Quarterly National Accounts data for temporal disaggregation

This dataset contains two data frames used for temporal disaggregation and benchmarking exercises. The first data frame, 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, TURN_Q_data, contains the corresponding quarterly indicator series derived from VAT-based production indicators, covering the period 2009Q1–2021Q4.

Usage

qna_data

Format

A named list with two elements:

B1G_Y_data

A data frame with columns:

DATE: Annual periods.
B1G_CE: Value added for chemical industry.
B1G_FF: Value added for construction.
B1G_HH: Value added for transport services.

TURN_Q_data

A data frame with columns:

DATE: Quarterly periods.
TURN_INDEX_CE: Quarterly indicator for chemical industry.
TURN_INDEX_FF: Quarterly indicator for construction.
TURN_INDEX_HH: Quarterly indicator for transport services.

Source

Belgian Quarterly National Accounts

Examples

data(qna_data)
names(qna_data)
#> [1] "B1G_Y_data"  "TURN_Q_data"
head(qna_data$B1G_Y_data)
#>         DATE B1G_CE  B1G_FF  B1G_HH
#> 1 2009-01-01 6784.5 17554.4 19069.3
#> 2 2010-01-01 7499.9 17720.1 19380.9
#> 3 2011-01-01 7811.4 18856.0 19805.7
#> 4 2012-01-01 7565.7 18849.7 19808.8
#> 5 2013-01-01 7625.0 18713.5 19557.1
#> 6 2014-01-01 8179.9 19008.0 20237.9
head(qna_data$TURN_Q_data)
#>         DATE TURN_INDEX_CE TURN_INDEX_FF TURN_INDEX_HH
#> 1 2009-03-01          71.1          80.5          90.6
#> 2 2009-06-01          74.7          98.4          93.6
#> 3 2009-09-01          81.2          87.6          90.4
#> 4 2009-12-01          81.3         106.0          99.5
#> 5 2010-03-01          86.8          79.9          91.7
#> 6 2010-06-01          95.9         101.5         100.3