Elasticities across all potential variable pairs and for different time frames, non-interpolated
Source:R/data.R
ppts_easia_weuro_world_elas_interp1.Rd
Compute elasticities for different numerator and denominator combinations, using non-interpolated data.
Format
A data frame:
- location_code
Short string code for country and regions
- location_level
Country, or regional or sub-country
- variable
Statistical variable
- year_bins_type
The type of year binning
- year_bins
Year bins given year binning
- pchg_interp1
Percentage change from start to end of bin associated with variable (for the denominator), with interpolation and extrapolation
- value_interp1
Level values for variables, with interpolation and extrapolation
- variable_numerator
The variable, whose percentage change is computed, in the numerator
- pchg_interp1_numerator
pchg
but for thevariable_numerator
variable, with interpolation and extrapolation- elasticity_interp1
pchg_interp1_numerator
overpchg_interp1
to compute elasticities over different windows for all possible variablevariable_numerator
andvariable
combinations.
Examples
data(ppts_easia_weuro_world_elas_interp1)
summary(ppts_easia_weuro_world_elas_interp1)
#> location_code location_level variable year_bins_type
#> AUT : 915 country :96940 gdp :29475 1920t2020i05:60015
#> CHN : 780 multicountry :24760 school : 3430 1920t2020i10:31805
#> JPN : 780 multiprovince: 750 student :31845 1920t2020i20:17180
#> CHE : 690 province : 6375 teacher :30290 1925t2015i15:19825
#> KOR : 625 youthpop:33785 1940t2020i01: 0
#> BGD : 530
#> (Other):124505
#> year_bins pchg_interp1 value_interp1 variable_numerator
#> Length:128825 Min. : -0.873 Min. :2.200e+01 Length:128825
#> Class :character 1st Qu.: -0.009 1st Qu.:6.844e+03 Class :character
#> Mode :character Median : 0.105 Median :1.120e+05 Mode :character
#> Mean : 0.305 Mean :2.617e+07
#> 3rd Qu.: 0.278 3rd Qu.:2.234e+06
#> Max. :1663.739 Max. :1.977e+09
#> NA's :20750
#> pchg_interp1_numerator elasticity_interp1
#> Min. : -0.87 Min. :-Inf
#> 1st Qu.: -0.01 1st Qu.:0.07
#> Median : 0.11 Median :1.00
#> Mean : 0.31 Mean : NaN
#> 3rd Qu.: 0.28 3rd Qu.:1.00
#> Max. :1663.74 Max. : Inf
#> NA's :47082 NA's :50369
print(ppts_easia_weuro_world_elas_interp1)
#> # A tibble: 128,825 × 10
#> location_code location_level variable year_bins_type year_bins pchg_interp1
#> <fct> <fct> <fct> <fct> <chr> <dbl>
#> 1 ABW country gdp 1920t2020i05 1981-1985 1.25
#> 2 ABW country gdp 1920t2020i05 1981-1985 1.25
#> 3 ABW country gdp 1920t2020i05 1981-1985 1.25
#> 4 ABW country gdp 1920t2020i05 1981-1985 1.25
#> 5 ABW country gdp 1920t2020i05 1981-1985 1.25
#> 6 ABW country gdp 1920t2020i05 1986-1990 0.903
#> 7 ABW country gdp 1920t2020i05 1986-1990 0.903
#> 8 ABW country gdp 1920t2020i05 1986-1990 0.903
#> 9 ABW country gdp 1920t2020i05 1986-1990 0.903
#> 10 ABW country gdp 1920t2020i05 1986-1990 0.903
#> # ℹ 128,815 more rows
#> # ℹ 4 more variables: value_interp1 <dbl>, variable_numerator <chr>,
#> # pchg_interp1_numerator <dbl>, elasticity_interp1 <dbl>