# An R package with Baltagi’s ‘Econometric Analysis of Panel Data’ datasets

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## About

‘Econometric Analysis of Panel Data’ (ISBN 978-3-030-53952-8) provides up-to-date coverage of basic panel data techniques, illustrated with real economic applications and datasets. However, importing the original data from the book into R is not straightforward because some of the datasets are available in Microsoft Word format. I provide the datasets in tidy format, expecting that this will allow students to focus on the econometric techniques rather than on data wrangling.

## Installation

You can install the development version of baltagi like so:

remotes::install_github("pachadotdev/baltagi")

## Example

Baltagi, Song and Jung (2001) investigated the productivity of public capital in each US state’s private output, which is discussed in section 9.6.1 of the book (Empirical Example: Nested States Public Capital Productivity).

The original dataset is in Microsoft Word format (DOCX). To read it, you would need to copy it in Notepad, save as CSV , and then import it into R to find that there are data wrangling steps involved to make it usable. Alternatively, you can read the DOCX file directly in R with the `readtext`

package and then proceed to the data wrangling.

`baltagi`

saves all those steps and you can jump directly to the econometric analysis.

library(baltagi) library(plm) fit <- plm( log(gsp) ~ log(priv_cap) + log(hwy) + log(water) + log(util) + log(emp) + unemp, data = produc, index = c("st_abb", "year") ) summary(fit)

Oneway (individual) effect Within Model Call: plm(formula = log(gsp) ~ log(priv_cap) + log(hwy) + log(water) + log(util) + log(emp) + unemp, data = produc, index = c("st_abb", "year")) Balanced Panel: n = 48, T = 17, N = 816 Residuals: Min. 1st Qu. Median 3rd Qu. Max. -0.1207980 -0.0228756 -0.0015757 0.0183999 0.1548035 Coefficients: Estimate Std. Error t-value Pr(>|t|) log(priv_cap) 0.23580111 0.02621777 8.9939 < 2.2e-16 *** log(hwy) 0.07747252 0.03125904 2.4784 0.01341 * log(water) 0.07821567 0.01500290 5.2134 2.391e-07 *** log(util) -0.11438336 0.01815255 -6.3012 4.992e-10 *** log(emp) 0.79958666 0.02974239 26.8837 < 2.2e-16 *** unemp -0.00519584 0.00098018 -5.3009 1.510e-07 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Total Sum of Squares: 18.941 Residual Sum of Squares: 1.0313 R-Squared: 0.94555 Adj. R-Squared: 0.94177 F-statistic: 2205.54 on 6 and 762 DF, p-value: < 2.22e-16

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