Returns To Education (Angrist&Kruger Duflo, DDK) Flashcards
Mincerian returns to education expression
Log incomei = a + b(years educationi) + c(experiencei) + εi
I.e an extra year of education raises income by b%
What do we find the return to education to be?
b=8-12% i.e 8-12% increase in income per year of education
Econometric concerns with this regression (2)
Omitted variable bias - omits other factors influencing income e.g motivation, ability etc
Measurement error - quality/learning Varys by country, school, teacher etc
Data may also be unreliable in low income countries
Rich country schooling: when do children enter school, and compulsory till?
Enter school in year they turn 6.
Compulsory till 16
Angrist and Krueger
Compared adult income of those born in first and last quarter.
Since those born in 1st quarter get 6 months less compulsory schooling than those in last quarter!
Then to account for people to drop out at 16, scale up the income difference
What did they find for return to schooling
Return to an additional year of schooling is 10% (complies with Mincerian estimate of 8-12%)
What is important to note about this result tho
Returns may be different compared to average person e.g smaller if they dont get much out of school anyways so a lot dropped out of school when they could (hit 16)
I.e only shows variation for people dropping out vs staying,
Why is measuring returns to education in developing countries difficult (3)
Most are not in formal sector - e.g self employed like farmers with no official/regular wage, informal sector
Wages may not reflect productivity e.g government salaries
Hard to measure social externalities too
So what is the best way to find returns to education in developed countries
Use surveys asking how much people earn
Duflo experiment
If school construction can increase average years of schooling.
(Reducing direct cost r of getting to nearest school, since more around and closer!)
Effect of 61807 new schools built 1973-79
Enrolment from 69% 1973 to 83% in 1978
(They built more schools in places with lower enrolment)
Research design in Duflo - 3 categories
Differences in differences
Looked at:
Children younger than 6 at program start - full exposure (get full primary school benefits)
Children older than 12 at program start - not exposed at all (since finished primary school)
Exposure between targeted vs non-targeted areas
Difference in difference equation
ΔDiD = (y target region old - y target region young) - (y other region old - y other region young)
To cancel out region and cohort invariant differences (because olders will obviously earn more, and target regions are poorer orginally)
Findings (DiD figure)
2.6% higher wage for DID
What did Duflo find returns to education to be
And criticism/evaluation
10.4% (similar to Angruist and Kruher, again supporting Mincerian returns)
Eval: from a sample of wage earners (61k/153k total), so doesnt include non-formal wage earners. (Problem mentioned earlier when looking at developing countries)