1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plm-package.R
\docType{data}
\name{RiceFarms}
\alias{RiceFarms}
\title{Production of Rice in Indonesia}
\format{
A dataframe containing :
\describe{
\item{id}{the farm identifier}
\item{size}{the total area cultivated with rice, measured in hectares}
\item{status}{land status, on of \code{'owner'} (non sharecroppers,
owner operators or leaseholders or both), \code{'share'}
(sharecroppers), \code{'mixed'} (mixed of the two previous status)}
\item{varieties}{one of \code{'trad'} (traditional varieties),
\code{'high'} (high yielding varieties) and \code{'mixed'} (mixed
varieties)}
\item{bimas}{bIMAS is an intensification program; one of
\code{'no'} (non-bimas farmer), \code{'yes'} (bimas farmer) or
\code{'mixed'} (part but not all of farmer's land was registered to
be in the bimas program)}
\item{seed}{seed in kilogram}
\item{urea}{urea in kilogram}
\item{phosphate}{phosphate in kilogram}
\item{pesticide}{pesticide cost in Rupiah}
\item{pseed}{price of seed in Rupiah per kg}
\item{purea}{price of urea in Rupiah per kg}
\item{pphosph}{price of phosphate in Rupiah per kg}
\item{hiredlabor}{hired labor in hours}
\item{famlabor}{family labor in hours}
\item{totlabor}{total labor (excluding harvest labor)}
\item{wage}{labor wage in Rupiah per hour}
\item{goutput}{gross output of rice in kg}
\item{noutput}{net output, gross output minus harvesting cost (paid
in terms of rice)}
\item{price}{price of rough rice in Rupiah per kg}
\item{region}{one of \code{'wargabinangun'}, \code{'langan'},
\code{'gunungwangi'}, \code{'malausma'}, \code{'sukaambit'},
\code{'ciwangi'}}
}
}
\source{
\insertRef{FENG:HORR:12}{plm}
}
\description{
a panel of 171 observations
}
\details{
\emph{number of observations} : 1026
\emph{observation} : farms
\emph{country} : Indonesia
}
\keyword{datasets}
|