this requirement you MUST WITHDRAW immediately or contact the Program Director if you believe you have extenuating circumstances. It is our experience that students who have not completed the prerequisite course struggle to complete the course and often Fail as a result. It is your responsibility to have any Transfer Credit appearing on your academic transcript before enrolling. Econometrics is the application of statistical and mathematical methods to economic analysis. This course provides a simple introduction to econometric techniques of analysis, with particular emphasis on how these techniques can be used for the empirical testing of economic theories and/or policy prescriptions.
    Course Introduction
    Business, economics and finance graduates require some knowledge of econometrics to assist them in the application and testing of behavioural models and to provide quantitative forecasts for informed decision making. The key aim of this course is to produce graduates who have mastered basic econometric and computational skills for further development in more advanced business courses and for use in their future employment. In so doing, it focuses not only upon developing an understanding of those techniques of analysis comprising the sub-branch of economics known as econometrics, but also an appreciation of the special problems that arise in the application of these statistical techniques to economic and financial data and relationships.
    This course will provide business and commerce students with some knowledge of econometrics to assist them in the application and testing of behavioural models and to use the models to produce quantitative forecasts for informed decision making. The statistical computer package EViews forms an integral part of the students? learning. Students will be required to demonstrate an ability to analyse an econometric modeling problem, perform appropriate statistical analyses, and report on the results in a coherent, cogent manner. Lectures will emphasise the relevance of theoretical aspects of the discipline to practical applications.
    Course Aims
    The prime objective of this course is to provide students with a practical, working knowledge of basic econometrics. The course addresses the following central question(s): "What are econometric techniques of analysis and how can they be used for empirically evaluating economic relationships?"
    In so doing, it focuses not only upon developing an understanding of those techniques of analysis comprising the sub-branch of economics known as econometrics, but also an appreciation of the special problems that arise in the application of these statistical techniques to economic data and relationships.
    This course will provide economics students with some knowledge of econometrics to assist them in the application and testing of behavioural models and to use the models to produce quantitative forecasts for informed decision making. The statistical computer package Eviews forms an integral part of the students' learning. Students will be required to have a working knowledge of Eviews, particularly in the area of
    regression analysis, as well as to demonstrate an ability to analyse an econometric modeling problem, perform appropriate statistical analyses, and report on the results in a coherent, cogent manner. Lectures will emphasise the relevance of theoretical aspects of the discipline to practical applications.
    This course provides a range of econometric techniques appropriate for students studying economics. The emphasis of this course is on the applied aspects of econometrics so as to provide understanding of some core underlying theoretical issues essential for competent and practical economic modeling. The statistical package Eviews will be used as a tool in solving problems.
    Learning Outcomes
    After successfully completing this course you should be able to:
    1 apply aspects of econometric techniques so as to provide understanding of some core underlying theoretical issues essential for competent, practical, economic, financial and business modelling.
    2 recognise situations where econometric techniques are appropriate for students studying business, finance and economics.
    3 identify problems when assumptions underlying econometric analyses are violated and present methods to overcome these problems.
    4 use the statistical package Eviews as a tool in quantifying econometric models.

    Assessment Task

    Weighting/Marked out of

    Exam - constructed response
    Mid-Semester Examination*

    25%/25

    Assignment - Problem Solving Assignment
    Applied Econometric Analysis

    20%/20

    Exam - constructed response
    Final Examination

    55%/55

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.