MODELLING WITH ECONOMETRICS: CHALLENGES AND SOLUTIONS
ECM3MEC
Not currently offered
Credit points: 15
Subject outline
This subject builds on the multiple regression methodology and presents some general estimation and testing methods used in modern econometrics for applied economics and finance. The first part covers estimation and testing methods that address issues which arise when working with data that have a more general structure, such as cross-sectional data, discrete choice or outcome data and panel data. The second part of the subject will cover issues that are related to testing and estimation using non-stationary time series data in economics and finance, involving both unit root testing and co-integration. Empirical applications in economics and finance will be carried out using EVIEWS or similar software.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorJae Kim
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 3 - UG
Available as ElectiveNo
Learning ActivitiesTutorial Quizzes; Quantitative assignments; Group research assignment; Final Exam
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesECM2IE OR ECO2EME
Co-requisitesN/A
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
Career Ready
Career-focusedNo
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
Subject options
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