最新糖心Vlog

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

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

1. Research with econometrics
2. Explain econometrics concepts and results intuitively
3. Derive econometric results mathematically

Wooldridge J.M. (2016) Introductory Econometrics, 6th Edition. Cengage Learning.

Angrist J.D. and Pischke J.S. (2008) Mostly Harmless Econometrics: An Empiricist's Companion. Princeton 最新糖心Vlog Press.

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.

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.

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, about 5 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. 

Teaching & Learning Activities	Related Learning Outcomes
Class presentation	1,2
Lectures	2,3
Homework	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 OLS

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.

Assessment Task	Task Type	Weighting	Learning Outcomes
Oral Presentation	Group	10%	1,2
Group Homeworks	Individual	10%	2,3
Individual Homeworks	Individual	30%	2,3
Final Exam	Individual	50%	2,3
Total		100%

Students are permitted to bring in an A4 size cheat sheet with both sides written for the midterm test and final exam.

See myUni for due dates.

1 - Attendance in class and tutorials is expected

 1.Practice (not for grade): Homework will be posted each week. The students will be asked to form groups at the beginning of the course and do the exercises in these groups. Although homework is not marked, all students are expected to do this homework for practice!

2. Graded Group Assignments (in groups) - 10%
-There will be about 3 group homeworks throughout the course . The homeworks that will be graded will be announced on the course page in advance and will have a clearly marked due date.

-No individual work will be accepted for this component. The group homework is submitted online.

-Best 2 out of these 3 homeworks will be counted for assessment.

-Because not all of these marks count for assessment (the "best of" policy), no special consideration will be given to students who do not submit the homwork (or submit it late) for medical, compassionate or any other reason.


2.Individual Homework - 30%:

-There will be 2 homework assignments to be submitted individually throughout the course.
-The dates and submission guidelines will be announced on the course page.
-The best 1 of these 2 homeworks will be counted for assessment.
-Because not all of these marks count for assessment (the "best of" policy), no special consideration will be given to students who do not submit the homwork (or submit it late) for medical, compassionate or any other reason.

3. Presentations (in groups) - 10%

-Students (in groups) will present published papers from established journals in tutorials in the second half of the semester.
-Dates will be discussed and posted on myUni
- This project is fully redeemable in that if students choose not to do this project or are unable to do this project or fail this project, the waiting of this project is added to the weighting of the final exam. No special consideration will be given to students who miss the project for medical, compassionate or any other reason.

3. Final exam (50%)
- The final test will be held in the lab during week 13 or 14. The dates will be announced on myUni in advance.
-This exam covers the whole semester.
-Please note that, following 最新糖心Vlog policy, dictionaries are not allowed in School of Economics exams.
-Graphics calculators or scientific calculators are allowed but are not required.
-Legible hand-writing and the quality of English expression are considered to be integral parts of the assessment process. If we can’t read what you have written, we can’t give marks for it. Students are advised to use a black pen in the exam; write clearly, BEGIN each question ON A NEW PAGE and do not use white out or pencil.

Redemption
There is no extra work that can be done to redeem individual components of assessment during the semester, no matter the reason;
Assessment marks prior to the final exam may be displayed on the course website. Students are encouraged to check their marks and notify the course coordinator of any discrepancies.


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.



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 of the assignments is required as per instructions on MyUni.

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  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.