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Unit of study_

ECMT2150: Intermediate Econometrics

This unit provides an introduction to the econometrics of cross-section and panel data. We start with a discussion of the assumptions underlying the simple and multiple linear regression model. We then build an understanding of the econometric methods available when these assumptions do not hold. More specifically, we cover heteroscedasticity and GLS, omitted variable bias, measurement error and instrumental variables. We finish with an introduction to using pooled cross sections and panel data for policy analysis and to estimate treatment effects. Throughout the unit, emphasis is placed on economic applications of the models and practical computer applications are incorporated.

Code ECMT2150
Academic unit Economics
Credit points 6
Prerequisites:
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((ECMT1010 or MATH1905 or MATH1005 or MATH1015 or DATA1001 or DATA1901 or ENVX1002) and (ECMT1020 or MATH1002 or MATH1902 or MATH1014 or DATA1002 or DATA1902)) or BUSS1020
Corequisites:
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None
Prohibitions:
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ECMT2110 or ECMT2950

At the completion of this unit, you should be able to:

  • LO1. develop a foundation of probability theory and statistical knowledge to build an econometric skill set
  • LO2. be familiar with the linear regression model
  • LO3. be aware of the guidelines for using econometric techniques effectively
  • LO4. develop the skills needed to evaluate applied economic research
  • LO5. develop proficiency in the use of econometric software for econometric modelling
  • LO6. demonstrate problem-solving skills in research and inquiry
  • LO7. evaluate ideas, views, and evidence to demonstrate proficient information literacy
  • LO8. demonstrate critical thinking in research and inquiry
  • LO9. demonstrate social and professional understanding as well as ethical awareness in analysing data and reporting results.