1. bpvars::country_grouping_incomegroup
    A vector with country grouping by income group for 189 countries
    json| rda| rds
    integer
  2. bpvars::country_grouping_region
    A vector with country grouping by region for 189 countries
    json| rda| rds
    integer
  3. bpvars::country_grouping_subregionbroad
    A vector with country grouping by subregion for 189 countries
    json| rda| rds
    integer
  4. bpvars::country_grouping_subregiondetailed
    A vector with country grouping by detailed subregion for 189 countries
    json| rda| rds
    integer
  5. bpvars::ilo_conditional_forecasts
    Data containing future observations for 189 countries from 2025 to 2027 to be used for conditional forecasts given the future values of gdp.
    csv| json| rda| rds
    list
  6. bpvars::ilo_dynamic_panel
    A 4-variable annual system for forecasting labour market outcomes for 189 countries from 1991 to 2024
    csv| json| rda| rds
    list
  7. bpvars::ilo_dynamic_panel_missing
    A 4-variable annual system for forecasting labour market outcomes for 189 countries to 2024 containing only actual observations
    json| rda| rds
    list
  8. bpvars::ilo_exogenous_forecasts
    Data containing future observations for 189 countries from 2025 to 2027 to be used to forecast with models with 'ilo_exogenous_variables'
    csv| json| rda| rds
    list
  9. bpvars::ilo_exogenous_variables
    A 3-variable annual system for of dummy observations for 2008, 2020, and 2021 to be used in the estimation of the Panel VAR model for 189 countries from 1991 to 2024
    csv| json| rda| rds
    list
  10. bpvars::ilo_exogenous_variables_missing
    A 3-variable annual system for of dummy observations for 2008, 2020, and 2021 to be used in the estimation of the Panel VAR model for 189 countries to 2024 containing observations for matching periods from 'ilo_dynamic_panel_missing'
    json| rda| rds
    list
  11. bsvars::us_fiscal_cond_forecasts
    A matrix to be used in a conditional forecasting example including the projected values of total tax revenue that are projected to increase at an average quarterly sample growth rate. The other two columns are filled with 'NA' values, which implies that the future values of the corresponding endogenous variables, namely government spending and GDP, will be forecasted given the provided projected values of total tax revenue. The matrix includes future values for the forecast horizon of two years for the US fiscal model for the period 2024 Q3 - 2026 Q2.
    csv| json| rda| rds
    mts|8 x 3
  12. bsvars::us_fiscal_ex
    A 3-variable system of exogenous variables for the US fiscal model for the period 1948 Q1 - 2024 Q2
    csv| json| rda| rds
    mts|306 x 3
  13. bsvars::us_fiscal_ex_forecasts
    A 3-variable system of exogenous variables' future values for the forecast horizon of two years for the US fiscal model for the period 2024 Q3 - 2026 Q2
    csv| json| rda| rds
    mts|8 x 3
  14. bsvars::us_fiscal_lsuw
    A 3-variable US fiscal system for the period 1948 Q1 - 2024 Q2
    csv| json| rda| rds
    mts|306 x 3
  15. bsvarSIGNs::monetary
    A 6-variable US monetary policy data, from 1965 Jan to 2007 Aug
    csv| json| rda| rds
    mts|515 x 6
  16. bsvarSIGNs::optimism
    A 5-variable US business cycle data, from 1955 Q1 to 2004 Q4
    csv| json| rda| rds
    mts|224 x 5