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Unit information: Econometrics 1 in 2022/23

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Econometrics 1
Unit code EFIM20011
Credit points 20
Level of study I/5
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Polisson
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

EFIM10023 Mathematics for Economics AND
EFIM10024 Probability, Statistics and Econometrics

OR

MATH10013 Probability and Statistics

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

School/department School of Economics
Faculty Faculty of Social Sciences and Law

Unit Information

Why is this unit important?

Economics, as a social science, relies on analysis of observed data to test and improve theoretical models, with econometrics providing the tool to build causal relationships between economic variables. In this unit, you will study tools to conduct a descriptive analysis and describe the statistical relationship between variables in the data. You will also develop a deeper understanding of causal analysis, and then discuss general evaluation problems in experimental and non-experimental settings.

A strong understanding of causal analysis is imperative to understand the strategies used within empirical research papers. This unit will help you to understand empirical research, and will help you develop your own toolkit for analysing data using statistical software packages such as Stata.

How does this unit fit into your programme of study?

This unit revises, and builds upon the material seen in your year 1, probability, statistics and econometrics unit, and continues to develop the building blocks underpinning modern econometrics, and acts as a key pre-requisite for both Econometrics 2, and a number of final year units. The use of statistical software packages will also provide key preparation for students who go on to study the Applied Economics Dissertation.

Your learning on this unit

At the end of the unit students will show:

  1. a good understanding of the OLS regression methodology (what it does, its strengths and weaknesses, how to use it to test economic hypotheses);
  2. a good understanding of IV and more general evaluation methods;
  3. The ability to perform and interpret econometric analysis using a statistical software package.
  4. the ability to read and interpret economics articles which use standard econometric methods.

How you will learn

Teaching will be delivered through a combination of large and small group classes, supported by online resources

How you will be assessed

Tasks which help you learn and prepare you for summative tasks

  • Stata Assignments (x 5)
  • Written Assignments (x2)

Tasks which count towards your unit mark

  • MCQs (Best 2 out of 3) (20%)
  • Examination (2 Hours) (80%)

Each assessment assesses all learning outcomes

When assessment does not go to plan

Reassessment will be through a single 2-hour examination.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIM20011).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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