# Basic Econometrics and Quantitative Modelling

 Course code ECON1130 Units 10 Level 1000 Faculty of Business and LawNewcastle Business School

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.

### Not available in 2014

Previously offered in 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
ObjectivesOn successful completion of the course, students are expected to be able to:
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.
ContentThe topics will vary from year to year but students can expect to develop skills in the following areas.

1. Introduction to Linear Functions
2. Non-linear Function and Applications of Functions & Differentiation
3. Finance
4. Graphics and Introduction to Excel
5. Numerical Descriptive Statistics
6. Probability and Probability Distributions
7. Sampling and Sampling Distribution
8. Estimation
9. Hypothesis Testing
10.Simple Linear Regression and Correlation
11.Time-series analysis and Forecasting
12.Index Numbers
Replacing Course(s)Not applicable
TransitionNA
Industrial Experience0
Assumed KnowledgeNil
Modes of DeliveryInternal Mode
Teaching MethodsLecture
Tutorial
Assessment Items
Examination: Formal Formal exam in exam period. Students must submit answers to tutorial exercises. Mid-semester test. Details in course outline.
Contact HoursLecture: for 2 hour(s) per Week for Full Term
Tutorial: for 1 hour(s) per Week for 12 weeks