CEOcomp: Compensation of CEOs and firm characteristics
In helix123/altOp: Easily Generate a Set of Formulas with Alternative Operationalizations of Variables
Description
A dataset containing the compensation of CEOs of 30 firms along with
some firm characteristics. The data are fictional but realistic.
The variables are as follows:
Usage
1
Format
A data frame with 30 rows and 14 variables:
compvar: variable compensation [kEUR]
comptotal: total compensation [kEUR]
roa: return on assets [percent]
roe: return on equity [percent]
tsr: total shareholder return [percent]
emp: employees [number of employees]
assets: total assets [kEUR]
beta: company's beta (risk measure)
marketcap: market capitalization [mEUR]
age: CEO's age [years]
tenure: tenure for CEO position [years]
listed: dummy (factor) indicating wheter company is listed [0 and 1]
helix123/altOp documentation built on May 17, 2019, 3:36 p.m.
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Description
A dataset containing the compensation of CEOs of 30 firms along with some firm characteristics. The data are fictional but realistic. The variables are as follows:
Usage
1 |
Format
A data frame with 30 rows and 14 variables:
compvar: variable compensation [kEUR]
comptotal: total compensation [kEUR]
roa: return on assets [percent]
roe: return on equity [percent]
tsr: total shareholder return [percent]
emp: employees [number of employees]
assets: total assets [kEUR]
beta: company's beta (risk measure)
marketcap: market capitalization [mEUR]
age: CEO's age [years]
tenure: tenure for CEO position [years]
listed: dummy (factor) indicating wheter company is listed [0 and 1]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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