Not currently offered

Credit points: 15

Subject outline

In this subject, students develop skills for econometrically analysing microeconomic units i.e. individuals and firms. First, students learn about the econometrics of (public or private) program evaluation. Second, techniques for analysing panel datasets of large number of individuals over short periods of time are covered. Both of these topics extend how techniques covered in ECM2IE are used. In the third topic, substantially different techniques for analysing problems where the decision variable is discrete or truncated are introduced. Individual heterogeneity and endogeneity problems will be covered where relevant. Applications are drawn from industrial economics, finance, labour economics and marketing.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorJoanna Poyago-Theotoky

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesECO2EME OR ECM2IE


Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Learning resources

Introductory econometrics: a modern approach

Resource TypeBook

Resource RequirementPrereading

AuthorWooldridge, Jeffery





Chapter/article titleN/A



Other descriptionN/A

Source locationN/A

Microeconometrics: methods and applications

Resource TypeBook

Resource RequirementPrescribed

AuthorCameron, A. Colin and Pravin K. Trivedi





Chapter/article titleN/A



Other descriptionN/A

Source locationN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Understand the econometrics of program evaluation.
02. Understand how to econometrically model and analyse panel data.
03. Understand how to econometrically analyse data which is discrete or truncated.
04. Understand the problems of identification and selection bias and their remedies.
05. Be able to perform econometric analyses using the above tools.

Subject options

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Subject not currently offered - Subject options not available.