R/wage2.R

In wooldridge: 115 Data Sets from "Introductory Econometrics: A Modern Approach, 7e" by Jeffrey M. Wooldridge

#' wage2
#'
#' Wooldridge Source: M. Blackburn and D. Neumark (1992), “Unobserved Ability, Efficiency Wages, and Interindustry Wage Differentials,” Quarterly Journal of Economics 107, 1421-1436. Professor Neumark kindly provided the data, of which I used just the data for 1980. Data loads lazily.
#'
#' @section Notes: As with WAGE1.RAW, there are some clear inconsistencies among the variables tenure, exper, and age. I have not been able to track down the causes, and so any changes would be effectively arbitrary. Instead, I am using the data as provided by the authors of the above QJE article.
#'
#' Used in Text: pages 64, 106, 111, 165, 218-219, 220-221, 262, 310-312, 338, 519-520, 534, 546-547, 549, 678
#'
#' @docType data
#'
#' @usage data('wage2')
#'
#' @format A data.frame with 935 observations on 17 variables:
#' \itemize{
#'  \item \strong{wage:} monthly earnings
#'  \item \strong{hours:} average weekly hours
#'  \item \strong{IQ:} IQ score
#'  \item \strong{KWW:} knowledge of world work score
#'  \item \strong{educ:} years of education
#'  \item \strong{exper:} years of work experience
#'  \item \strong{tenure:} years with current employer
#'  \item \strong{age:} age in years
#'  \item \strong{married:} =1 if married
#'  \item \strong{black:} =1 if black
#'  \item \strong{south:} =1 if live in south
#'  \item \strong{urban:} =1 if live in SMSA
#'  \item \strong{sibs:} number of siblings
#'  \item \strong{brthord:} birth order
#'  \item \strong{meduc:} mother's education
#'  \item \strong{feduc:} father's education
#'  \item \strong{lwage:} natural log of wage
#' }
#' @source \url{https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041}
#' @examples  str(wage2)
"wage2"