Intermediate Econometrics

Course code ECON3007
Available in 2015
2015 Course Timetables

Description

This course builds on the basic econometric and quantitative techniques studied in first year. It extends students' knowledge and understanding of a range of econometric methods and techniques used to analyse data sets in economics, business and finance.

This course introduces the student to a thorough and critical coverage of econometric methods in a program of graduated complexity. It studies the properties of linear regression models under classical assumptions and explores the implications of potential violations of these assumptions.

Diagnostics for detecting violations are discussed and econometric remedies are derived. The basic theory of estimation of time-series models, systems of linear regression equations and instrumental variables, and panel data modelling are canvassed.

The course proceeds by firstly acquiring understanding of the methods involved; secondly describing the appropriate use of econometric software to provide valid, reliable results; and thirdly interpreting and commenting on the results.

Assessment is made about the strengths and weaknesses of econometric techniques and methodologies in addressing specific applied economic policy problems of critical interest to economists and business-and financial researchers and professionals.

Availability

Callaghan Campus

  • Semester 1 - 2015

Learning Outcomes

1. Demonstrate an extended understanding of a range of econometric modelling techniques;

2. Demonstrate skills in ¿hands-on¿ modelling, estimation and diagnostic testing, utilising economic and business data;

3. Critically analyse and evaluate the results of studies that have been undertaken by others using econometric techniques;

4. Engage in collaborative processes (formal or informal group works) to complete econometric modelling inquiry, employing statistical techniques, analysing data and communicating results.

Content

This course includes but is not limited to the following topics:

  1. Basic regression concepts
  2. Properties of estimators
  3. Violations of classical assumptions
  4. Estimation and hypothesis testing
  5. Simple linear and multiple regression modelling
  6. Simultaneous equations models
  7. Instrumental variable models
  8. Limited dependent variable models
  9. Time series analysis
  10. Panel data analysis

Assumed Knowledge

ECON1130 ECON1003

Assessment Items

In Term Test: Tutorial Tests

In Term Test: Mid Semester Test

Project: Research Project

Formal Examination: Final Examination

Contact Hours

Computer Lab

Face to Face On Campus 2 hour(s) per Week for Full Term

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term