| Module Title |
Economic Estimation & Inference |
| Module Code |
ECO1011 (ITS: EF303) |
|
Faculty |
DCU Business School |
School |
DCU Business School |
|
NFQ level |
8 |
Credit Rating |
5 |
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Description
Students will learn tools for data analysis and application of these to typical questions in economics, politics and business. While the module covers statistical theory, the focus is on application
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Learning Outcomes
1. Students will learn statistical techniques (regression analysis)
2. Students will develop data analysis experience
3. Students will develop skills in using statistical sofware
4. Students will develop skills in applying the methods to common questions in business, economics and politics
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 2 | No Description | | Lecture | 2 | No Description |
| Total Workload: 4 |
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| Section Breakdown | | CRN | 10361 | Part of Term | Semester 1 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Ann Largey | Module Teacher | |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Assignment | Students will apply the techniques learned using a real data set to investigate a research question. | 40% | n/a | | Formal Examination | The exam covers theoretical knowledge as well as ability to interpret results in applied research. | 60% | End-of-Semester |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
R, |
| Compatibles |
None |
| Incompatibles |
None |
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
Econometrics
Students will learn tools for data analysis and application of these to typical questions in economics, politics and business. While the module covers statistical theory, the focus is on applications
|
Indicative Reading List
Books:
- J. Wooldridge: 2020, Introductory Econometrics, 7, Cengage, 348, 9780717143795
Articles:
None |
Other Resources
None |
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