Starter folder

Overview

This repo provides users with a foundation for their own projects associated with Forecasting 2020 US Election Outcomes: The Role of Employment, Education, gender, and Race.

To use this folder, click the green "Code" button", then "Download ZIP". Move the downloaded folder to where you want to work on your own computer, and then modify it to suit.

File Structure

The repo is structured as:

• data/raw_data contains the raw data as obtained from @Ces2020.
• data/analysis_data contains the cleaned dataset that was constructed.
• model contains fitted models.
• other contains relevant literature, details about LLM chat interactions, and sketches.
• paper contains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper.
• scripts contains the R scripts used to simulate, download and clean data.

Statement on LLM usage

Aspects of the code were written with the help of the AI tool, ChatGPT. Some of the introduction, data, and codes were written with the help of ChatGPT and the entire chat history is available in inputs/llms/usage.txt.