Source: OECD data library: https://data.oecd.org/
Source for mean years of schooling: Our world in data:https://ourworldindata.org/grapher/mean-years-of-schooling
Better education is strongly correlated with higher GDP per
capita. - for developing countries
Graph Analysis
Developed countries: all scores are higher. Lower variance. Scores are constant regardless of public spending amount.
Developing countries: all scores are lower. Higher variance.
Graph Analysis
Below upper secondary: higher for developing countries, lower for developed countries. No meaningful correlation found for either types of countries.
Upper secondary: lower for developing countries, higher for developed countries. No meaningful correlation found for either types of countries.
Tertiary: lower for developing countries, higher for developed countries. Weak positive correlation for developed countries only.
Developed countries
More public spending on education → higher adult education levels.
PISA scores constantly higher regardless of public spending on education.
Developing countries
More public spending on education → NOT higher adult education levels.
PISA scores generally lower and highly vary.
Both developing and developed countries spend at least 2% of their GDP on education in general.
There is no strong correlation that spending more on education necessarily results in higher educational attainment.
Two datasets, education expenditure and GDP were used.For GDP, we used MLN_USD of USD_CAP because we wanted to compare between absolute values.
cor(expen_GDP$GDP_val, expen_GDP$expen)
## [1] 0.6849144
cor(expen_GDP2$GDP_val, expen_GDP2$EARLYCHILDEDU, use="complete.obs")
## [1] 0.8639771
cor(expen_GDP2$GDP_val, expen_GDP2$PRY_TRY, use="complete.obs")
## [1] 0.968626
cor(expen_GDP2$GDP_val, expen_GDP2$SRY, use="complete.obs")
## [1] 0.9039069
cor(expen_GDP2$GDP_val, expen_GDP2$PRY_NTRY, use="complete.obs")
## [1] 0.9358781
cor(expen_GDP2$GDP_val, expen_GDP2$TRY, use="complete.obs")
## [1] 0.9594817
What the graph tells us There is a high relationship between each level of education and GDP.
Interpretation Those with high education expenditure tend to have a higher GDP.
We decided to bring country development level into the picture as well. We used country development grouping, provided by the UN.
What the graph tells us There isn’t a very
high relationship between development level and education.
Adult education level was used, on top of the previous datasets, to answer this question.
What the graph tells us Developed countries have higher
median, and larger tertiary education expenditure in general.
Interpretation Developed countries have various ways of life, and have higher chance for education.
Unemployment rate falls as education attainment level gets higher.
summary(unemp)
## YEAR BUPPSRY UPPSRY_NTRY TRY
## Min. :2000 Min. : 0.3252 Min. : 1.285 Min. : 0.9021
## 1st Qu.:2006 1st Qu.: 6.2778 1st Qu.: 3.931 1st Qu.: 2.8269
## Median :2011 Median : 9.2216 Median : 5.837 Median : 3.7370
## Mean :2011 Mean :11.1051 Mean : 6.865 Mean : 4.3355
## 3rd Qu.:2016 3rd Qu.:13.3092 3rd Qu.: 8.274 3rd Qu.: 5.0565
## Max. :2021 Max. :49.1624 Max. :28.133 Max. :19.4091
## NA's :22 NA's :22
Employment rate rises as education attainment level gets higher.
summary(emp)
## YEAR BUPPSRY UPPSRY_NTRY TRY
## Min. :2000 Min. :26.28 Min. :37.79 Min. :37.07
## 1st Qu.:2006 1st Qu.:49.25 1st Qu.:70.32 1st Qu.:81.44
## Median :2011 Median :56.61 Median :73.82 Median :84.15
## Mean :2011 Mean :55.98 Mean :73.13 Mean :82.68
## 3rd Qu.:2016 3rd Qu.:63.01 3rd Qu.:78.72 3rd Qu.:86.49
## Max. :2021 Max. :98.68 Max. :97.94 Max. :97.34
## NA's :22 NA's :22
4 countries were chosen from each developed and developing countries: classified according to UN [World Economics and Situation Prospect]
Developed countries: United Kingdom, United States, Germany,
Canada
Developing countries: Korea, Costa Rica, Brazil,
Turkey
Unemployment rate
Those with higher education level tend to have a
lower unemployment rate for developed
countries, but there is no distinct relationship for
developing countries.
Employment rate
Those with higher education level tend to have a
higher employment rate, and this relationship is
stronger for the developed countries.
To show the difference between developed and developing countries
more clearly, we made a box plot.
(27 countries in developed and 10 countries in
developing)
Inter-quartile range: comparatively shorter with higher education level → more similar
Unemployment rate
Developed: higher education level, lower unemployment
rate
Developing: in the similar range.
However, the median of upper secondary > below upper
secondary
Employment rate
Higher education levels, higher employment rate.
Developed: large difference between below upper
secondary & upper secondary
Developing: below upper secondary education comparatively tall
→ differ more
Developed: higher education level → more likely to be
employed,
below upper secondary education → especially more difficult to
get a job
Developing: The unemployment rate for upper secondary
education > below upper secondary education,
because of a “mismatch” between skilled persons and the number of
available jobs matching their competencies and expectations in
lower-income countries (referenced from UN
article).
Inter-quartile range: comparatively taller for developing countries → differ more (but should be aware)
Unemployment rate
Below upper secondary: developing < developed
Upper secondary: similar
Tertiary: similar (developing > developed)
Employment rate
Below upper secondary: developing > developed
Other education levels: developing < developed
Below upper secondary in developing → more likely
to be employed than in developed
Higher education levels in developed → more likely to be
employed than in developing
Overall, those with higher education are more likely to be
employed.
This is especially true in developed countries.
Yes, education positively affects GDP per Capita. Effect is stronger in countries with lower levels of human capital.
Ambiguous, so difficult to draw a strong conclusion for spendings in general.
Yes, level of education can improve individual’s welfare
Krueger, A.B. and Lindahl, M. (2001), “Education for growth: why and for whom?”, Journal of Economic Literature, Vol. 39 No. 4, pp. 1101-1136.
United Nations. (2015, November 17). Access to higher education doesn’t always lead to lower unemployment – UN Labour agency | | UN news. United Nations. Retrieved from https://news.un.org/en/story/2015/11/515702-access-higher-education-doesnt-always-lead-lower-unemployment-un-labour-agency
OECD (2022), Public spending on education (indicator). doi: 10.1787/f99b45d0-en (Accessed on 26 May 2022)
OECD (2022), Adult education level (indicator). doi: 10.1787/36bce3fe-en (Accessed on 26 May 2022)
OECD (2022), Mathematics performance (PISA) (indicator). doi: 10.1787/04711c74-en (Accessed on 26 May 2022)
OECD (2022), Reading performance (PISA) (indicator). doi: 10.1787/79913c69-en (Accessed on 26 May 2022)
OECD (2022), Science performance (PISA) (indicator). doi: 10.1787/91952204-en (Accessed on 26 May 2022)
OECD (2022), Private spending on education (indicator). doi: 10.1787/6e70bede-en (Accessed on 03 June 2022)
OECD (2022), Employment by education level (indicator). doi: 10.1787/26f676c7-en (Accessed on 03 June 2022
OECD (2022), Gross domestic product (GDP) (indicator). doi: 10.1787/dc2f7aec-en (Accessed on 03 June 2022)
Lee-Lee (2016); Barro-Lee (2018) and UNDP HDR (2018). Mean years of total schooling across all education levels. 1870 – 2017. http://www.barrolee.com/Lee_Lee_LRdata_dn.htm; http://www.barrolee.com/data/yrsch2.htm; and http://hdr.undp.org/en/indicators/103006. (accessed on 03 June 2022)