JestonBlu / Unemployment

Masters Project: Forecasting Unemployment

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Forecasting US Unemployment

Reproducible Research

All of the findings, models, and graphs discussed in our writeup can be reproduced using scripts from this repository. The following are a few guidelines to make sure you can run our code with minimal effort:

  • Clone or download the project to your desktop, unzip if neccesary
  • Within R, set the working directory to setwd("stat626_project location")
  • Load the seasonally adjusted dataset load("Data/Data_Prep.rda")
  • RScripts/All_Final_Models.R creates the ARIMA and VAR models
  • RScripts/Preso_Plots.R creates all of the plots used in the write up.

Project Directory

  • Data:
  • Literature:
  • Plots:
    • Preso_Plots:
    • Data_Exploration:
  • RScripts:
    • Archives:
  • Writeups:

Team Members and Responsibilities

Team Members Responsibilities
Joseph Blubaugh: Plots, Data Prep, Code Management, Modeling
Alison Shelton: Write-up, Plot Revision, LaTeX Management, Literature
Sean Roberson: Presenter, Talking Points, Literature
Travis Lilley: Model Diagnostics, Statistical Tests, Modeling, Abstract
Akarshan Puri: Modeling and Diagnostics
Bo pang: Modeling and Diagnostics

About

Masters Project: Forecasting Unemployment


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Language:TeX 67.6%Language:R 32.4%