• Class Number 2562
  • Term Code 2930
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Tue Gorgens
  • LECTURER
    • Dr Tue Gorgens
  • Class Dates
  • Class Start Date 25/02/2019
  • Class End Date 31/05/2019
  • Census Date 31/03/2019
  • Last Date to Enrol 04/03/2019
SELT Survey Results

This is a unit in basic econometrics, emphasising the problems involved in the empirical measurement of economic relationships and the techniques used to solve these problems. While the application of econometric techniques is of prime importance, the results are not just presented but derived using a mixture of rigour and intuition so as to leave as few loose ends as possible.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. be able to conduct a basic empirical analysis of cross sectional data (observations on characteristics of several economic units, such as firms or households, at a single point in time) or time series data (observations on characteristics of one economic unit over time);
  2. have sufficient background to take EMET8001 Applied Micro-Econometrics or EMET8010 Applied Macro and Financial Econometrics or EMET8002 Case Studies in Applied Econometrics in the second semester.

Examination Material or equipment

Non-programmable calculators.

Required Resources

Essential textbooks (available on reserve in the library):

•   Stock and Watson (2015). Introduction to Econometrics. 3rd updated global edition. Pearson. Expect to cover chapters 1-14, parts of 17-18, and part of 15-16 if there is time.

•   Angrist and Pischke (2014). Mastering 'Metrics: The Path from Cause to Effect. Princeton University Press. Expect to cover chapters 1-3 and 5.

Additional readings from other sources may be assigned later, see Wattle for details.


Essential software:

There will be a lot of practical data analysis in this course using Stata. Stata is very expensive, but it is available in the PC computer labs, and you need not purchase your own license.

Other nonessential but useful textbooks (available on reserve in the library):

•   Wooldridge (2013/2015/2016). Introductory Econometrics: A Modern Approach. 6th edition. Cengage Learning. (Not to be confused with the Asia-Pacific edition!)

Staff Feedback

The two assignments are expected to be returned with written comments within two week after the submission date.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Class Schedule

Week/Session Summary of Activities Assessment
1 Week 1-6: Two-sample comparison analysis, bivariate regression, multivariate regression. Assignment #1.
2 Week 7-12: More multivariate regression, difference in differences, panel data, instrumental variables, probit/logit models, maximum likelihood estimation, and time series analysis (time permitting). Assignment #2. Final exam.

Tutorial Registration

The tutorials begin in week 1. Please register on the Wattle course site.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Assignment 1 15 % 18/03/2019 05/04/2019 1-2
Assignment 2 15 % 13/05/2019 31/05/2019 1-2
Final Exam 70 % 06/06/2019 04/07/2019 1-2

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website. Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation


 

Examination(s)

See assessment task 3.

Assessment Task 1

Value: 15 %
Due Date: 18/03/2019
Return of Assessment: 05/04/2019
Learning Outcomes: 1-2

Assignment 1

The assignment will, in part, be analysis of a given data set using Stata and discussion of results. Details will be given on the Wattle course site in due course (probably due week 4).


The assignments must be submitted in two forms: an online version submitted through Wattle, and a hardcopy version submitted in the appropriate assignment box next to the RSE reception desk in the H W Arndt building 25A.


Marked assignments will be returned to you within two weeks. Nevertheless, you may wish to keep a copy.

Assessment Task 2

Value: 15 %
Due Date: 13/05/2019
Return of Assessment: 31/05/2019
Learning Outcomes: 1-2

Assignment 2

The assignment will, in part, be analysis of a given data set using Stata and discussion of results. Details will be given on the Wattle course site in due course (probably due week 10).


The assignments must be submitted in two forms: an online version submitted through Wattle, and a hardcopy version submitted in the appropriate assignment box next to the RSE reception desk in the H W Arndt building 25A.


Marked assignments will be returned to you within two weeks. Nevertheless, you may wish to keep a copy.

Assessment Task 3

Value: 70 %
Due Date: 06/06/2019
Return of Assessment: 04/07/2019
Learning Outcomes: 1-2

Final Exam

Standard written closed-book examination held during the exam period. Duration 2-3 hours to be determined. Non-programmable calculators permitted.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Student work will be returned in the tutorial class within two weeks. Thereafter, work can collected from the tutors during regular consultation hours. Work that is not collected by the end of the semester will be destroyed.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

N/A.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Dr Tue Gorgens
0261253369
tue.gorgens@anu.edu.au

Research Interests


Econometrics

Dr Tue Gorgens

Monday 00:00 00:00
Monday 00:00 00:00
Dr Tue Gorgens
0261250384
tue.gorgens@anu.edu.au

Research Interests


Dr Tue Gorgens

Monday 00:00 00:00
Monday 00:00 00:00

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