Difference-in-differences

Example: Triskaidekaphobia and apartment prices

Read the article Why do buildings skip the thirteenth floor?

After reading, answer the following with your group:

  • How did the authors apply the difference-in-differences (DiD) framework to this setting?
  • Do you think the assumptions they made were reasonable?
  • What regression model underlies their DiD analyses?
  • Why did the authors repeat their analyses after matching relabelled and not relabelled apartment buildings?

Underlying code and data: GitHub repo

library(tidyverse)

nyc <- read_csv("https://raw.githubusercontent.com/MadisonHardesty/13th-Floor/refs/heads/main/dataNYC.csv")