BX3122 - Data Collection, Analysis and Interpretation in Economics
| Credit points: | 03 |
| Year: | 2014 |
| Student Contribution Band: | Band 3 |
| Administered by: | School of Business (pre 2015) |
This subject demonstrates how to use 'real' data in a variety of different econometric models to test economic theories and ideas. Its focus is on using techniques and understanding their limitations and their results (rather than on understanding econometric theory). Starting with the basic problem of determining how to turn an interesting question/issue into a testable hypothesis, it provides an overview of the types of data often used by economists and discusses techniques for collecting primary data where necessary. It introduces a range of different econometric models, identifying when such models are, or are not appropriate, and explains how to gauge the 'accuracy' of the models and to interpret outputs/results.
Learning Outcomes
- explain key variables for use in economic models and how to collect data for use as proxies in those models;
- appraise the way in which economic theories can be re-framed as testable scientific hypothesis;
- use a range of different econometric models to test economic theories;
- assess the appropriateness of different econometric models given the type of data available, and the economic theory being explored;
- interpret the output of econometric models.
| Prerequisites: | BU1007 OR BU1010 OR EC1101 OR MA1401 OR MA2401 AND BU1003 |
| Inadmissible Subject Combinations: | BX3022 EC2413 EC3413 EC5212 EC5412 EC5216 BX3025 BX2225 EC5211 |
Availabilities | |
| Townsville, Internal, Study Period 1 | |
| Census Date 27-Mar-2014 | |
| Coord/Lect: | Dr Rabiul Beg. |
| Contact hours: |
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| Assessment: | end of semester exam (45%); assignments (30%); test/quiz (25%). |
| External, Study Period 1 | |
| Census Date 27-Mar-2014 | |
| Coord/Lect: | Dr Rabiul Beg. |
| Contact hours: |
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| Method of Delivery: | WWW - LearnJCU |
| Assessment: | end of semester exam (45%); assignments (30%); test/quiz (25%). |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.