UnitLevel 3Undergraduate

ETS3410 Applied econometrics

Faculty of Business and Economics

ETS3410 Applied econometrics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics. It isn't offered in 2021. It needs ETS2410.

Credit points
6
Offered in 2021
Not offered
Assessment
No exam
3 tasks
Workload
144 hours
per semester

This is the 2021 handbook entry. See the 2022 entry.

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Requisites

Before ETS3410

Prohibitions

You can't enrol if you have passed any of these.

Prerequisites

Pass these before you enrol.

After ETS3410

No unit lists ETS3410 as a prerequisite in the 2021 handbook.

Equivalent units

The same content under another code. Only one of them counts.

Overview

This unit presents econometric models and techniques that are widely used in modern applied econometrics. Emphasis is placed on models that address the special problems that arise when analysing microeconomic data, that is, data at the level of individual consumers, households and firms. The topics covered include modelling discrete dependent variables, modelling data sets that have both a cross-section and a time-series dimension and conducting inference in models in which the dependent variable is jointly determined with one or more of the regressors. The models taught in this unit are widely used in empirical work in economics, finance and marketing.

Offerings in 2021

The 2021 handbook lists no offerings for ETS3410.

Assessment

  • Formative assessment 1
    20%
  • Formative assessment 2
    20%
  • Summative assessmentThreshold hurdle
    60%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    conduct statistical inference in statistical models with a binary dependent variable (LOGIT and PROBIT models)

  2. 2

    conduct statistical inference in statistical models with a limited dependent variable (TOBIT and Censored Regression models)

  3. 3

    conduct statistical inference in statistical models with one or more endogenous explanatory variables

  4. 4

    conduct statistical inference in a system of simultaneous equations

  5. 5

    conduct statistical inference on data that has a time series dimension.

Workload and teaching

  • Lectures48 hours
  • Tutorials24 hours
  • Teaching approachProblem-based learning

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Students will be provided with statistical problems to solve.

Learning resources

Required resources

Woolridge, J.M. (2020). Introductory Econometrics: A modern Approach. 7th edition. Cengage. ISBN: 9781337558860

Contacts

Chief Examiners
Ms Cynthia Bedwei-Majdoub

Common questions

What are the prerequisites for ETS3410?

You need ETS2410 before you enrol.

When is ETS3410 offered?

ETS3410 has no offerings listed in the 2021 handbook.

How much work is ETS3410?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ETS3410 have an exam?

No. ETS3410 has 3 assessment tasks and no exam.

More details

Credit points
6
Level
3
Study level
Undergraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 4
Study abroad
Not available
Handbook years
202020212022