TLDR: https://docs.google.com/spreadsheets/d/1tIRHkmU2xn_88A3X3ohWW70E268r4Fe3TpFI8rYIQlY/edit
For many researchers, collecting, aggregating, and cleaning data is a time consuming process. Hiring undergrad research assistants can help, but the full process has significant overhead. This past semester, I worked on a stock market event study for my applied data analysis class in Wharton (BEPP 280). During the data collection process, using Bloomberg and other school resources to repeatedly download stock prices was very frustrating. Every time we wanted to modify our dataset, there was significant overhead to collecting the stock price information.