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代做Econometrics作业、dataset作业代写

来源:珠穆朗玛网 发布时间:2019-11-27

代做Econometrics作业、dataset作业代写、Java语言作业代写、代做Python、C++编程设计作业
Econometrics
Project Guidelines
An ideal structure may be the following one:
1. Executive summary (≈ 1/4 page)
It is a brief presentation of the topic, the data you have chosen, the methodology and
the results you have. You could also assume that the reader does not have neither a
degree in Statistics, nor a knowledge about the topic.
2. Introduction
Give more details about your topic, explain why it is important and what are your
contributions.
3. Data
If the quality of your data is poor, even a good model will not work. Explain what
are the variables in your dataset and what they measure, what is the unit of measure,
how they are made, why you have chosen them and why they may be useful in order
to answer to your questions. Remember that you have to convince the reader that
the quality of your dataset is good. It is also better to have a precise idea of the
distributional behaviours of these variables.
4. Methodology
Describe and discuss the statistical tools you have used and the reason why. Explain
why they are helpful in answering your questions.
5. Analysis
This is the moment to be detailed. Show the main results, jointly with tables and
graphs, if there are any. Remember that the goal is to provide evidence about your
initial question.
6. Discussion
Describe how your results are useful in order to answer your question. Be honest and
discuss the weaknesses of your analysis. You can also give some intuitions about further
developments.
7. Appendix
Here there are all the details that are too complex or too long to be reported before.
1
The rules are the following ones:
1. The final mark for this project takes into account several aspects:
(i) Originality: Do not use examples already made in class, even with some modifi-
cations. Be creative and independents in using the concepts explained during all
the semester, even in different frameworks.
(ii) Quality of the report: In terms of subject, data, methodologies, presentation of
the results, conclusions and codes.
2. You have to send a .zip file containing the project, the database and the codes. The
project has to be in .pdf format while the code has to be in .R format. The upload
has to be done on Moodle.
3. The code that you send must be operative.
4. It is an individual project.
Further suggestions are:
1. First choose the question, then have a look at the data. Do not try to adapt your
question to the first dataset you find.
2. Pay attention to the methodology, show the descriptive statistics and try to implement
different models.
3. Choose a title different from Econometrics Project and try to make it interesting.
4. Cite previous works and the results they have, if any.
5. Use the right number of graphs and tables. Too many graphs and tables may divert
the attention from the most important results.
6. Graphs and tables must be clear and easy to read. Label both axes, give a proper scale
and show an explanation of the most important conclusions.
7. A model works under some assumptions. Discuss the assumptions you made and their
quality, eventually in the appendix. Just as an example, if you use some function in R
that assumes homoscedasticity of the residuals it is better to check if this assumption
holds in your data.
8. Write a clear code, divide the script into sections and briefly describe the main points.
9. Try to write around 5 pages, appendix and codes excluded.

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