% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utils.R
\docType{data}
\name{qna_data}
\alias{qna_data}
\title{Quarterly National Accounts data for temporal disaggregation}
\format{
A named list with two elements:
\describe{
\item{\code{B1G_Y_data}}{A data frame with columns:
\describe{
\item{\code{DATE}}{Annual periods.}
\item{\code{B1G_CE}}{Value added for chemical industry.}
\item{\code{B1G_FF}}{Value added for construction.}
\item{\code{B1G_HH}}{Value added for transport services.}
}
}
\item{\code{TURN_Q_data}}{A data frame with columns:
\describe{
\item{\code{DATE}}{Quarterly periods.}
\item{\code{TURN_INDEX_CE}}{Quarterly indicator for chemical industry.}
\item{\code{TURN_INDEX_FF}}{Quarterly indicator for construction.}
\item{\code{TURN_INDEX_HH}}{Quarterly indicator for transport services.}
}
}
}
}
\source{
Belgian Quarterly National Accounts
}
\usage{
qna_data
}
\description{
This dataset contains two data frames used for temporal disaggregation and
benchmarking exercises. The first data frame, \code{B1G_Y_data}, includes three
annual benchmark series corresponding to Belgian annual value added for the
period 2009–2020 in three industries: chemical industry (CE), construction
(FF), and transport services (HH). The second data frame, \code{TURN_Q_data},
contains the corresponding quarterly indicator series derived from VAT-based
production indicators, covering the period 2009Q1–2021Q4.
}
\examples{
data(qna_data)
names(qna_data)
head(qna_data$B1G_Y_data)
head(qna_data$TURN_Q_data)
}
\keyword{datasets}
