I attached the link to access the data: https://bigblue.depaul.edu/jlee141/econdata/hmda/
I want comparing home mortage data between 2007 and 2017, so use those two years of data. Due to the financial crisis in 2008, I hope to draw some conclusions from comparing the data of these two years.(berfore and after the financial crisis) This is the subject of this assignment. I need both of the report type in word and SAS&R code.
Introduction (1 to 2 pages)
• Motivate your project question, i.e. briefly tell me why the broad area you
will be looking at is interesting/important.
• State your question and tell me (if it is not totally obvious) how this question
fits into the broader area you mentioned above.
• Very briefly describe how you will try to answer this question (data, methods)
and what you find (results).
1.Data (1 to 2 pages)
• Describe the data you will be using in this analysis. Briefly describe the data
including sample periods.
• Give summary statistics of your data.
– This should be presented in a Table and/or graphs. Explanation includes
general time trend, historical events that might be interested in the estimation,
and recent movements, etc.
2. Empirical Methodology (1 to 2 pages)
• Describe your estimating equation(s) in words and in math (i.e. include the
exact regression equation(s) in this section).
• Describe how the methodology is going to help you answer your question
comparing to a regression model.
3.Results (3 to 4 pages)
•
Present your results with tables and/or graphs/charts (not raw output from
SAS or R please).
• Descriptive Analytics
– Proc mean, Proc summary, Proc Uniariate, Proc sgplot of gplot, and
Maps
– Correlation analysis and Analysis of Variance (ANOVA)
– Other relative analyses including histograms and statistics
• Predictive Analytics (All required to apply to your model)
– Clustering Analysis
– Regression Model with Groups based on Clustering
– Simple, Multiple Regression on linear or nonlinear models
– Discrete Probability Model : Logistic Model
– Machine Learning techniques: Random Forest, Neural Network Analysis
• Describe your results in words (both the signs and magnitudes).
The emphasis should be on coefficients that relate to your research question,
but you may mention others. Certainly, you do NOT need to describe (in
words) ALL of the coefficients, just the important ones.
• Performance your model depending upon the predictability. You need to
show the strength of your model by comparing other alternative models. The
performances of models should be measured using a test data set, that was
not used to estimate the main model.
4.Summary of Project (1 to 2 pages)
• Summarize everything briefly (i.e. in one paragraph you should be able to
state your project question, empirical approach, and results).
• Potential shortcoming of your project and desirable future works.
5.Bibliography (1 page)
Any related work with your work
Appendix: SAS or R command file
Include all SAS or R commands used to generate the output. Codes and Data
needs to be included in separate files. Make sure all submitted SAS or R codes
without any errors. There will be very high penalty if they are not working with
errors
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