ECON 7001 - Econometrics PG
North Terrace Campus - Semester 1 - 2017
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General Course Information
Course Details
Course Code ECON 7001 Course Econometrics PG Coordinating Unit Economics Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Available for Study Abroad and Exchange Y Prerequisites ECON 7051 or equivalent Assumed Knowledge Basic OLS (ordinary least squares) regression model, introductory statistics Restrictions Available to MFin&BusEc, MHlthEcPol, GCertAppEc, GCertIntEc, GDipIntEc, GDipAppEc & MAppEc students only Assessment Typically, tutorial participation, tests, assignments & a final exam Course Staff
Course Coordinator: Dr Nicholas Sim
Dr. Nicholas Sim
Email: nicholas.sim@adelaide.edu.au
Office location: Nexus 10, Level 4, Room 4.46
Telephone: 8313 4927
Office hours: TBA
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course, students will be able to:
- Research with econometrics
- Explain econometrics concepts and results intuitively
- Derive econometric results mathematically
最新糖心Vlog Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
最新糖心Vlog Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1,2,3 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
1,2,3 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
1,2,3 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1,2 Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
1,2 -
Learning Resources
Required Resources
Wooldridge J.M. (2016) Introductory Econometrics, 6th Edition. Cengage Learning.Recommended Resources
Angrist J.D. and Pischke J.S. (2008) Mostly Harmless Econometrics: An Empiricist's Companion. Princeton 最新糖心Vlog Press.Online Learning
MyUni Course WebPage provides lecture notes, computer lecture notes, homework questions, solutions and practice exams. Please check this page frequently for important announcements and corrections.
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Learning & Teaching Activities
Learning & Teaching Modes
Classes will meet twice per week, for a 2-hour lecture and a 1- hour tutorial. Students are expected to be present for all lectures and actively participate in all tutorial activities. The lecturer will hold office hours except for breaks and holidays, with additional hours held by the tutor.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
The standard postgraduate workload for a full-time student is 48 hours per week which equates to 12 hours per 3 unit course. This course has two hours of lectures and one hour of tutorials each week, which means that students should undertake nine hours of self-study each week of the teaching term.
Weekly homework assignments are issued, two of which are to be submitted and graded at the discretion of the lecturer. All students may be asked to present their solutions during each tutorial session.
Learning Activities Summary
Teaching & Learning Activities Related Learning Outcomes Class presentation 1,2 Minor research project 1,2 Lectures 2,3 Tutorials 2,3
The tentative outline of the course (subject to change) is:
1. Review of Mathematical Tools, Probability Distributions and Statistical Inference (Wooldridge: Appendices A-C)
a. Basic mathematical tools
b. Probability distribution
c. Point and interval estimation
d. Large sample properties of estimators
e. Hypothesis testing and confidence intervalslg
f. Matrices
2. Linear Regression Analysis (Wooldridge: Chapters 1-3)
a. Economic Data
b. Simple linear regression and ordinary least squares (OLS) estimation
c. Multiple linear regression
d. The properties, expected value and the variance of the OLS estimator
3. Issues in Multiple Regression Analysis (Wooldridge: Chapters 4-7)
a. Inference and hypothesis testing
b. Large sample properties of the OLS estimator
c. Other functional form
d. Goodness of fit
e. Qualitative data (Binary variables)
4. Heteroskedasticity (Wooldridge: Chapter 8)
a. Heteroskedasticity-robust inference
b. Testing for heteroskedasticity
c. Weighted least squares estimation
5. Specification and Data Issues (Wooldridge: Chapter 9)
a. Functional form misspecification
b. Proxy variables
c. Measurement errors
Subject to time availability, one or more of the following topics will be covered:
6. Panel Data (Wooldridge: Chapters 13-14)
a. Fixed effects estimation
b. Random effects estimation
7. Limited Dependent Variable Models and Sample Selection Corrections (Wooldridge: Chapter 17)
a. Logit and probit models
b. Tobit models
c. Poisson regression model
d. Models with censored and truncated data
e. Sample selection
8. Instrumental Variables Estimation and Simultaneous Equations Model (Wooldridge: Chapters 15-16)
a. Instrumental variables
b. Two-state least squares estimation
c. Simultaneity bias in OLSSpecific Course Requirements
Homework completion may require access to STATA. If you do not have STATA at home, you may use the computer labs on campus. Please refer to for further details.
For course related questions, students are encouraged to utilise the designated office hours of the lecturer and the tutor. Questions over the telephone are strongly discouraged.
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Assessment
The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Assessment Task Due Date/ Week Weighting Length(Word,Time) Learning Outcomes Oral Presentation (group work) Week 13 15% N/A 1,2 Report (group work) Week 15 25% N/A 1,2 Tutorial (individual assignment) Week TBA 10% N/A 2,3 Mid-term Test Week TBA 20% N/A 2,3 Final Exam Week 15 30% N/A 2,3 Total 100%
Unless instructed otherwise, students are permitted to bring in an A4 size cheat sheet with both sides written for the midterm test and final exam.Assessment Related Requirements
1 - Attendance in class and tutorials is required.
2 - To gain a pass, a mark of at least 45% must be obtained on the final test as well as a total of at least 50% overall.Assessment Detail
Homework will be posted each week. The lecturer will choose two of the weekly homework assignments to be submitted and graded. For homework to be turned in, missed or late submissions will not be accepted and will be graded 0.
Supplementary midterm test and homeworks will not be given to replace the missed ones. Unless instructed otherwise, students are permitted to bring in an A4 size cheat sheet with both sides written for the midterm test and final exam.
Unless there are valid reasons and documentations, missed test or examination will be graded 0. Please refer to the Modified Arrangements for Coursework Assessment Policy (and the Schedule to the Policy) for further details about eligibility and application forms.Submission
Submission of the assignments is required as per instructions on MyUni.Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
Additional Assessment
If a student receives 45-49 for their final mark for the course they will automatically be granted an additional assessment. This will most likely be in the form of a new exam (Additional Assessment) and will have the same weight as the original exam unless an alternative requirement (for example a hurdle requirement) is stated in this semester’s Course Outline. If, after replacing the original exam mark with the new exam mark, it is calculated that the student has passed the course, they will receive 50 Pass as their final result for the course (no higher) but if the calculation totals less than 50, their grade will be Fail and the higher of the original mark or the mark following the Additional Assessment will be recorded as the final result. -
Student Feedback
The 最新糖心Vlog places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the 最新糖心Vlog to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
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- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
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