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Prepare OECD Data on Labour Force Participation Rates

data_ssvd_lfp.Rd

Process labour force participation data downloaded from the OECD Data Explorer so it is ready to create a scaled SVD.

Usage

data_ssvd_lfp(data, age_max = 75, n_comp = 5, year_min = NULL, eps = 1e-05)

Arguments

data

A data frame containing OECD data.

age_max

The upper limit of the oldest closed age group. Default is 75.

n_comp

Number of SVD components to include in result. Default is 5.

year_min

Only include data for year_min onwards. Ignored if year_min is NULL (the default).

eps

Parameter for truncating probabililities or rates. Default is 0.00001.

Value

A tibble

Usage

Step 1: Download data

library(rsdmx)
url <- paste("https://sdmx.oecd.org/public/rest/data",
             "OECD.ELS.SAE,DSD_LFS@DF_LFS_INDIC,1.1",
             "all?dimensionAtObservation=AllDimensions",
             sep = "/")
lfp_sdmx <- rsdmx::readSDMX(url)    ## can be slow
lfp_df <- as.data.frame(lfp_sdmx)   ## can also be slow

Step 2: Call function data_ssvd_lfp()

lfp_data <- data_ssvd_lfp(data)

coef_lfp Truncation and transformation

See also

  • tidy_lfp() Format OECD labour force participation data into a tidy data frame.

  • coef_lfp() Obtain time series of SVD coefficients for OECD labour force participation data

Examples

data <- data_ssvd_lfp(oecd_lfp_subset)
#> Tidying data...
#> Carrying out SVD for 'total'...
#> Carrying out SVD for 'indep'...
#> Carrying out SVD for 'joint'...
#> Combining results...
data
#> # A tibble: 18 × 5
#>    type  labels_age labels_sexgender matrix          offset    
#>    <chr> <list>     <list>           <list>          <list>    
#>  1 total <chr [10]> <NULL>           <dgCMatrx[,5]>  <dbl [10]>
#>  2 total <chr [11]> <NULL>           <dgCMatrx[,5]>  <dbl [11]>
#>  3 total <chr [12]> <NULL>           <dgCMatrx[,5]>  <dbl [12]>
#>  4 total <chr [11]> <NULL>           <dgCMatrx[,5]>  <dbl [11]>
#>  5 total <chr [12]> <NULL>           <dgCMatrx[,5]>  <dbl [12]>
#>  6 total <chr [13]> <NULL>           <dgCMatrx[,5]>  <dbl [13]>
#>  7 indep <chr [20]> <chr [20]>       <dgTMatrx[,10]> <dbl [20]>
#>  8 indep <chr [22]> <chr [22]>       <dgTMatrx[,10]> <dbl [22]>
#>  9 indep <chr [24]> <chr [24]>       <dgTMatrx[,10]> <dbl [24]>
#> 10 indep <chr [22]> <chr [22]>       <dgTMatrx[,10]> <dbl [22]>
#> 11 indep <chr [24]> <chr [24]>       <dgTMatrx[,10]> <dbl [24]>
#> 12 indep <chr [26]> <chr [26]>       <dgTMatrx[,10]> <dbl [26]>
#> 13 joint <chr [20]> <chr [20]>       <dgCMatrx[,5]>  <dbl [20]>
#> 14 joint <chr [22]> <chr [22]>       <dgCMatrx[,5]>  <dbl [22]>
#> 15 joint <chr [24]> <chr [24]>       <dgCMatrx[,5]>  <dbl [24]>
#> 16 joint <chr [22]> <chr [22]>       <dgCMatrx[,5]>  <dbl [22]>
#> 17 joint <chr [24]> <chr [24]>       <dgCMatrx[,5]>  <dbl [24]>
#> 18 joint <chr [26]> <chr [26]>       <dgCMatrx[,5]>  <dbl [26]>