% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{usjoin}
\alias{usjoin}
\title{US State Per-Capita Personal Income, 1929-2009}
\format{
A tibble with 3,888 rows (48 states x 81 years) and 4 columns:
\describe{
\item{name}{State name.}
\item{state_fips}{State FIPS code, integer.}
\item{year}{Year, integer 1929 to 2009.}
\item{income}{Nominal per-capita personal income, integer USD.}
}
}
\source{
PySAL \code{libpysal} \code{examples/us_income/usjoin.csv}. The original series
is constructed from US Bureau of Economic Analysis state personal income
tables. See \url{https://github.com/pysal/libpysal}.
}
\usage{
usjoin
}
\description{
Per-capita personal income for the 48 contiguous US states in nominal
dollars. Mirrors the canonical \code{usjoin} panel used in PySAL \code{giddy} and the
spatial Markov literature, so examples and validation in this package are
directly comparable to that reference work.
}
\examples{
data(usjoin)
head(usjoin)
range(usjoin$year)
}
\references{
Rey, S. J. (2001). Spatial empirics for economic growth and convergence.
\emph{Geographical Analysis}, 33(3), 195-214.

Rey, S. J., Kang, W., & Wolf, L. (2016). The properties of tests for spatial
effects in discrete Markov chain models of regional income distribution
dynamics. \emph{Journal of Geographical Systems}, 18(4), 377-398.
}
\keyword{datasets}
