EIGE

GDP per capita at constant (2014) prices genmain_eqpol_ebge_macro__gdp_pc

Time format:
Years
Unit:
Percentage difference from baseline (comparable)
Description:

The data shows GDP per capita forecasts from the EIGE (2017) study on the "Economic Benefits of Gender Equality in the European Union".

Gross Domestic Product (GDP) per capita at constant 2014 prices refers to the level of gross domestic product expressed in terms of the price level of the base year 2014.

The figures for each year are the percentage differences between the GDP per capita forecasted under each scenario and the GDP per capita forecasted under the baseline scenario.

The baseline scenario assumes that no additional improvements in gender equality will be achieved beyond what could be expected based on recent historical trends.

The data is presented according to five pathways. The term ‘pathway’ refers to a certain gender inequality, for which at least a theoretical link to macroeconomic performance has been established in the literature. For each pathway there is a 'slow progress scenario' and 'rapid progress scenario'.

  • Pathway 1: Narrowing the education gap - the gender gap in tertiary education. The slow progress scenario assumes a closure of gender gaps in computing by 2-14pp and a closure of the gender gap in engineering by 4-12 pp. Under the rapid progress scenario, progress is 5-14 pp and 9-12 pp respectively.

  • Pathway 2: Narrowing the activity gap. The slow progress scenario assumes a 0-13 pp reduction in the activity rate gap by 2030. Under the rapid progress scenario there is a 0-20pp reduction in the activity rate gap by 2030.

  • Pathway 3: Narrowing the pay gap. Under the slow progress scenario, there is a 0-5 pp reduction in the gender pay gap by 2030. Under the rapid progress scenario the reduction is 0-14pp.

  • Outcome [Pathway] 4: Fertility rates' . In the slow progress scenario there is a 0-5% increase in fertility rate by 2030 and 0-8% increase under the rapid progress scenario.

  • Pathway 5 combines all the above measures.

For further methodological details, users are advised to consult the following resources available on EIGE's website:

2050
2049
2048
2047
2046
2045
2044
2043
2042
2041
2040
2039
2038
2037
2036
2035
2034
2033
2032
2031
2030
cteg
cteg
ctag
ctag
ctwg
ctwg
fr
fr
amc
amc
rp
sp
rp
sp
rp
sp
rp
sp
rp
sp
2050
3
2.2
5.5
3.2
0
0
0
-0.3
9.6
6.1
2049
2.9
2.2
5.3
3.1
0
0
-0.1
-0.3
8.8
5.7
2048
2.8
2.1
5.1
2.9
0
0
-0.3
-0.4
8.3
5.4
2047
2.7
2
5
2.8
0
0
-0.4
-0.5
7.8
5.1
2046
2.6
2
4.8
2.7
0
0
-0.5
-0.5
7.4
4.8
2045
2.5
1.9
4.6
2.6
0
0
-0.7
-0.6
6.9
4.5
2044
2.4
1.8
4.4
2.5
0
0
-0.8
-0.6
6.5
4.3
2043
2.4
1.8
4.2
2.4
0.1
0
-0.9
-0.7
6.2
4
2042
2.3
1.7
4.1
2.3
0.1
0
-1
-0.7
5.8
3.8
2041
2.2
1.6
3.9
2.2
0.1
0
-1
-0.7
5.5
3.6
2040
2.1
1.6
3.8
2.1
0.1
0
-1.1
-0.7
5.2
3.4
2039
2
1.5
3.6
2
0.1
0
-1.1
-0.7
4.9
3.1
2038
1.9
1.4
3.4
1.9
0.1
0
-1.1
-0.7
4.6
2.9
2037
1.8
1.3
3.2
1.8
0.1
0
-1.1
-0.7
4.2
2.7
2036
1.7
1.2
3
1.7
0.1
0
-1.1
-0.7
3.9
2.5
2035
1.5
1.2
2.8
1.6
0.1
0
-1.1
-0.6
3.5
2.3
2034
1.4
1.1
2.5
1.5
0.1
0
-1.1
-0.6
3.2
2.1
2033
1.3
1
2.3
1.3
0.1
0
-1
-0.6
2.8
1.9
2032
1.2
0.9
2.1
1.2
0.1
0
-1
-0.5
2.5
1.6
2031
1
0.8
1.8
1
0.1
0
-0.9
-0.5
2.3
1.5
2030
0.9
0.7
1.5
0.8
0.1
0
-0.9
-0.5
2.2
1.5

Available flags:

b break in time series c confidential
d definition differs, see metadata e estimated
f forecast i see metadata
m imputed n not significant
p provisional r revised
s Eurostat estimate u low reliability
x dropped due to insufficient sample size y unreliable due to small sample size
z not applicable