R/wage.R

In StatsWithR/statsr: Companion Software for the Coursera Statistics with R Specialization

#' Wage data
#' 
#' The data were gathered as part of a random sample of 935 respondents throughout the United States.  
#' 
#' @format A tbl_df with with 935 rows and 17 variables:
#' \describe{
#'   \item{wage}{weekly earnings (dollars)}
#'   \item{hours}{average hours worked per week}
#'   \item{iq}{IQ score}
#'   \item{kww}{Knowledge of world work score}
#'   \item{educ}{years of education}
#'   \item{exper}{years of work experience}
#'   \item{tenure}{years with current employer}
#'   \item{age}{age in years}
#'   \item{married}{=1 if married}
#'   \item{black}{=1 if black}
#'   \item{south}{=1 if live in south}
#'   \item{urban}{=1 if live in a Standard Metropolitan Statistical Area }
#'   \item{sibs}{number of siblings}
#'   \item{brthord}{birth order}
#'   \item{meduc}{mother's education (years)}
#'   \item{feduc}{father's education (years)}
#'   \item{lwage}{natural log of wage}
#' }
#' @source Jeffrey M. Wooldridge (2000). Introductory Econometrics: A Modern Approach. South-Western College Publishing.
"wage"