The philosophy of Case Studies is that the best way to learn how to research is to do research. Students conduct, under the supervision of faculty, their own research projects, culminating in the writing of a research paper. Lectures will be given on a selection of topics that can prove useful in research.

Learning Outcomes

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

1. formulation of research objective
2. execution of a research agenda to adress the research objective
3. a demonstration of your competency in the research methods your objective mandates
4. writing a research paper
5. presentation of the research project

Research-Led Teaching

This course has a heavy research focus. Students will be required to replicate existing applied econometric research on real data, and extend this research using their own research questions and ideas.

Examination Material or equipment

Stable and reliable internet connection, a microphone and a webcam for student presentations.

Required Resources

Students will be given a list of required readings in the first lecture of the course. This will include (a) texts that summarise the main techniques used in the course (available online through the ANU Library) (b) between 6-8 compulsory case-studies of applied econometrics that will be used in lectures and (c) between 6-8 case-studies that will form the basis of student assessment. Computer Labs will be delivered on campus and online using STATA.

Recommended Resources

Whether you are on campus or studying remotely, there are a variety of online platforms you will use to participate in your study program. These could include videos for lectures and other instruction, two-way video conferencing for interactive learning, email and other messaging tools for communication, interactive web apps for formative and collaborative activities, print and/or photo/scan for handwritten work and drawings, and home-based assessment.

ANU outlines recommended student system requirements to ensure you are able to participate fully in your learning. Other information is also available about the various Learning Platforms you may use.

Staff Feedback

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

• Worked answers for Quiz 1
• Verbal feedback on Research presentation
• Written feedback on Research proposal and report
• Computer Lab worked examples

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). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Other Information

Course Format

Lecture:  In person, recording uploaded on ECHO360. Approximately two hours per week

Computer Lab: Combination of online and in-person. Approximately two hours per week. To be confirmed at start of semester.

Class Schedule

Week/Session	Summary of Activities	Assessment
1	Introduction to Course and Continuous Data I During this first lecture, we will introduce the content of the course and discuss different types of data that can be used in applied econometrics. We will talk about the concept of an independent and a dependent variable, and different ways to analyse data. We will introduce the main techniques for analysing individual-level data for continuous dependent variables. We will introduce the potential topics for student assignments, and discuss how to access data No Computer Labs
2	Continuous Data II During the lecture, we will continue the discussion of analysis of continuous dependent variables by looking at univariate and bivariate analysis. We will cover simple linear regression and then extend this to multiple linear regression (when there is one dependent variable and more than one independent variable). Computer Lab: Introduction to STATA and data management
3	Categorical Data I During the lecture for this week, we will discuss one of the main extensions to micro-econometrics, the use of non-continuous dependent variables. We will begin by looking at binary dependent variables (yes/no) and how to calculate and interpret odds ratios and marginal effects in Logit/Probit regression. Computer Lab: Linear regression and dummy variables	Assessment Task 1 due
4	Categorical Data II We will extend our analysis of categorical dependent variables by looking at instances of more than two categories. This includes multinomial Logit/Probit; ordered Logit/Probit; and count data Computer Lab: Logit/Probit and calculation of predicted probabilities	Assessment Task 2 due
5	Time Series I We will switch the focus of our analysis during this lecture, and look at the analysis of aggregate data, with a particular focus on time series analysis. We will discuss the concepts of (and main techniques for) lags, autocorrelation, stationarity, and structural breaks. Computer Lab: Multinomial and Ordered Logit/Probit	Assessment Task 2 due
6	Time Series II During this lecture, we will finish off our discussion of time series econometrics, with a focus on commonly used models in time series analysis, including AR, ADL, ARCH/GARCH, VAR and ECM models. Computer Lab: Introduction to time series analysis	Assessment Task 3 due
7	Panel Data I We will extend our analysis of 'time', by looking at the main techniques for panel data analysis. That is, when we have more than one observation, for more than one individual. We will begin our discussion of panel data by discussing pooled regression and differencing. Computer Lab: Time series models, dynamic causal effects and forecasting	Assessment Task 2 due
8	Panel Data II We will extend our analysis of panel data by looking at fixed and random effects regression We will continue the discussion of analysis of continuous dependent variables by looking at multiple linear regression (when there is one dependent variable and more than one independent variable). We will discuss the assumptions underlying linear regression, and the different ways in which they can be violated. Computer Lab: Panel data analysis	Assessment Task 2 due
9	Assumptions in Econometric Models We will discuss the assumptions underlying econometric models (in particular linear regression) in more detail, the different ways in which they can be violated, as well as potential solutions. Computer Lab: Assistance with case studies project	Assessment Task 2 due
10	Student presentations	Assessment Task 4 due
11	Presenting Data We will discuss some of the practicalities of summarising data for an academic or policy audience. Computer Lab: Assistance with case studies project
12	Summary and Questions on Case Study Computer Lab: Assistance with case studies project	Assessment Task 5 due

Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage. https://www.anu.edu.au/students/program-administration/timetabling].

Assessment Summary

Assessment task	Value	Due Date	Return of assessment	Learning Outcomes
Online Quiz 1	5 %	12/08/2022	26/08/2022	3
Participation in Computer Labs	5 %	*	*	3
Proposal	15 %	02/09/2022	23/09/2022	3
Research presentation	10 %	10/10/2022	21/10/2022	1, 2
Research report	45 %	28/10/2022	01/12/2022	2, 3, 4, 5
Online Quiz 2	20 %	11/11/2022	01/12/2022	4, 5

* 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 Integrity Rule before the commencement of their course. Other key policies and guidelines include:

• Academic Integrity Policy and Procedure
• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Guideline and General Information 
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure
• Code of practice for teaching and learning

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 Academic Skills website. 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.

Participation

Lectures for EMET8002 will be delivered live on campus and ECHO360 Recordings will be posted on Wattle for students who are unable to come on campus. Computer labs will also be on campus with a lab via zoom for those unable to attend due to travel restrictions. The teaching mode is subject to change in line with COVID-19 circumstances. Details on the delivery of this course and expectations of student participation are outlined in further detail on the Wattle course site in O-week. Attendance at synchronous activities, while not compulsory, is expected in line with “Code of Practice for Teaching and Learning”, clause 2 paragraph (b).

Assessment Task 1

Online Quiz 1

Students will undertake a quiz through Wattle based on the content covered in Weeks 1 to 3. Students will have one week to complete the quiz online and can do so at any time before the due date (through Wattle). The quiz will consist of a combination of multiple choice and short answer questions. Students will be required to explain concepts, interpret econometric results, and undertake basic analysis. It is expected that the quiz will have 3 questions. Further information will be available on Wattle in week 1.

Assessment Task 2

Participation in Computer Labs

Your participation in computer lab discussions each week will be assessable, counting for 5% of your final grade. There are 10 computer labs throughout the semester, participation is expected in the majority of these sessions. We will offer face-to-face computer labs, as well as a computer lab via Zoom for students unable to attend due to travel restrictions. Each week the tutor will mark your participation based on your level of engagement in the session and demonstrated understanding of the material discussed. For example:

• higher marks (8-10) will be awarded for consistent demonstration of engagement and demonstration of a high level of understanding of the majority of the material discussed each week;
• 7 is awarded for somewhat consistent demonstration of engagement and demonstration of a reasonable level of understanding of the majority the material discussed each week;
• 6 is awarded for somewhat consistent demonstration of engagement and demonstration of a reasonable level of understanding of the some of the material discussed each week;
• 5 is awarded for somewhat inconsistent demonstration of engagement and demonstration of passable level of understanding of the material discussed each week;
• less than 5 is awarded for inconsistent to little demonstration of engagement and rudimentary to little demonstration of understanding of the material discussed each week.

A partway mark will be provided to you in week 6.

More details will be given in Week 1.

Assessment Task 3

Proposal

Students will submit a 1000-word research proposal based on their independent research. Students will be able to choose one of eight research reports that they will be required to replicate and make a minor extension to. These will be provided via Wattle on or before Week 1 of class. Students can also request to replicate and extend a paper outside of the eight suggested by the lecturers. This proposal should include a brief summary of the main findings, methods and data of the original paper, as well as the proposed extension. Submission will be via turnitin.

More details will be given in Week 1.

Assessment Task 4

Research presentation

Students will give a five minute presentation on their own independent research. It is highly recommended that students present on the same paper from their Research Proposal. However, students are able to change with permission from the Convenor. Students will give the presentations during Week 10 during the time allocated to the computer lab and lecture in person or via zoom. It is expected that students will participate in and comment on the presentations of other students. Presentations will be video recorded, which will enable later validation and verification of assessment if required (in accordance with point 7 in the ANU Student Assessment (Coursework) policy).

More details will be given in Week 1.

Assessment Task 5

Research report

Students will submit a 4,000-5,000 word essay based on their independent research. It is highly recommended that students present on the same paper from their Research Proposal and Presentation. However, students are able to change with permission from the Convenor.

More details will be given in Week 1.

Assessment Task 6

Online Quiz 2

Students will undertake a quiz through Wattle based on the content covered in the entirety of the course. Students will have two weeks to complete the quiz finishing in the final exam period, and can complete at any time during the two-week window. The quiz will consist of short answer questions, as well as a short essay based on an additional set of applied econometric readings (provided at the end of the course through Wattle). Students will be required to explain concepts, interpret econometric results, and undertake basic analysis.

More information will be available in Week 1.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.

The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.

The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

 

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

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) 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

Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

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.

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 Access 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