This is a consolidated output of the various models
library(sjPlot)
library(sjmisc)
## Learn more about sjmisc with 'browseVignettes("sjmisc")'.
library(sjlabelled)
library(plm)
file_df <- read.csv("tripathi.csv")
View(file_df)
ols <- lm(CASBTA ~ roe + Year + LNMCAP + DGP + DMANU, data=file_df)
fixed.dum <-lm(CASBTA ~ factor(DGP) - 1, data = file_df)
random <- plm(CASBTA ~ roe, data=file_df, model="random")
tsls1<-lm(CASBTA~ roe + LNMCAP, data = file_df)
tab_model(ols, fixed.dum, random, tsls1)
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CASBTA
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CASBTA
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CASBTA
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CASBTA
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Predictors
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Estimates
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CI
|
p
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Estimates
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CI
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p
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Estimates
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CI
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p
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Estimates
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CI
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p
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(Intercept)
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-10.79
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-16.07 – -5.52
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<0.001
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0.20
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0.19 – 0.21
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<0.001
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-0.04
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-0.06 – -0.02
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<0.001
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roe
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-0.01
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-0.05 – 0.02
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0.368
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0.01
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-0.00 – 0.03
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0.102
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-0.04
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-0.07 – -0.01
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0.014
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Year
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0.01
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0.00 – 0.01
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<0.001
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LNMCAP
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0.03
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0.03 – 0.03
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<0.001
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0.03
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0.03 – 0.03
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<0.001
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DGP
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0.02
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0.01 – 0.03
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<0.001
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DMANU
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-0.10
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-0.11 – -0.09
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<0.001
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DGP [0]
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0.18
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0.18 – 0.19
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<0.001
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DGP [1]
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|
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0.22
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0.21 – 0.23
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<0.001
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Observations
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6709
|
6709
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6709
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6709
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R2 / R2 adjusted
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0.140 / 0.139
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0.511 / 0.511
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0.001 / 0.001
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0.083 / 0.083
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