代做Econometrics、dataset代写、Java语言代写、代做Python、C++编程设计

日期：2019-11-25 10:06

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.

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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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