STRUCTURE OF THE FINAL PAPER and DELIVERABLES
\nThis is a guideline to build your paper. Thus, a solid structure will look like organized in the following sections. A good paper should generally include all parts as listed below for a full analysis. For each part, select the methods that will properly fit the context of your analysis and the nature of your data and provide arguments to support your choices. If you feel to go beyond the analyses we did in class, I will not discourage you to do so but make sure you know what you are doing!
\nIntroduction: brief description of the foundations of your question(s). You can use some literature of any kind to explain why your questions are relevant. So, what are you planning to do? Why is it important? Make sure to have a good match between the question(s) you are asking and the data you have been able to collect.
\nData:
\nData sources: describe precisely where you got the data from and the overall dataset nature.
\nVariables (name, description, construction):
\nwhat is\/are your dependent variable(s): Aim for a dependent variable that can be treated as continuous.
\nwhat is\/are your independent variable(s): Aim for at least one independent variable that can be treated as continuous.
\nwhat is\/are your control variable(s)
\nDescriptive statistics: output (statistics + graphs) and interpretation
\nCorrelation analysis: output (statistics + graphs) and interpretation
\nOne-sample\/two-sample tests: output (statistics + graphs) and interpretation
\nRegression analysis: output (statistics + graphs) and interpretation, in particular
\nModel only with controls
\nModel only with independent variables
\nModel with independent variables and controls (full model)
\nPerform at least one model with an interaction term
\nPick at least one diagnostic aspect and provide consideration about it.
\nConclusions: what does your analysis suggest from a policy\/management perspective (i.e. \u201ceconomical\u201d considerations).
\nLimitations: what are (strong) assumptions in your analysis; limitations due to data measurements, and how you would deal with it if you had better\/other\/more data.
\nTables and figures: you can embed the main tables and figures and output in general in the text (preferred option) and use the Tables and Figures section to add those that are additional
\nAppendix: you can use this section to place more material of any kind, but the use of appendices should be limited.
\nReferences
\nYOU NEED TO ATTACH ALSO THE FOLLOWING FILES:
\nDataset used (final, cleaned, ready to use) in a DTA format.
\nDO file with all your coding. The DO file has to be well crafted, with notes and references to the final paper. For example, each line of code that creates any output must have a reference to the page of the paper where the output is placed.
\nFinal note: It is an individual assignment and papers are checked for any plagiarism. Also note there is a maximum number of 15 pages for a paper, all included.<\/p>\n","protected":false},"excerpt":{"rendered":"
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