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library(lfe) | |
library(stargazer) | |
set.seed(6152011) | |
# Number of cities | |
L <- 1000 | |
# Number of industries | |
K <- 3 | |
# National growth rates by industry | |
g.raw <- runif(K) | |
g.k <- g.raw/sum(g.raw) | |
CreateCity <- function(g.k, eta.s){ | |
# Give each city some industry shares | |
K <- length(g.k) | |
z.raw <- runif(K) | |
z <- z.raw / sum(z.raw) | |
# Give each city some idiosyncratic growth by industry | |
g.kl.tilde <- g.raw/sum(g.raw) | |
# Change in employement is inner product of the national + idiosyncratic component with industry share | |
x <- (g.kl.tilde + g.k) %*% z | |
# Bartik instrument (national growth & city industry share inner product) | |
B <- g.k %*% z | |
# Realized change in wage | |
y <- (1/eta.s) * x + rnorm(1,0,1/10) | |
list("y" = y, "B" = B, "x" = x) | |
} | |
# Create a city data frame | |
city.data <- rep(CreateCity(g.k, 1), L) | |
df <- data.frame(matrix(unlist(city.data), ncol = 3)) | |
colnames(df) <- c("y", "B", "x") | |
# Estimates | |
m.ols <- felm(y ~ x | 0 | 0 | 0, data = df) | |
m.iv <- felm(y ~ 1 | 0 | (x ~ B) | 0, data = df) | |
stargazer(m, m.iv, type = "text") |
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