library(wooldridge)
library(rmarkdown)
data("crime4")
library(plm)
paged_table(crime4)
pdim(crime4)
## Balanced Panel: n = 90, T = 7, N = 630
model1 <- plm(crmrte ~ prbarr + factor(year), data = crime4 , model = "within" )
summary(model1)
## Oneway (individual) effect Within Model
##
## Call:
## plm(formula = crmrte ~ prbarr + factor(year), data = crime4,
## model = "within")
##
## Balanced Panel: n = 90, T = 7, N = 630
##
## Residuals:
## Min. 1st Qu. Median 3rd Qu. Max.
## -0.04395851 -0.00206428 -0.00011912 0.00192094 0.09339363
##
## Coefficients:
## Estimate Std. Error t-value Pr(>|t|)
## prbarr -1.1164e-03 2.6306e-03 -0.4244 0.671450
## factor(year)82 -8.8019e-05 1.0282e-03 -0.0856 0.931815
## factor(year)83 -2.0101e-03 1.0306e-03 -1.9505 0.051642 .
## factor(year)84 -3.2776e-03 1.0289e-03 -3.1855 0.001529 **
## factor(year)85 -2.9853e-03 1.0278e-03 -2.9046 0.003830 **
## factor(year)86 -4.6785e-04 1.0277e-03 -0.4552 0.649136
## factor(year)87 7.5544e-04 1.0278e-03 0.7350 0.462640
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Total Sum of Squares: 0.026722
## Residual Sum of Squares: 0.025333
## R-Squared: 0.051981
## Adj. R-Squared: -0.11877
## F-statistic: 4.17503 on 7 and 533 DF, p-value: 0.00017221
model2 <- plm(crmrte ~ prbarr + factor(year), data = crime4 )
summary(model2)
## Oneway (individual) effect Within Model
##
## Call:
## plm(formula = crmrte ~ prbarr + factor(year), data = crime4)
##
## Balanced Panel: n = 90, T = 7, N = 630
##
## Residuals:
## Min. 1st Qu. Median 3rd Qu. Max.
## -0.04395851 -0.00206428 -0.00011912 0.00192094 0.09339363
##
## Coefficients:
## Estimate Std. Error t-value Pr(>|t|)
## prbarr -1.1164e-03 2.6306e-03 -0.4244 0.671450
## factor(year)82 -8.8019e-05 1.0282e-03 -0.0856 0.931815
## factor(year)83 -2.0101e-03 1.0306e-03 -1.9505 0.051642 .
## factor(year)84 -3.2776e-03 1.0289e-03 -3.1855 0.001529 **
## factor(year)85 -2.9853e-03 1.0278e-03 -2.9046 0.003830 **
## factor(year)86 -4.6785e-04 1.0277e-03 -0.4552 0.649136
## factor(year)87 7.5544e-04 1.0278e-03 0.7350 0.462640
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Total Sum of Squares: 0.026722
## Residual Sum of Squares: 0.025333
## R-Squared: 0.051981
## Adj. R-Squared: -0.11877
## F-statistic: 4.17503 on 7 and 533 DF, p-value: 0.00017221
model3 <- plm(crmrte ~ prbarr + factor(year)-1 , data = crime4 )
summary(model3)
## Oneway (individual) effect Within Model
##
## Call:
## plm(formula = crmrte ~ prbarr + factor(year) - 1, data = crime4)
##
## Balanced Panel: n = 90, T = 7, N = 630
##
## Residuals:
## Min. 1st Qu. Median 3rd Qu. Max.
## -0.04395851 -0.00206428 -0.00011912 0.00192094 0.09339363
##
## Coefficients: (1 dropped because of singularities)
## Estimate Std. Error t-value Pr(>|t|)
## prbarr -0.00111643 0.00263064 -0.4244 0.6714501
## factor(year)81 -0.00075544 0.00102776 -0.7350 0.4626403
## factor(year)82 -0.00084346 0.00102861 -0.8200 0.4125819
## factor(year)83 -0.00276553 0.00103135 -2.6815 0.0075573 **
## factor(year)84 -0.00403303 0.00102942 -3.9178 0.0001010 ***
## factor(year)85 -0.00374077 0.00102797 -3.6390 0.0003004 ***
## factor(year)86 -0.00122329 0.00102771 -1.1903 0.2344554
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Total Sum of Squares: 0.026722
## Residual Sum of Squares: 0.025333
## R-Squared: 0.051981
## Adj. R-Squared: -0.11877
## F-statistic: 4.17503 on 7 and 533 DF, p-value: 0.00017221
library(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=stargazer
stargazer(list(model1 , model2 ,model3) , type = "text" )
##
## =======================================================
## Dependent variable:
## -----------------------------
## crmrte
## (1) (2) (3)
## -------------------------------------------------------
## prbarr -0.001 -0.001 -0.001
## (0.003) (0.003) (0.003)
##
## factor(year)81 -0.001
## (0.001)
##
## factor(year)82 -0.0001 -0.0001 -0.001
## (0.001) (0.001) (0.001)
##
## factor(year)83 -0.002* -0.002* -0.003***
## (0.001) (0.001) (0.001)
##
## factor(year)84 -0.003*** -0.003*** -0.004***
## (0.001) (0.001) (0.001)
##
## factor(year)85 -0.003*** -0.003*** -0.004***
## (0.001) (0.001) (0.001)
##
## factor(year)86 -0.0005 -0.0005 -0.001
## (0.001) (0.001) (0.001)
##
## factor(year)87 0.001 0.001
## (0.001) (0.001)
##
## -------------------------------------------------------
## Observations 630 630 630
## R2 0.052 0.052 0.052
## Adjusted R2 -0.119 -0.119 -0.119
## F Statistic (df = 7; 533) 4.175*** 4.175*** 4.175***
## =======================================================
## Note: *p<0.1; **p<0.05; ***p<0.01