# 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

Economics

• ### Language Level

Taught In English

• ### Course Level Recommendations

Lower

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

10
• 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.

LEARNING OUTCOMES
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.

CONTENT
The topics in this include but are not limited to:
Introduction to Linear Functions
Non-linear Function and Applications of Functions & Differentiation
Finance
Graphics and Introduction to Excel
Numerical Descriptive Statistics
Probability and Probability Distributions
Sampling and Sampling Distribution
Estimation
Hypothesis Testing
Simple Linear Regression and Correlation
Time-series analysis and Forecasting
Index Numbers

ASSESSMENT ITEMS
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.