Economics of Education and Human Capital

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25 Terms

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Human Capital

1) Education and training builds skills that command returns on the labor market; (increased wages).

2) Individuals decide how much education and training to get based in part on these labor market returns;(decide education based on incentives)

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Differences between human capital and physical capital

A person’s human capital can be owned only by her/himself

  • It can’t be sold

  • Can’t be rented

  • It cannot be seized by a lender if an individual defaults.

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Human Capital Model Implications

  • Higher tuition costs reduce the probability of attending college 

  • Forgone earnings matter (college students not earning anything for first 4 years)

  • Educational investments should be make when young (the NPV stream is more valuable if there are more years to enjoy it)

  • Interest rates matter (earnings far off in the future must be sufficiently high to affect choices today) 

  • Both the initial level and the growth rate in earnings matter

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Human Capital Enriching the Model

  • Who pays for college affects Gary’s decision

  • Gary likes/dislikes college (amenity value of college)

  • Job amenity (Gary’s preference for blue collar vs white collar)

  • Increase in the number of years worked (college improves health and is less physically demanding jobs usually)

  • The course of study matters to whether an individual attends college

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Human Capital: Why do people make different decisions?

  • Individuals make different decisions based on the enrichment model (tution, like/dislike college, heterogenous preferences for jobs)

  • But individuals also differ in their potential to benefit from college (different initial wage, growth rates, and some people recieve better results from attending college)

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Positive Sorting of Gains

The people who receive the most benefit already attend

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Negative Sorting of Gains

The people who receive the least benefit already attend, and those who benefit the most don’t attend

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Carnerio, Heckman, Vytlacil 2011 Research

  • Argues that there is positive sorting into college in the US 

  • Students currently attending college have larger earnings gains. Students not attending would have no gains. 

  • Population Studied: Representative sample of the US 

  • ATE: each year of college causes 6% increase in wage

  • TT: Each year of college causes 14% increase in wage

  • TUT: each year of college causes 0% increase in wage 

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Zimmernan (2014)

Finds academically marginal students have large earnings gains from college.

  • Student who gained admissions to FIU experienced a 22% gain in earnings 8-14 years after high school graduation

Population: Students at margin of admission to Florida State Universities 

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Stinebrickner & Stinebrickner

Studied how Berea college students updated their beliefs about their own abilities which explained the drop out rate. 

  • Students @ the college entered with overoptimistic views about academic ability

  • When they received grades students revised their beliefs (usually down) 

  • 40% of dropout can be explained by students learning about their academic abilities.

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O’Connor (2000)

Remediation seems to be less effective the later it occurs (Age of Investment matters)

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Flinn, Todd, Zhang (2023)

“Big Five” personality traits:

  • studied non-cognitive skills have a direct effect on wage and also build cognitive skills (Perseverance, motivation, emotional self-control, etc)

  • Emotional Stability (increases wages)

  • Agreeableness (decreases wages)

  • Conscientiousness (increases length of employment) 

  • Openness to experience (decreases length of employment)

  • Extroversion (decreases length of employment)

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Self-Productivity of Skills

Higher skills in period t → higher skills next period

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Skill Investment Complementarity

Investments are more productive if skills are higher

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Dynamic Complementary

Investments in earlier periods make investments in later periods more productive and vice versa.

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Elasticity of Substitution 

Measures how easy it is to substitute between inputs and keep outputs fixed. 

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Cunha, Heckman, and Schennach (2010)

Shows that skills are multidimensional and self-productive

  • Estimates higher elasticity of substitution between skills and investments at early ages 

    • Higher substitution between skills and investments benefit the low skilled students the most early on. 

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Jackson and Johnson (2019)

Tested for the presence of dynamic complementarities in educational investments

  • Examined access to Head Start and court-ordered school finance reforms

  • Found dynamic complementarity between the two

  • Also found it increased additional years of education, probability of HS graduation, higher wages and less likely to be incarcerated.  

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Incentive Constraint

A student who exerts high effort must prefer it to low effort.

Upward sloping- highlight area below

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Participation Constraint

A student who exerts high effort must also prefer it to their outside option. 

Downward sloped- highlighted above the line

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Intuition for the Participation Constraint

For a student to want to take the course & exert high effort there must be a high expected reward: This is the case if:

  • high expected grades

  • exerting high effort is not costly

  • the utility of the outside option, U, is low

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Intuition for the Incentive Constraint

For a student who is in the course to want to exert high effort rather than low effort, there must be:

  • A large grade difference between high and low grade

  • A small difference in the cost of effort

  • A strong connection between effort and grades is large (means effort has a significant impact on getting an A in the course).

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Oosterbeek 2021

Had evidence that age 12 is too early to track. 

  • Month of birth affects students’ tracks in the Netherlands 

  • Typically the strongest students were born in Sept and the weakest in August 

  • Maturity impact, people are then sorted based on when they were born

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Duflo, Dupas, Kremer (2011)

Kenya centralized education experiment where 60 schools was assigned students classes based on initial ability while the other school was based on randomization.

  • Findings: Students test scores benefited from tracking (with no statistically significant difference between the tracks).

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Define “concerted cultivation”

as the deliberate organization of childhood
around intellectual and socioemotional development.