Basic Econometrics and Quantitative Modeling
University of Newcastle
Area of Study
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.
Host University Units10
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4 - 6
Hours & Credits
OverviewEconometrics 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.LEARNING OUTCOMES1. 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.CONTENTThe topics in this include but are not limited to:Introduction to Linear FunctionsNon-linear Function and Applications of Functions & DifferentiationFinanceGraphics and Introduction to ExcelNumerical Descriptive StatisticsProbability and Probability DistributionsSampling and Sampling DistributionEstimationHypothesis TestingSimple Linear Regression and CorrelationTime-series analysis and ForecastingIndex NumbersASSESSMENT ITEMSTutorial / Laboratory Exercises: Tutorial AssignmentsIn Term Test: Mid-semester testFormal Examination: Final Exam
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.