R Dataset / Package Ecdat / Participation

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

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-ecdat-participation.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-15066.csv 26.31 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 Participation data set which pertains to Labor Force Participation . The Participation data set is found in the Ecdat R package. You can load the Participation data set in R by issuing the following command at the console data("Participation"). This will load the data into a variable called Participation. If R says the Participation data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") 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 Participation R data set. The size of this file is about 26,941 bytes.

Documentation

Labor Force Participation

Description

a cross-section

number of observations : 872

observation : individuals

country : Switzerland

Usage

data(Participation)

Format

A dataframe containing :

lfp

labour force participation ?

lnnlinc

the log of nonlabour income

age

age in years divided by 10

educ

years of formal education

nyc

the number of young children (younger than 7)

noc

number of older children

foreign

foreigner ?

Source

Gerfin, Michael (1996) “Parametric and semiparametric estimation of the binary response”, Journal of Applied Econometrics, 11(3), 321-340.

References

Davidson, R. and James G. MacKinnon (2004) Econometric Theory and Methods, New York, Oxford University Press, http://www.econ.queensu.ca/ETM/, chapter 11.

Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations

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

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