The purpose of this paper is to argue for your own causality of interest, and yo

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The purpose of this paper is to argue for your own causality of interest, and you can study any primary X variable and a primary Y variable of interest to you. If you don’t have a specific idea, I have a topic here.
Good-looking people make more money than persons with average appearance, according to popular belief. Is it true that a person’s looks have an effect on their income? I focused on waiters ‘ wages to prove this conclusion and better control for the affinity and other inter-individual variables related to beauty. Are hot waiters more likely to be tipped than the typical waitress? Tip earnings of pretty and unattractive restaurant waitresses are compared to explore if beauty can be useful and subsequently consider taste-based prejudice, preconceptions, and the capacity to negotiate.
Or you can study a topic related to this question! Please remember to let me know when you’ve decided on a topic! Here is the paper’s instruction, I will also put it in the attachment, thanks for your time!
Instructions:
Your paper should have the following, clearly labeled sections:
1. Introduction and Statement of Research Question
Pose and motivate the question to be investigated with your data and econometric model.
oGood econometric questions are generally based on economic theory; however, econometrics can be used to analyze all kinds of cause and effect relationships even if they don’t directly relate to previous theory courses. You can study just about anything that interests you. Since the goal of the project is causal identification of the effect of one variable on another, a good question should specify the one primary X variable and one primary Y variable that you are interested in.
2.Formulation of the Model
Express the question both verbally and in the form of an equation to be estimated. Be sure to include the names and units of the dependent and independent variables.
You must include at least three independent variables, but can include as many as you’d like beyond that.
Explain the mechanisms you believe pertain to your study question and why you selected the particular X variables that you did and why you didn’t select others.
You may also want to briefly cite relevant literature (e.g. previous studies) that you come across while researching your topic.
3.Data Description
Describe the data used to estimate the model. Your data set must have at least 40 observations.
oYou should construct a table that provides the mean, minimum, maximum and standard deviation (and any other summary statistics you feel are relevant) of all variables in the model.
Describe the content of the table(s) in the text of your paper.
You might also want to show and discuss key scatterplots or graphs of interest.
It is up to you as to where you find the data. Lots of economic data are available on the web (e.g. government agency websites).
Your data does not need to be strictly economic though.
oLook up Freakonomics and other work by Steve Levitt; you can study whatever interests you. If you like sports, pull some data off ESPN; if you like comic books, key in data from a price guide; if you raise horses, you may know where to get sales data; etc.
You should not simply use data that came with the book or is downloadable from the Gretl website. This is your opportunity to do something new and creative.
You may want to focus on cross-sectional data since we discuss this most in class, however if you do choose an alternate type of data analysis you should be careful in your write- up and interpretation.
To use Gretl, it may be necessary to import your data from another format (e.g., Excel, ASCII, CSV, etc.). To do this, use file  open data user file  (format).

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