library(wooldridge)
library(rmarkdown)
data('fair')
paged_table(fair)An updated version of this data set, through the 2004 election, is available at Professor Fair’s web site at Yale University: http://fairmodel.econ.yale.edu/rayfair/pdf/2001b.htm. Students might want to try their own hands at predicting the most recent election outcome, but they should be restricted to no more than a handful of explanatory variables because of the small sample size.
A data.frame with 21 observations on 28 variables:
year: 1916 to 1992, by 4
V: prop. dem. vote
I: =1 if demwh, -1 if repwh
DPER: incumbent running
DUR: duration
g3: avg ann grwth rte, prev 3 qrts
p15: avg ann inf rate, prev 15 qtrs
n: quarters of good news
g2: avg ann grwth rte, prev 2 qrts
gYR: ann grwth rte, prev year
p8: avg ann inf rate, prev 8 qtrs
p2YR: inf rte over 2 yr period
Ig2: I*g2
Ip8: I*p8
demwins: =1 if V > .5
In: I*n
d: =1 in 1920, 1944,1948
Id: I*d
Ig3: I*g3
Ip151md: Ip15(1-d)
In1md: In(1-d)
summary is a generic function used to produce result summaries of the results of various model fitting functions. The function invokes particular methods which depend on the class of the first argument.
summary(lm(formula = year ~ V + I + DPER + DUR + g3 + p15 + n + g2 ,data = fair ))##
## Call:
## lm(formula = year ~ V + I + DPER + DUR + g3 + p15 + n + g2, data = fair)
##
## Residuals:
## Min 1Q Median 3Q Max
## -52.048 -9.538 1.930 11.281 32.791
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1966.0598 61.6036 31.915 5.65e-13 ***
## V 11.8044 118.3189 0.100 0.922
## I 2.8140 19.1643 0.147 0.886
## DPER -6.5541 16.9384 -0.387 0.706
## DUR -3.6664 15.3962 -0.238 0.816
## g3 3.2836 3.0825 1.065 0.308
## p15 -0.2763 2.2225 -0.124 0.903
## n -2.6613 2.4014 -1.108 0.289
## g2 -1.2098 2.5592 -0.473 0.645
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 27.23 on 12 degrees of freedom
## Multiple R-squared: 0.2777, Adjusted R-squared: -0.2038
## F-statistic: 0.5768 on 8 and 12 DF, p-value: 0.7788library(stargazer)##
## Please cite as:## Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables.## R package version 5.2.3. https://CRAN.R-project.org/package=stargazermodel1 <- lm(year ~ V + I + DPER + DUR + g3 + p15 + n + g2 ,data = fair)model1_2 <- lm(log(year) ~ V + I + DPER + DUR + g3 + p15 + n + g2 ,data = fair )stargazer(model1,model1_2, type = "text")##
## ==========================================================
## Dependent variable:
## ----------------------------
## year log(year)
## (1) (2)
## ----------------------------------------------------------
## V 11.804 0.006
## (118.319) (0.061)
##
## I 2.814 0.001
## (19.164) (0.010)
##
## DPER -6.554 -0.003
## (16.938) (0.009)
##
## DUR -3.666 -0.002
## (15.396) (0.008)
##
## g3 3.284 0.002
## (3.083) (0.002)
##
## p15 -0.276 -0.0001
## (2.223) (0.001)
##
## n -2.661 -0.001
## (2.401) (0.001)
##
## g2 -1.210 -0.001
## (2.559) (0.001)
##
## Constant 1,966.060*** 7.584***
## (61.604) (0.032)
##
## ----------------------------------------------------------
## Observations 21 21
## R2 0.278 0.276
## Adjusted R2 -0.204 -0.206
## Residual Std. Error (df = 12) 27.231 0.014
## F Statistic (df = 8; 12) 0.577 0.573
## ==========================================================
## Note: *p<0.1; **p<0.05; ***p<0.01lm(scale(year) ~ scale(I) + scale(DPER) +scale(DUR) + scale(g3) + scale(p15) + scale(n) + scale(g2) ,data = fair)##
## Call:
## lm(formula = scale(year) ~ scale(I) + scale(DPER) + scale(DUR) +
## scale(g3) + scale(p15) + scale(n) + scale(g2), data = fair)
##
## Coefficients:
## (Intercept) scale(I) scale(DPER) scale(DUR) scale(g3) scale(p15)
## 1.026e-16 1.455e-01 -2.181e-01 -1.641e-01 7.739e-01 -4.634e-02
## scale(n) scale(g2)
## -3.263e-01 -3.528e-01lm(log(year) ~ V + I + DPER + DUR + g3 + p15 + n + g2 ,data = fair )##
## Call:
## lm(formula = log(year) ~ V + I + DPER + DUR + g3 + p15 + n +
## g2, data = fair)
##
## Coefficients:
## (Intercept) V I DPER DUR g3
## 7.5835042 0.0064138 0.0013634 -0.0033267 -0.0018023 0.0016751
## p15 n g2
## -0.0001427 -0.0013542 -0.0006157