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Questions - panel-data

Region-Year Fixed Effects for Individual Unit of analysis R with PLM function

I am running a fixed effects regression in R where the unit of analysis is the individual respondent. I want to implement region and Year fixed effects for the regression. I have used the within estim...
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flâneur

r

r-markdown

regression

panel-data

plm

Votes: 0

Answers: 1

Latest Answer

It is very hard to diagnose your problem because you do not supply a MINIMAL REPRODUCIBLE EXAMPLE This does not exactly answer your question, but if all you need is a fixed effects model, I would stro...
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Vincent

Run Lasso regression by groups and combine results

I would like to apply the lasso regression from glmnet on a panel dataset for each two groping variables and then combine all the coefficient results together in one dataframe where each lasso regress...
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Erwin Rhine

r

dplyr

panel-data

glmnet

Votes: 0

Answers: 1

Latest Answer

The following code works but now my problem is to apply this efficiently to a large dataset: lass <- function(z) { data <- z X <- as.matrix(data[,c(2:3)]) # Store dependent vari...
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Erwin Rhine

R Package panelAR not available to install

I'm trying to install the R package called panelAR in order to perform an autoregressive model AR(1) for a sample of N=17 spanish regions and T=32, but i can't do it. It seems it has been deleted from...
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mrf6345

r

package

cran

panel-data

Votes: 0

Answers: 1

Latest Answer

You can download the package from the archive. Make sure you have installed the car package as well as the panelAR package depends on it. Then, you can install the package from the file you download...
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DaveArmstrong

How to add rows with condition and binary variable in panel dataset on R

I am constructing a panel dataset from an original data which contains for each row, a company (name) and its sales across 10 years. In concrete, it loos like this: The panel dataset I am building ha...
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Anna Sanibel Ferrini

r

if-statement

conditional-statements

binary-data

panel-data

Votes: 0

Answers: 1

Latest Answer

This is an example using tidyverse. Let's say this is your dataframe: df <- structure(list(company_name = c("Company A", "Company B", "Company C", ...
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denisafonin

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