Basic Econometrics and Quantitative Modeling

University of Newcastle

Course Description

  • Course Name

    Basic Econometrics and Quantitative Modeling

  • Host University

    University of Newcastle

  • Location

    Newcastle, Australia

  • Area of Study


  • Language Level

    Taught In English

  • Course Level Recommendations


    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

  • Host University Units

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

    Econometrics informs and supports decision making in both business and policy environments. This course introduces statistical methods and econometric modelling, focusing upon providing students with hands-on software skills applied in economics, commerce, finance and business decision making processes. Students are introduced to solving econometric problems within an Excel spreadsheet environment. Emphasis is placed upon problem-solving and drawing inferences from data to make informed decisions, both highly valued attributes within business environments.
    1. Employ analytical skills to solve simple econometric and statistical problems;
    2. Select statistical methods to make basic inferences from sample data and to present and interpret results from a simple regression analysis;
    3. Utilise quantitative skills to summarise and present sample data as a basis for making informed decisions;
    4. Formulate and conduct estimation and hypothesis testing in a statistical testing framework;
    5. Comprehend the assumptions underlying the simple regression models;
    6. Apply econometric modelling and forecasting techniques to economic, finance and business data in a MS Excel spreadsheet environment and to interpret and communicate the results in an informed manner.
    The topics in this include but are not limited to:
    Introduction to Linear Functions
    Non-linear Function and Applications of Functions & Differentiation
    Graphics and Introduction to Excel
    Numerical Descriptive Statistics
    Probability and Probability Distributions
    Sampling and Sampling Distribution
    Hypothesis Testing
    Simple Linear Regression and Correlation
    Time-series analysis and Forecasting
    Index Numbers
    Tutorial / Laboratory Exercises: Tutorial Assignments
    In Term Test: Mid-semester test
    Formal Examination: Final Exam

Course Disclaimer

Courses and course hours of instruction are subject to change.

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.