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Castle fixes #2

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Apr 17, 2020
Merged

Castle fixes #2

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43d3558
castle_1 quickfix - correcting regression formulas
ian-mcbride Apr 17, 2020
707911f
add regression summaries, update castle_5.R
ian-mcbride Apr 17, 2020
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13 changes: 9 additions & 4 deletions programs/castle_1.R
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Original file line number Diff line number Diff line change
Expand Up @@ -61,26 +61,31 @@ law <- c("cdl")

#--- Generating the formula
formula1 <- as.formula(
paste("l_homicide ~ post + ",
paste("l_homicide ~ ",
paste(
paste(xvar, collapse = " + "),
paste(region, collapse = " + "),
paste(lintrend, collapse = " + "),
paste(law, collapse = " + "), sep = " + "),
"| year | 0 | sid"
"| year + sid | 0 | sid"
)
)

formula2 <- as.formula(
paste("l_homicide ~ post + ",
paste("l_homicide ~ ",
paste(
paste(xvar, collapse = " + "),
paste(region, collapse = " + "),
paste(lintrend, collapse = " + "),
paste("post", collapse = " + "), sep = " + "),
"| year | 0 | sid"
"| year + sid | 0 | sid"
)
)

#Fixed effect regression using cdl as treatment variable
reg1 <- felm(formula1, weights = castle$popwt, data = castle)
summary(reg1)

#Fixed effect regression using post as treatment variable
reg2 <- felm(formula2, weights = castle$popwt, data = castle)
summary(reg2)
1 change: 1 addition & 0 deletions programs/castle_2.R
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Expand Up @@ -30,3 +30,4 @@ formula3 <- as.formula(
)

reg3 <- felm(formula3, weights = castle$popwt, data = castle)
summary(reg3)
44 changes: 28 additions & 16 deletions programs/castle_5.R
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Original file line number Diff line number Diff line change
Expand Up @@ -5,25 +5,37 @@ df_bacon <- bacon(l_homicide ~ post,
data = castle, id_var = "state",
time_var = "year")

summary(df_bacon)
# Diff-in-diff estimate is the weighted average of
# individual 2x2 estimates
dd_estimate <- sum(df_bacon$estimate*df_bacon$weight)

# 2x2 Decomposition Plot
bacon_plot <- ggplot(data = df_bacon) +
geom_point(aes(x = weight, y = estimate,
color = type, shape = type), size = 2) +
xlab("Weight") +
ylab("2x2 DD Estimate") +
geom_hline(yintercept = dd_estimate, color = "red") +
theme_minimal() +
theme(
legend.title = element_blank(),
legend.background = element_rect(
fill="white", linetype="solid"),
legend.justification=c(1,1),
legend.position=c(1,1)
)

bacon_plot

# create formula
# drop one additional region variable due to colinearity
formula <- as.formula(
paste("l_homicide ~ post + lead9 + lead8 + lead7 + ",
"lead6 + lead5 + lead4 + lead3 + lead2 + lead1 + ",
"lag1 + lag2 + lag3 + lag4 + lag5 + ",
paste(
paste(xvar, collapse = " + "),
paste(subset(region, region != 'r20003'),
collapse = " + "),
paste(lintrend, collapse = " + "), sep = " + "),
"| year + sid"
)
)
formula4 <- as.formula(
'l_homicide ~ post | year + sid | 0 | sid')

reg <- felm(formula = formula, data = castle)
summary(reg)
# Simple diff-in-diff regression
reg4 <- felm(formula = formula4, data = castle)
summary(reg4)

# Note that the estimate from earlier equals the
# coefficient on post
dd_estimate