Module: Economic Estimation & Inference

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Economic Estimation & Inference
Module Code	EF303 (ITS) / ECO1011 (Banner)
Faculty	DCU Business School	School	DCU Business School
Module Co-ordinator	Ann Largey
Module Teachers	-
NFQ level	8	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

None
Array

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

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

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	2	No Description
Lecture	2	No Description
Total Workload: 4

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

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

Assessment Breakdown
Continuous Assessment	40%	Examination Weight	60%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	Students will apply the techniques learned using a real data set to investigate a research question.	40%	n/a

Reassessment Requirement Type
Resit arrangements are explained by the following categories: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1

Indicative Reading List

J. Wooldridge: 2020, Introductory Econometrics, 7, Cengage, 9780717143795

Other Resources

None