- Class Number 4325
- Term Code 3230
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- Dr Juergen Meinecke
- Dr Juergen Meinecke
- Class Dates
- Class Start Date 21/02/2022
- Class End Date 27/05/2022
- Census Date 31/03/2022
- Last Date to Enrol 28/02/2022
The course covers advanced estimation methods in econometrics. Specific topics include: projections and ordinary least squares estimation; endogeneity; instrumental variables and two stage least squares estimation; maximum likelihood estimation of models with limited dependent variables. The course is primarily theoretical and looks at various estimators and their finite sample and asymptotic properties.
Upon successful completion, students will have the knowledge and skills to:
- define OLS, IV and maximum likelihood estimators mathematically;
- derive and examine finite sample and asymptotic properties of these estimators analytically;
- demonstrate an understanding of the strengths and limitations of the different estimators;
- employ linear algebra in key econometric derivations;
- apply econometric theory to concrete examples in economics.
This course teaches the advanced methods at the cutting edge of econometric research.
Examination Material or equipment
Exams will be held remotely through the Wattle Class Site. Stable and reliable internet connection is necessary and a webcam required for invigilation..
The main textbook for the course is Econometrics by Bruce Hansen (available as a free pdf online, find it!).
In addition to the freely available book by Hansen, you may want to consult these awesome books:
- A Primer in Econometric Theory by John Stachurski.
- Econometric Analysis by William H. Greene
- Econometric Analysis of Cross Section and Panel Data by Jeffrey Wooldridge
I have requested these books for 2 hour reserve at Chifley library (ebook versions where possible).
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
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.
All relevant course material (lecture slides, assignments, etc.) will be available under https://juergenmeinecke.github.io/EMET8014/
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
|Week/Session||Summary of Activities||Assessment|
|2||Ordinary Least Squares Estimation||weekly assignments|
|3||Ordinary Least Squares Estimation||weekly assignments|
|4||Ordinary Least Squares Estimation||weekly assignments|
|5||Instrumental Variables Estimation||weekly assignments|
|6||Instrumental Variables Estimation||weekly assignments|
|7||Instrumental Variables Estimation||weekly assignments|
|8||Instrumental Variables Estimation||weekly assignments|
|9||Instrumental Variables Estimation||weekly assignments|
|10||Maximum Likelihood Estimation||weekly assignments|
|11||Limited Dependent Variable Models||weekly assignments|
|12||Extremum Estimators, M-Estimation||no new assignment in last week|
It is not necessary to enroll for tutorials, the course is small and a dedicated time slot is already set.
|Assessment task||Value||Learning Outcomes|
|Analytical assignments||30 %||1,2,3,4,5|
|Computational assignment||10 %||1,2,3,4,5|
|Final exam||60 %||1,2,3,4,5|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
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:
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 Academic Integrity . In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.
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.
Weekly course activities are structured in the following way:
- Lecture material is available in form of pdf slides and pre-recorded screencasts;
- Tutorials (two hours) offered live on campus and simultaneously live-streamed for remote access (please see timetable for details).
The tutorials are discussion based and will not be recorded, nor will worked solutions be provided. Tutorials benefit considerably from your participation and engagement.
Students who, through unavoidable and unplanned occurrences, are unable to attend a tutorial are encouraged to work through the problems and attend a consultation session
for discussion and solutions.
Attendance at live activities, while not compulsory, is expected in line with “Code of Practice for Teaching and Learning”, clause 2 paragraph (b).
See Assessment Task 3
Assessment Task 1
Learning Outcomes: 1,2,3,4,5
There will be 11 weekly assignments. Each assignment will be marked out of 5. Only your 8 best assignments will be considered towards your final course mark. (You may choose to submit fewer than 11 problem sets as only the best 8 are considered.) The total mark on your 8 best assignments will be multiplied by 3/4 to yield a maximum mark of 30 to reflect that the assignments count 30% towards your final course mark.
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.
No late assignments under any circumstances!
|Level of attainment:||Exemplary||Competent||Developing|
Description of criterion
Clean write up, sensible structure, transparent organization, well presented
Analytical derivations are being kept minimal
Derivations are mathematically correct
Assessment Task 2
Learning Outcomes: 1,2,3,4,5
There will be one computational assignment that covers the material covered in the weekly computer labs. The computational assignment will be posted in week 7, is due in week 9, and will be returned by week 11.
Assessment Task 3
Learning Outcomes: 1,2,3,4,5
A final exam will be held during the ANU exam period and will be delivered online through the Wattle Class Site. The exam will cover material presented throughout the entire course. The final exam is compulsory to attend. The format of the final exam will follow the format of the practice exams that are available on the course website. Reading time is 0 minutes, writing time is 120 minutes. Further details will be provided during lecture by week 10.
Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.
The ANU commits to assisting all members of our community to 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 be familiar with the academic integrity principle and Academic Misconduct Rule, 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 Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.
You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of your assignment for your records.
Submission will be online via Wattle file upload. Details provided during the week 1 and 2 lectures (with timely reminders throughout).
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.
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.
Analytical assignments will be returned in the week following the submission due date. For example: Assignment 1 will be returned to you in week 2, assignment 2 in week 3, and so forth.
When you receive a marked assignment back you should check immediately if you agree with the marking. If not, you must raise your concerns promptly (within one week of receiving the assignment). We will not, under any circumstances, remark assignments for which you have not raised your concerns within this time frame. Reminders of this policy will be given on several occasions throughout the semester.
Extensions and Penalties
Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted 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
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
Dr Juergen Meinecke