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rplm

Error in class(x) while creating panel data using plm function

I'm trying to create a Panel data using the plm function for pooling a model from a balanced Panel data that I imported from Excel.

When I run the code I get the following error:

Error in class(x) <- setdiff(class(x), "pseries") : invalid to set the class to matrix unless the dimension attribute is of length 2 (was 0)

library(plm)
library(readxl)
library(tidyr)
library(rJava)
library(xlsx)
library(xlsxjars)

all_met<- read_excel("data.xlsx", sheet = "all_met")
attach(all_met)

Y_all_met <- cbind(methane)
X_all_met <- cbind(gdp, ecogr, trade)

pdata_all_met <- plm.data(all_met, index=c("id","time"))

pooling_all_met <- plm(Y_all_met ~ X_all_met, data=pdata_all_met, model= "pooling")

After running the code I was supposed to get summary statistics of a pooled ols regression of my data. Can someone tell me how I can fix this issue? Thanks in advance.

Solution

  • 1st:

    Avoid plm.data and use pdata.frame instead:

    pdata_all_met <- pdata.frame(all_met, index=c("id","time"))

    If plm.data does not give you a deprecation warning, use a newer version of the package.

    2nd (and addressing the question):

    Specify the column names in the formula, not the variables from the global environment if you use the data argument of plm, i.e., try this:

    plm(methane ~ gdp + ecogr + trade, data=pdata_all_met, model= "pooling")