ECON 3502 - Econometrics III

North Terrace Campus - Semester 1 - 2021

The course focuses on the estimation, inference and identification of linear regression models. Particular attention is paid to the econometric theory, to the application of econometrics to real-world problems, and to the interpretation of the estimation results. The first part of the course includes a review on statistics and an introduction to large sample theory. The second part of the course focuses on issues in linear regressions including model misspecification, measurement errors, and endogenous regressors. Topics typically include instrumental variable regressions and panel data. The course will include the use of STATA, a standard software for econometric and statistical analysis.

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Course Details

Course Code	ECON 3502
Course	Econometrics III
Coordinating Unit	Economics
Term	Semester 1
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 3 hours per week
Available for Study Abroad and Exchange	Y
Prerequisites	ECON 2504 or ECON 2515 or ECON 2517
Assumed Knowledge	ECON 1005 or equivalent
Assessment	Typically group and individual assignments and final exam

Course Staff

Course Coordinator: Dr Nadya Baryshnikova

Dr Nadezhda Baryshnikova
Email: nadezhda.baryshnikova@adelaide.edu.au
Office location: Nexus 10, Level 4, Room 4.04
Telephone: 8313 4821
Office hours: To be advised on myUni

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

On successful completion of this course, students will be able to:

1. explain econometric concepts and results intuitively

2. proficiently use STATA for econometric and statistical analysis

3. conduct independent data analysis and inquiry using the tools of statistics and econometrics

4. Interpret results and shortcomings of the analysis.

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)	1-4
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	1,3, 4
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	2,3,4
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	2,3, 4
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	3

Learning Resources

Required Resources

The required textbook is:
J.M. Wooldridge, Introductory Econometrics, 5th Edition, South-Western 2012

Online Learning

MyUni Course WebPage provides lecture notes, computer lecture notes, homework questions and solutions. Please check this page frequently for important announcements and corrections.
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.

Students who are studying offshore are able to participate in all learning activities through online learning.

Please consider using Zoom or any other preferred software for your online meetings.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

The standard undergraduate 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.

Learning Activities Summary

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 intervals

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 4-6)
a. Inference and hypothesis testing
b. Large sample properties of the OLS estimator
c. Other functional form
d. Goodness of fit

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 7)
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 OLS
d. Identifying and estimation a structural equation

Specific 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. Students may utilise the online forum of MyUni.

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	Task Type	Weighting	Learning Outcome
Group Assignments	Group	20%	1,2,3
Individual Assignments	Individual	30%	1
Final Examination	Individual	50%	1

There are no hurdle requirements.

Assessment Related Requirements

Attendance in class and tutorials is expected.

Some assignments require to use STATA which is installed in the computer labs or may be accessed via ADAPT on your personal devices. Please allow additional time for completing the assignments as the computer labs may not be always available.

Legible hand-writing and the quality of English expression are considered to be integral parts of the assessment process, and may affect marks. Marks cannot be awarded for answers that cannot be read or understood

Assessment Detail

1. There will be 3 group assignments in total. The students will be asked to form groups at the beginning of the course and do the exercises in these groups. No individual work will be accepted for this component. The group homework will be collected in tutorials. The tutor will mark one question of his/her choice. At the end of the course, best 2 out of 3 marks will count toward the semester grade for this component. Because not all of these marks count for assessment, no special consideration will be given to students who do not submit the homework (or submit it late) for medical, compassionate or any other reason.

2. There will be 2 homework assignments to be submitted individually throughout the course. The dates and submission guidelines will be
announced on MyUni. At the end of the course, best 1 out of 2 marks will count toward the semester grade for this component. Because not all of these marks count for assessment, no special consideration will be given to students who do not submit the homework (or submit it late) for medical, compassionate or any other reason.

3. The final test requirements will be posted on myUni

Missed or late submissions will not be accepted and will be graded 0. Supplementary test or examination will not be given to replace the missed ones. 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.

Each assessment addresses 最新糖心Vlog Graduate Attributes of deep discipline knowledge, critical thinking and problem solving skills, career and leadership readiness to achieve the Course Learning Outcomes 1, 2, and 3. In addition, group homework addressess 最新糖心Vlog Graduate Attributes of teamwork and communication skills and self-awareness and emotional intelligence to achieve the Course Learning Outcomes 2 and 3.

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. 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.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

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.

The 最新糖心Vlog of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 最新糖心Vlog of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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