Economics of education and human capital
Crédits ECTS :
4
Heures de cours :
24
Heures de TD :
0
Langue :
Anglais
Modalité d'examen :
mém.
Objectif
The main objective of the course is to introduce students to the voluminous micro-based literature on education and human capital accumulation.
Although many articles will be covered during the class, the course is based on self-contained lecture notes.
The first part of the course will focus on structural approaches and therefore on modeling. For this reason, some technical tools (econometrics methods for discrete dynamic programming) necessary to grasp the literature, will be covered in class.
The second part of the course will focus on experimental and quasi-experimental approaches. Topics will include the main inputs to the educational production function, from early interventions to the family environment, as well as the formation of non-cognitive skills and the persistence of achievement gaps.
Plan
Plan
Part 1 --- Christian Belzil (12h)
1-Human Capital: Becker-Ben Porath and Mincer
2-Measuring the Returns to Schooling and the Roy Model
3-Reduced-Form Dynamic Models of Grade Progression and Optimal Stopping Model of Schooling
4-Introduction to the Estimation of Discrete Dynamic Programming Models
5-Education Financing and Student Loans
6-Sorting in Public and Private Schools
Part 2 --- Fanny Landaud (12h)
7-Early Interventions
8-Non-cognitive Skills
9-Teachers and School Resources
10-Peer Effects
11-Parents and Family Investments
12-Achievement Gaps and their Intergenerational Persistence
Références
Each week, a set of notes will be available on the course webpage (Pamplemousse). The lecture notes will be self-contained. However, some key articles will need to be studies in more details. The list below contains relevant sources.
James J. Heckman Lance J. Lochner Petra E. Todd, Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond, August 2005, IZA DP 1700
Belzil, Christian (2007) ìThe Return to Schooling in Structural Dynamic Models: A Surveyî The European Economic Review, 51(5), 1059-1105.
Card D (1999) ìThe Causal E§ect of Education on Earnings Handbook of Labor Economics, Volume 3, Edited by O. Ashenfelter and D. Card
Cameron, Stephen and Heckman, James (1998) îLife Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American MalesîJournal of Political Economy, 106 (2), 262-333.
Keane, M and Ken Wolpin (1997) ìThe Career Decisions of Young Men, Journal of Political Economy, vol 105, no 3, 473-522
Lochner L. and Monge-Naranjo (2011) The Nature of credit constraints and human capitalî American Economic Review 101 (6): 2487-2529
Belzil, C, A Maurel and M. Sidibé (2021), Estimating the Value of Higher Education financial aid: Evidence from a Field Experiment, Working Paper Cornell University and NBER w23641, Journal of Labor Economics
Todd, Petra and Kenneth Wolpin, The Production of Cognitive Achievements in Children Journal of Human Capital, 2008.
Cunha, Heckman, Schennach 2011, Estimating the Technology of Cognitive and Non-cogntive Skill Formation, Econometrica, Vol. 78, No. 3 (May, 2010),
Epple, Romano and Sieg (2006) ìAdmission, Tuition and Financial Aid Policies in the Market for Higher Educationî Econometrica
Altonji J, Arcidiacono P. and A. Maurel (2018) The Analysis of Field choice in College and Graduate School: Determinants and Wage Effects, NBER Working Paper 21655
Wiswall, M. and B. Zafar (2015) Determinants of College Major Choice: Identification using an Information Experiment, Review of Economic Studies 82 (2): 791-824