library(Zelig)
##### Example 1: Basic Example with First Differences #####
# Attach sample data and variable names:
data(macro)
# Estimate model and present a summary:
z.out1 <- zelig(unem ~ gdp + capmob + trade, model = "normal", data = macro)
# Set explanatory variables to their default (mean/mode) values, with
# high (80th percentile) and low (20th percentile) values:
x.high <- setx(z.out1, trade = quantile(macro$trade, 0.8))
x.low <- setx(z.out1, trade = quantile(macro$trade, 0.2))
# Generate first differences for the effect of high versus low trade on
# GDP:
s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
# Summarize the fitted model
summary(z.out1)
# Summarize the simulated quantities of interest
summary(s.out1)
# Plot the simulated quantities of interest
plot(s.out1)
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