ECON324-19S1 (C) Semester One 2019

Econometrics

15 points

Details:
Start Date: Monday, 18 February 2019
End Date: Sunday, 23 June 2019
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 1 March 2019
  • Without academic penalty (including no fee refund): Friday, 10 May 2019

Description

This course teaches advanced skills in practical econometrics. Coverage will include the following topics: OLS, FGLS, robust standard errors, panel data, Stata programming, Monte Carlo experiments, time series, nonstationarity, and error correction models. While the course will present some theory, the emphasis in this class is on doing. A distinctive feature is that we will illustrate key concepts using computer simulations so that students can "see" the practical consequences of the issues they are studying.

Learning Outcomes

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Prerequisites

(1) ECON213 or STAT202; and (2) MATH102 or MATH199

Lecturer

Tom Coupe

Guest Lecturer

Ian Crawford (Erskine Fellow)

Assessment

Assessment Due Date Percentage  Description
Assignments 20% Weekly
Term Test 40%
Final Exam 40%

Indicative Fees

Domestic fee $806.00

International fee $3,513.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Department of Economics and Finance .

All ECON324 Occurrences

  • ECON324-19S1 (C) Semester One 2019
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