I gave a short talk at New England R Users Group in August 2010. This talk includes a short econometric regression and code to export the regression results into LaTeX or a CSV file.

1. {estout} for R
Regression Output for *.csv, *.tex Formats
Ben Mazzotta
Fletcher School
August 24, 2010
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2. 1 Regression Output
2 {estout}
Ben Mazzotta (Fletcher School) Estout Demo August 24, 2010 2 / 11

3. Regression
Y = βX + γC + (1)
Figure 1: A generic OLS regression model
Key features
Multiple specifications
α significance level
σβ precision of the coefficient estimates
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4. Output
Figure 2: Sample outreg output
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5. 1 Regression Output
2 {estout}
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6. Code I
Preliminaries
library(datasets)
data(freeny)
names(freeny)
names(freeny) <- c("y","lag.rev","price","income", "potential")
Regressions
reg1 <- lm(y ~ lag.rev + price, data=freeny)
reg2 <- lm(y ~ lag.rev + price + income, data=freeny)
reg3 <- lm(y ~ lag.rev + price + income + potential, data=freeny)

7. Code II
Output descriptive statistics
# Open the estout package
library(estout)
# Write the descriptive statistics
# Specify the objects
descsto(freeny)
# Write to files
desctab(filename="freeny", csv=FALSE)
desctab(filename="freeny", csv=TRUE)
Ben Mazzotta (Fletcher School) Estout Demo August 24, 2010 7 / 11

8. Code III
Output regression estimates
# Store the objects
eststo(reg1)
eststo(reg2)
eststo(reg3)
# Write to file
esttab(filename="freeny.reg", csv=FALSE)
esttab(filename="freeny.reg", csv=TRUE)

9. Descriptive Statistics in LaTeX
Min. 1st Qu. Median Mean 3rd Qu. Max. Missing Values
y 8.791 9.045 9.314 9.306 9.591 9.794 0
lag.quarterly.revenue 8.791 9.02 9.284 9.281 9.561 9.775 0
price.index 4.278 4.392 4.51 4.496 4.605 4.71 0
income.level 5.821 5.948 6.061 6.039 6.139 6.2 0
market.potential 12.97 13.01 13.07 13.07 13.12 13.17 0
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10. Regression in CSV
Figure 3: CSV format output
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11. Regression in LaTeX
(1) (2) (3)
y y y
(Intercept) 2.186 4.971∗∗∗ -10.473∗
(1.472) (1.24) (6.022)
lag.rev 0.891∗∗∗ 0.373∗∗∗ 0.124
(0.074) (0.114) (0.142)
price -0.256 -0.819∗∗∗ -0.754∗∗∗
(0.175) (0.172) (0.161)
income 0.754∗∗∗ 0.767∗∗∗
(0.145) (0.134)
potential 1.331∗∗
(0.509)
R2 0.996 0.998 0.998
adj.R 2 0.996 0.997 0.998
N 39 39 39
Standard errors in parentheses
∗ ∗∗ ∗∗∗
(p ≤ 0.1), (p ≤ 0.05), (p ≤ 0.01)
Table 1: LaTeX format output
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