如何解决plm具有相同规格提供两个不同的输出R
我正在使用作者的原始数据和代码在R中复制已发布的分析。该分析基于“ plm”包中的“ plm”功能。在他们的代码中，作者在模型规范内记录了一个 变量，而在模型运行之前 进行了记录。 运行plm时，我得到两个不同的结果，对我来说，它们看起来像是相同的模型规格。
注意：在这种情况下，我试图在两个模型和结果中排除变量“ log_year”和“ log（as.numeric（Year））”。另外，两个变量“ log_year”和“ log（as.numeric（Year））”相同，因为EVDataEU $ log_year == log（as.numeric（EVDataEU $ Year））都为TRUE。
我的代码：
log_year <- log(as.numeric(EVDataEU$Year))
formI <- log(EVRegShare) ~ MonetaryIncentive + log(ElecDieselRatio) + log_year
regI_mine = plm(formI,data = subset(EVDataEU,EVRegShare > 0),index = c("Country","Year"),model = "within",effect = "individual")
summary(regI_mine)
Oneway (individual) effect Within Model
Call:
plm(formula = formI,effect = "individual","Year"))
Unbalanced Panel: n = 32,T = 4-8,N = 226
Residuals:
Min. 1st Qu. Median 3rd Qu. Max.
-3.143446 -0.386172 0.074956 0.432507 2.446978
Coefficients:
Estimate Std. Error t-value Pr(>|t|)
MonetaryIncentive 0.083273 0.028787 2.8928 0.004262 **
log(ElecDieselRatio) -1.652505 0.552593 -2.9905 0.003153 **
log_year 1227.056867 68.444862 17.9277 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Total Sum of Squares: 481.22
Residual Sum of Squares: 126.55
R-Squared: 0.73701
Adj. R-Squared: 0.6902
F-statistic: 178.424 on 3 and 191 DF,p-value: < 2.22e-16
作者代码：
formI <- log(EVRegShare) ~ MonetaryIncentive + log(ElecDieselRatio) + log(as.numeric(Year))
regI_CFE = plm(formI,effect = "individual")
summary(regI_CFE)
Oneway (individual) effect Within Model
Call:
plm(formula = formI,N = 226
Residuals:
Min. 1st Qu. Median 3rd Qu. Max.
-3.2890902 -0.3000665 0.0057662 0.3906836 2.4634751
Coefficients:
Estimate Std. Error t-value Pr(>|t|)
MonetaryIncentive 0.054095 0.026129 2.0703 0.03977 *
log(ElecDieselRatio) -0.195497 0.450552 -0.4339 0.66485
log(as.numeric(Year)) 2.224452 0.105212 21.1426 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Total Sum of Squares: 481.22
Residual Sum of Squares: 101.64
R-Squared: 0.78879
Adj. R-Squared: 0.75119
F-statistic: 237.769 on 3 and 191 DF,p-value: < 2.22e-16
这么小的变化怎么可能带来如此不同的结果？
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