The overall aim of this course is to provide students with an advanced understanding of the principles underlying estimation methods and hypothesis tests in econometrics. The course first covers basic probability theory, then introduces asymptotic approximation theory, and finally moves to statistics and econometrics. To focus on general ideas, the course abstracts from real-world issues and turns to the laboratory/sandbox called mathematics.
 

Research-Led Teaching

This course teaches the advanced methods at the cutting edge of econometric research.

Examination Material or equipment

None

Required Resources

The main textbook for the course is Econometric Analysis of Cross Section and Panel Data by Jeffrey Wooldridge.

In addition you may want to consult these fantastic books:

• A Primer in Econometric Theory by John Stachurski.
• Econometric Analysis by William H. Greene
• Econometrics by Bruce Hansen (available as a free pdf online)

The books by Wooldridge, Stachurski and Greene are available for 2 hour loan at Chiefly library.

Staff Feedback

Students will be given feedback in the following forms in this course:

• written comments on weekly assignments
• verbal comments during lectures and tutorials
• verbal comments during consultations

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.

Other Information

Course website

All relevant course material (lecture slides, assignments, etc.) will be available under https://juergenmeinecke.github.io/EMET8014/

Assumed knowledge

This is a PhD level course. Assumed knowledge includes

• set theory, functions
• sequences, series, limits
• univariate and multivariate calculus (incl derivatives and integrals)
• linear algebra

Class Schedule

Week/Session	Summary of Activities	Assessment
1	Ordinary Least Squares Estimation
2	Instrumental Variables Estimation
3	Nonlinear Model Estimation

Tutorial Registration

Instruction on how to enrol for tutorials will be available on the Wattle site.

Assessment Summary

Assessment task	Value	Due Date	Return of assessment	Learning Outcomes
Assignments	40 %	25/02/2019	31/05/2019	1,2,3,4,5,6,7
Final Exam	60 %	06/06/2019	05/07/2019	1,2,3,4,5,6,7

* 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:

• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Policy and General Information 
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure

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.

Examination(s)

See Assessment Task 2

Assessment Task 1

Assignments

There will be 11 weekly assignments. Each assignment will count for a maximum of 5 points towards your total course mark. Only your 8 best assignments will be considered. (You may choose to submit fewer than 11 problem sets as only the best 8 are considered.)

Every Wednesday morning (starting week 1) an assignment will be posted to be solved and handed in by the Tuesday 11am of the following week. The weekly deadlines are sharp. Late assignments will not be accepted under any circumstances. The last problem set will be posted in week 11.

The assignments will be discussed during tutorial sessions after you have handed in your solutions. For example, you will discuss assignment 1 in the week 2 tutorials.

Each assignment is marked out of 5 based on the rubric below.

Rubric

Points	Mathematical accuracy	Mathematical errors	Comprehensiveness	Presentation	Note
5	Absolutely accurate	Completely free of errors	Answering all questions	Clean, clear, transparent	All of these are necessary
4	Overwhelmingly accurate	Overwhelmingly free of errors	Answering all questions	Clean, clear, transparent	All of these are necessary
3	Mostly accurate	Mostly free of errors	Answering all questions	Clean, clear, transparent	All of these are necessary
2	Mostly accurate	Mostly free of errors	Answering more than 60% of questions	Clean, clear, transparent	All of these are necessary
1	Mostly accurate	Mostly free of errors	Answering more than 40% of questions	Clean, clear, transparent	All of these are necessary
0	Mostly inaccurate	Not mostly free of errors	Answering no more than 40% of questions	Not clean, not clear, not transparent	Any of these are sufficient

Assessment Task 2

Final Exam

There will be one compulsory final exam. Details about format of the exam, reading and writing times will be given at the beginning of week 11.

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

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) as submission must be through Turnitin.

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

The marked assignments will be returned to you during the weekly tutorial sessions. Assignment 1 will be returned to you during the week 2 tutorial, assignment 2 during the week 3 tutorial, and so forth. If you miss a tutorial, you can pick up your assignment in a subsequent tutorial.

When you receive a marked assignment back you should check if you agree with the marking. If not, you must raise your concerns immediately (by the end of the tutorial) with your tutor. The tutor will then keep your assignment for reconsideration. Important: Once you leave the tutorial with your assignment you forgo your opportunity for remarking. We will not, under any circumstances, remark any assignments for which you have not raised your concerns in the tutorial session during which the assignment was returned to you.

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

Not permitted

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).

• ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
• ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
• ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
• ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
• ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
• ANUSA supports and represents undergraduate and ANU College students
• PARSA supports and represents postgraduate and research students