R/data.R

In BMS: Bayesian Model Averaging Library

#' FLS (2001) growth data
#'
#' The economic growth data set from Fernandez, Ley and Steel, Journal of Applied Econometrics 2001
#'
#' @format A data frame with 53940 rows and 10 variables:
#' A data frame with 72 observations on the following 42 variables.
#'  \describe{
#'    \item{\code{y}}{numeric: Economic growth 1960-1992 as from the Penn World Tables Rev 6.0}
#'    \item{\code{Abslat}}{numeric: Absolute latitude}
#'    \item{\code{Spanish}}{numeric: Spanish colony dummy}
#'    \item{\code{French}}{numeric: French colony dummy}
#'    \item{\code{Brit}}{numeric: British colony dummy}
#'    \item{\code{WarDummy}}{numeric: War dummy}
#'    \item{\code{LatAmerica}}{numeric: Latin America dummy}
#'    \item{\code{SubSahara}}{numeric; Sub-Sahara dummy}
#'    \item{\code{OutwarOr}}{numeric: Outward Orientation}
#'    \item{\code{Area}}{numeric: Area surface}
#'    \item{\code{PrScEnroll}}{numeric: Primary school enrolment}
#'    \item{\code{LifeExp}}{numeric: Life expectancy}
#'    \item{\code{GDP60}}{numeric: Initial GDP in 1960}
#'    \item{\code{Mining}}{numeric: Fraction of GDP in mining}
#'    \item{\code{EcoOrg}}{numeric: Degree of capitalism}
#'    \item{\code{YrsOpen}}{numeric: Number of years having an open economy}
#'    \item{\code{Age}}{numeric: Age}
#'    \item{\code{Buddha}}{numeric: Fraction Buddhist}
#'    \item{\code{Catholic}}{numeric: Fraction Catholic}
#'    \item{\code{Confucian}}{numeric: Fraction Confucian}
#'    \item{\code{EthnoL}}{numeric: Ethnolinguistic fractionalization}
#'    \item{\code{Hindu}}{numeric: Fraction Hindu}
#'    \item{\code{Jewish}}{numeric: Fraction Jewish}
#'    \item{\code{Muslim}}{numeric: Fraction Muslim}
#'    \item{\code{PrExports}}{numeric: Primary exports 1970}
#'    \item{\code{Protestants}}{numeric: Fraction Protestants}
#'    \item{\code{RuleofLaw}}{numeric: Rule of law}
#'    \item{\code{Popg}}{numeric: Population growth}
#'    \item{\code{WorkPop}}{numeric: workers per inhabitant}
#'    \item{\code{LabForce}}{numeric: Size of labor force}
#'    \item{\code{HighEnroll}}{numeric: Higher education enrolment}
#'    \item{\code{PublEdupct}}{numeric: Public education share}
#'    \item{\code{RevnCoup}}{numeric: Revolutions and coups}
#'    \item{\code{PolRights}}{numeric: Political rights}
#'    \item{\code{CivlLib}}{numeric: Civil liberties}
#'    \item{\code{English}}{numeric: Fraction speaking English}
#'    \item{\code{Foreign}}{numeric: Fraction speaking foreign language}
#'    \item{\code{RFEXDist}}{numeric: Exchange rate distortions}
#'    \item{\code{EquipInv}}{numeric: Equipment investment}
#'    \item{\code{NequipInv}}{numeric: Non-equipment investment}
#'    \item{\code{stdBMP}}{numeric: stand. dev. of black market premium}
#'    \item{\code{BlMktPm}}{numeric: black market premium}
#' }
#' @source 
#'   Fernandez, C., Ley, E., and Steel, M. F. (2001b). Model Uncertainty in Cross-Country Growth Regressions. Journal of Applied Econometrics, 16:563-576.
#'  Data set from \url{https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/steel/steel_homepage/software}.
#'
#'  A working paper version of Fernandez, Ley and Steel (2001) is available via \url{https://econpapers.repec.org/article/jaejapmet/v_3a16_3ay_3a2001_3ai_3a5_3ap_3a563-576.htm}.
"datafls"