Данный документ содержит исчерпывающую информацию о порядке проведения экзамена по дисциплине «Эконометрика». В материале подробно описаны организационные требования к выполнению работы в среде STATA, правила оформления отчета, критерии оценивания по разделам (теория, данные, результаты), а также система штрафных санкций и порядок подачи апелляций. Руководство предназначено для студентов, готовящихся к прохождению итоговой лабораторной работы.
Econometrics I: Exam (Lab work)
Short description of the examination:
- In the Exam a student receives a research question and a dataset. (S)he has 2 lessons (1.20 min+1.20 min) to find an answer for the research question and to write a short report (max 10 pages with STATA outputs, Arial, 12pt, 1 spaced).
- Students must use STATA to take this Exam.
- It is a closed book examination.
Organisational Details:
- Students take the online Lab work in MS Teams. You will be proctored during the Lab work period by the lecturer and/or TA.
- Students have to submit their solutions via LMS. Other submissions (via e-mails, MS Teams) will not be taken into account together with any late submissions no matter the reason is. You have to upload do-file to the folder “Do-file exam” and report (.docx) to the folder “Report exam”.
IMPORTANT:
- Report is a word document that must be saved and submitted only in the .docx file format. The code of your solution must be saved in the .do file format.
- Your work will be accepted and graded only if (1) your report will be uploaded in the .docx format (2) you will upload both files – report and do-file.
- Plagiarism must be no more than 20% in your report. If the plagiarism is more than 20% (you copied and pasted comments of others) – the final mark for the Lab work will be 0.
Assessment Criteria: Exam1
| Criterion |
Assessment criteria |
Points |
| Theory and Research Design |
Theoretical mechanism or theory or hypothesis to justify the relationship between the dependent and the independent variable(s) |
0-there is no correct justification/theory. Incorrect justification/theory means that it explains the wrong relationship between the dependent and the independent variables. 1-there is correct and clear justification explaining why we have to expect positive or negative relationship. |
0 or 1 |
|
The choice of dependent variable is correct |
0-there is no correct justification why the student chooses this dependent variable |
0 or 1 |
|
The choice of variable of interest is correct |
0-there is no correct justification why the student chooses this variable of interest |
0 or 1 |
|
The choice of control variable is justified in a correct manner |
Correctly justified justify why each control variables have to in the model |
0 or 1 |
|
Correctly justified what relationship (positive/negative) between control variables and the dependent variable we expect |
|
0 or 1 |
| Total for Theory and Research Design |
|
|
5 |
| Criterion |
Assessment criteria |
Points |
| Data and Method |
Variable description |
There is a table with the description of each variable that student uses in the research |
0 or 1 |
|
Correct descriptive statistics |
There is correct descriptive statistics for continuous variables |
0 or 1 |
|
|
There is correct descriptive statistics for categorical/dummy variables |
0 or 1 |
|
There are necessary statistical tests or correlations |
|
0 or 1 |
|
There is a short interpretation of descriptive statistics and statistical tests |
|
0 or 1 |
|
Formal econometric model |
There is an econometric equation to be estimated |
0 or 1 |
|
Justification of data transformation |
There is a justification of the dependent variable transformation |
0 or 1 |
|
|
There is a justification of the variable of interest transformation |
0 or 1 |
|
|
There is a justification of transformation of control variables |
0 or 1 |
| Total for Data and Method |
|
|
9 |
| Criterion |
Assessment criteria |
Points |
| Results and Discussion |
Table with regressions |
Several regression models in the single table. These models are correct. |
0 or 1 |
|
Interpretation of results |
Student compares the sign of the variable of interest with the expectation and interpret its coefficient |
0 or 1 |
|
|
Student compares signs of control variables with the expected signs |
0 or 1.5 |
|
|
Student explains why some signs of control variables are different |
0 or 1 |
|
Econometric tests |
There are necessary econometric tests |
0 or 1 |
|
|
There is correct interpretation of each econometric test |
0 or 1 |
|
Conclusions |
Student answers the research question |
0 or 1 |
|
Limitations |
Student explains whether there is an endogeneity problem in your regression model (this point only counts if the regression models are built) |
0 or 1 |
|
|
Student explains why there is an endogeneity problem in your regression model (this point only counts if the regression models are built) |
0 or 1.5 |
| Total for Results and Discussion |
|
|
10 |
| TOTAL |
|
|
24 |
Bans
- Screenshots copied and pasted from STATA: minus 1
- There is an output, however there is not an interpretation of this output: minus 1
- No references to outputs in the text: minus 1
- More than 10 pages of your report: minus 1
- It is impossible to read outputs in STATA: minus 1
- No S.E. or t-statistics in the outputs: minus 1
Notes:
- The number of points received for each criterion reflects an expert’s assessment of how well and how fully the work meets the requirements given in the description of the criterion.
- ‘Correct justification, explanation’ means that student’s arguments are consistent with the economic or management or finance theory or common sense.
- Correct interpretation means that student’s text is consistent with the interpretation of outputs in econometric or statistics textbooks that we use in this course or in ‘Economic Statistics’ course.
- We use ‘proctoring’ and we use plagiarism checker.
Complaints and Appeals
- If a student things that her/his arguments are correct and professors should increase the mark, (s)he has to show at least three empirical papers in economics or management or finance published in Q1 Wos or Q1 Scopus peer-reviewed journals that use the same arguments or justifications or explanations or interpretations. If a student cannot find such research articles, we do not recalculate our marks and scores.
- If we consider student’s appeal, we can (1) keep the mark unchanged, (2) increase the mark, (3) decrease the mark. In case of dispute, the final decision regarding the matter is taken by a group of lecturers teaching this course.
Marking Scale
| Mark |
Points (Score) |
| 0 |
0 |
| 1 |
3 |
| 2 |
6 |
| 3 |
9 |
| 4 |
11 |
| 5 |
13 |
| 6 |
15 |
| 7 |
18 |
| 8 |
20 |
| 9 |
22 |
| 10 |
23 |