Wages: U.S. cross-section wage data

In fgamma: Full Gamma Regression

Description

Cross-section wage data consisting of a random sample with 526 observations taken from the U.S. Current Population Survey for the year 1976.

Usage

data("Wages")

Format

A data frame containing 526 observations on 8 variables.

wage

Average hourly earnings.

educ

Years of education.

exper

Years potential experience.

tenure

Years with current employer.

marriage

Factor indicating married and nonmarried.

numdep

Number of dependents.

ethnicity

Factor indicating nonwhite and white.

sex

Factor indicating female and male.

Source

Jeffrey M. Wooldridge

References

Wooldridge, J.M. (2010). Introductory Econometrics: A Modern Approach. 4th edition. South-Western College Pub.

Examples

  data("Wages", package = "fgamma")
  
  ## Gamma model with only intercept for sigma parameter
  f1 <- fgamma(wage ~ ., data = Wages)
  summary(f1)
  
  ## Gamma model with all explanatory variables for sigma parameter
    f2 <- fgamma(wage ~ . | ., data = Wages)
  summary(f2)
  
  ## Gamma model with selected explanatory variables for sigma parameter
  f3 <- fgamma(wage ~ . | educ + exper + tenure, data = Wages)
  summary(f3)

fgamma documentation built on May 2, 2019, 6:13 p.m.