#' Kurze Beschreibung des Datensatzes (hier eigene Beschreibung ergaenzen)
#' Cobb-Douglas production cross-section data for 33 firms
#'
#'
#' Etwas laengere Beschreibung des Datensatzes (hier eigene Besachreibung ergaenzen)
#' The Cobb-Douglas production function is particularly suitable for modeling larger economic systems (from larger firms to entire economies). In this application, it models the combination of the input factors capital and labor to produce output. The Cobb-Douglas function can be easily represented as an econometric model by some transformations. Taken from book: Hill, Griffiths and Lim: Principles of Econometrics (4e)
#'
#'
#' @format A tibble with 33 rows and 3 variables:
#' @format A tibble with 33 rows and 3 variables:
#' \describe{
#' \describe{
#' \item{k}{dbl ?}
#' \item{k}{dbl Capital input}
#' \item{l}{dbl ?}
#' \item{l}{dbl Labor input}
#' \item{q}{dbl ?}
#' \item{q}{dbl Output}
#' }
#' }
#' @source \url{Quellangabe (hier beispielsweise als Link)}
#' Kurze Beschreibung des Datensatzes (hier eigene Beschreibung ergaenzen)
#' Education and income cross-section data of families with working wives
#'
#'
#' Etwas laengere Beschreibung des Datensatzes (hier eigene Besachreibung ergaenzen)
#' Subsample (428 observations) of data from Mroz (1987) including families with working wives. The Mroz data is taken from the 1976 panel study of income dynamics, and is based on data for the previous year, 1975. Of the 753 observations, the first 428 are for women with positive hours worked in 1975, while the remaining 325 observations are for women who did not work for pay in 1975. A more complete discussion of the data is found in Mroz (1984), Appendix 1.
#'
#'
#' @format A tibble with 428 rows and 6 variables:
#' @format A tibble with 428 rows and 6 variables:
#' \describe{
#' \describe{
#' \item{faminc}{dbl ?}
#' \item{faminc}{dbl Family income in 2006 dollars = [husband's hours worked in 1975 * husbands hourly wage + wife's hours worked in 1975 * wife's hourly wage]*3.78 (The multiplier 3.78 is used to convert 1975 dollars to 2006 dollars.)}
#' \item{he}{dbl ?}
#' \item{he}{dbl Husband's educational attainment, in years}
#' \item{we}{dbl ?}
#' \item{we}{dbl Wife's educational attainment, in years}
#' \item{kl6}{dbl ?}
#' \item{kl6}{dbl Number of children less than 6 years old in household}
#' \item{xtra_x5}{dbl ?}
#' \item{xtra_x5}{dbl An artifically generated variable used to illustrate the effect of irrelevant variables.}
#' \item{xtra_x6}{dbl ?}
#' \item{xtra_x6}{dbl A second artifically generated variable used to illustrate the effect of irrelevant variables.}
#' }
#' }
#' @source \url{Quellangabe (hier beispielsweise als Link)}
#' @source{Mroz, T. A. (1987). The Sensitivity of an Empirical Model of Married Women`s Hours of Work to Economic and Statistical Assumptions. Econometrica, 55(4), 765-799.} \url{http://sourceforge.net/projects/gretl/files/datafiles/POE4data.tar.gz/download}
Etwas laengere Beschreibung des Datensatzes (hier eigene Besachreibung ergaenzen)
The Cobb-Douglas production function is particularly suitable for modeling larger economic systems (from larger firms to entire economies). In this application, it models the combination of the input factors capital and labor to produce output. The Cobb-Douglas function can be easily represented as an econometric model by some transformations. Taken from book: Hill, Griffiths and Lim: Principles of Econometrics (4e)
\title{Kurze Beschreibung des Datensatzes (hier eigene Beschreibung ergaenzen)}
\title{Education and income cross-section data of families with working wives}
\format{
\format{
A tibble with 428 rows and 6 variables:
A tibble with 428 rows and 6 variables:
\describe{
\describe{
\item{faminc}{dbl ?}
\item{faminc}{dbl Family income in 2006 dollars = \link{husband's hours worked in 1975 * husbands hourly wage + wife's hours worked in 1975 * wife's hourly wage}*3.78 (The multiplier 3.78 is used to convert 1975 dollars to 2006 dollars.)}
\item{he}{dbl ?}
\item{he}{dbl Husband's educational attainment, in years}
\item{we}{dbl ?}
\item{we}{dbl Wife's educational attainment, in years}
\item{kl6}{dbl ?}
\item{kl6}{dbl Number of children less than 6 years old in household}
\item{xtra_x5}{dbl ?}
\item{xtra_x5}{dbl An artifically generated variable used to illustrate the effect of irrelevant variables.}
\item{xtra_x6}{dbl ?}
\item{xtra_x6}{dbl A second artifically generated variable used to illustrate the effect of irrelevant variables.}
}
}
}
}
\source{
\source{
\url{Quellangabe (hier beispielsweise als Link)}
{Mroz, T. A. (1987). The Sensitivity of an Empirical Model of Married Women`s Hours of Work to Economic and Statistical Assumptions. Econometrica, 55(4), 765-799.} \url{http://sourceforge.net/projects/gretl/files/datafiles/POE4data.tar.gz/download}
}
}
\usage{
\usage{
eduinc
eduinc
}
}
\description{
\description{
Etwas laengere Beschreibung des Datensatzes (hier eigene Besachreibung ergaenzen)
Subsample (428 observations) of data from Mroz (1987) including families with working wives. The Mroz data is taken from the 1976 panel study of income dynamics, and is based on data for the previous year, 1975. Of the 753 observations, the first 428 are for women with positive hours worked in 1975, while the remaining 325 observations are for women who did not work for pay in 1975. A more complete discussion of the data is found in Mroz (1984), Appendix 1.
