R Dataset / Package Ecdat / RetSchool

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Compute the Mean

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Plot

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Attachment	Size
dataset-16399.csv	219.37 KB

Dataset License

GNU General Public License v2.0

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GNU General Public License v2.0

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R Dataset Help
On this Picostat.com statistics page, you will find information about the RetSchool data set which pertains to Return to Schooling . The RetSchool data set is found in the Ecdat R package. You can load the RetSchool data set in R by issuing the following command at the console data("RetSchool"). This will load the data into a variable called RetSchool. If R says the RetSchool 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 RetSchool R data set. The size of this file is about 224,635 bytes.

R Dataset Help

On this Picostat.com statistics page, you will find information about the RetSchool data set which pertains to Return to Schooling . The RetSchool data set is found in the Ecdat R package. You can load the RetSchool data set in R by issuing the following command at the console data("RetSchool"). This will load the data into a variable called RetSchool. If R says the RetSchool 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 RetSchool R data set. The size of this file is about 224,635 bytes.

Documentation

Documentation
Return to Schooling Description a panel of 48 observations from 1970 to 1986 number of observations : 5225 observation : individuals country : United States Usage data(RetSchool) Format A time serie containing : wage76 wage in 1876 grade76 grade level in 1976 exp76 experience 1n 1976 black black ? south76 lived in south in 1976 ? smsa76 lived in smsa in 1976 ? region region, a factor with levels (un,midatl,enc,wnc,sa,esc,wsc,m,p) smsa66 lived in smsa in 1966 ? momdad14 lived with both parents at age 14 ? sinmom14 lived with mother only at age 14 ? nodaded father has no formal education ? nomomed mother has no formal education ? daded mean grade level of father momed mean grade level of mother famed father's and mother's education, a factor with 9 levels age76 age in 1976 col4 is any 4-year college nearby ? Source Kling, Jeffrey R. (2001) “Interpreting Instrumental Variables Estimates of the Return to Schooling”, Journal of Business and Economic Statistics, 19(3), july, 358–364. Dehejia, R.H. and S. Wahba (2002) “Propensity-score Matching Methods for Nonexperimental Causal Studies”, Restat, 151–161. References Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge. See Also `Index.Source`, `Index.Economics`, `Index.Econometrics`, `Index.Observations`, `Index.Time.Series` -- Dataset imported from https://www.r-project.org.

Return to Schooling

Description

a panel of 48 observations from 1970 to 1986

number of observations : 5225

observation : individuals

country : United States

Usage

data(RetSchool)

Format

A time serie containing :

wage76: wage in 1876
grade76: grade level in 1976
exp76: experience 1n 1976
black: black ?
south76: lived in south in 1976 ?
smsa76: lived in smsa in 1976 ?
region: region, a factor with levels (un,midatl,enc,wnc,sa,esc,wsc,m,p)
smsa66: lived in smsa in 1966 ?
momdad14: lived with both parents at age 14 ?
sinmom14: lived with mother only at age 14 ?
nodaded: father has no formal education ?
nomomed: mother has no formal education ?
daded: mean grade level of father
momed: mean grade level of mother
famed: father's and mother's education, a factor with 9 levels
age76: age in 1976
col4: is any 4-year college nearby ?

Source

Kling, Jeffrey R. (2001) “Interpreting Instrumental Variables Estimates of the Return to Schooling”, Journal of Business and Economic Statistics, 19(3), july, 358–364.

Dehejia, R.H. and S. Wahba (2002) “Propensity-score Matching Methods for Nonexperimental Causal Studies”, Restat, 151–161.

References

Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge.

Curated Data	File Size
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All Public Datasets	File Size
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PICOSTATBETA

R Dataset / Package Ecdat / RetSchool

How To Create a Barplot

How To Create a Stacked Barplot

How To Create a Pie Chart

How To Compute the Mean

How To Create a Plot

How to Compute the Median

Boxplot

Correlation Coefficient

Cumulative Frequency Histogram

Dotplot

Hollow Histogram

Numerical Summaries

Pie Chart

Plot

Regression

Stem and Leaf Plots

Visual Summaries

Return to Schooling

Description

Usage

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Source

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