R Dataset / Package plm / Snmesp

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-plm-snmesp.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-26613.csv 360.09 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Snmesp data set which pertains to Employment and Wages in Spain. The Snmesp data set is found in the plm R package. You can load the Snmesp data set in R by issuing the following command at the console data("Snmesp"). This will load the data into a variable called Snmesp. If R says the Snmesp data set is not found, you can try installing the package by issuing this command install.packages("plm") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Snmesp R data set. The size of this file is about 368,736 bytes.

Documentation

Employment and Wages in Spain

Description

A panel of 738 observations from 1983 to 1990

total number of observations: 5904

observation: firms

country: Spain

Usage

data(Snmesp)

Format

A data frame containing:

firm

firm index

year

year

n

log of employment

w

log of wages

y

log of real output

i

log of intermediate inputs

k

log of real capital stock

f

real cash flow

Source

Journal of Business Economics and Statistics data archive:

http://amstat.tandfonline.com/loi/ubes20/.

References

Alonso–Borrego, C. and Arellano, M. (1999). Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data, Journal of Business and Economic Statistics, 17(1), pp. 36–49.

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Dataset imported from https://www.r-project.org.

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