Nothing
#' engin
#'
#' Wooldridge Source: Thada Chaisawangwong, a former graduate student at MSU, obtained these data for a term project in applied econometrics. They come from the Material Requirement Planning Survey carried out in Thailand during 1998. Data loads lazily.
#'
#' @section Notes: This is a nice change of pace from wage data sets for the United States. These data are for engineers in Thailand, and represents a more homogeneous group than data sets that consist of people across a variety of occupations. Plus, the starting salary is also provided in the data set, so factors affecting wage growth – and not just wage levels at a given point in time – can be studied. This is a good data set for a common term project that tests basic understanding of multiple regression and the interpretation of models with a logarithm for a dependent variable.
#'
#' Used in Text: not used
#'
#' @docType data
#'
#' @usage data('engin')
#'
#' @format A data.frame with 403 observations on 17 variables:
#' \itemize{
#' \item \strong{male:} =1 if male
#' \item \strong{educ:} highest grade completed
#' \item \strong{wage:} monthly salary, Thai baht
#' \item \strong{swage:} starting wage
#' \item \strong{exper:} years on current job
#' \item \strong{pexper:} previous experience
#' \item \strong{lwage:} log(wage)
#' \item \strong{expersq:} exper^2
#' \item \strong{highgrad:} =1 if high school graduate
#' \item \strong{college:} =1 if college graduate
#' \item \strong{grad:} =1 if some graduate school
#' \item \strong{polytech:} =1 if a polytech
#' \item \strong{highdrop:} =1 if no high school degree
#' \item \strong{lswage:} log(swage)
#' \item \strong{pexpersq:} pexper^2
#' \item \strong{mleeduc:} male*educ
#' \item \strong{mleeduc0:} male*(educ - 14)
#' }
#' @source \url{https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041}
#' @examples str(engin)
"engin"
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