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Author: Agostinelli, Francesco
Resulting in 2 citations.
1. Agostinelli, Francesco
Essays on Children's Skill Formation
Ph.D. Dissertation, Department of Economics, Arizona State University, 2018
Cohort(s): Children of the NLSY79, NLSY79, NLSY79 Young Adult
Publisher: ProQuest Dissertations & Theses (PQDT)
Keyword(s): Armed Services Vocational Aptitude Battery (ASVAB); Behavior Problems Index (BPI); Children, Home Environment; Family Income; Home Observation for Measurement of Environment (HOME); Maternal Employment; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Peabody Picture Vocabulary Test (PPVT); Skill Formation; Work Hours

Permission to reprint the abstract has not been received from the publisher.

The dissertation is composed by three chapters. In Chapter 2 (coauthored with Matthew Wiswall) I develop new results for the identification and estimation of the technology of children's skill formation when children's skills are unobserved. In Chapter 4 (coauthored with Giuseppe Sorrenti) I study the effect of family income and maternal hours worked on both cognitive and behavioral child development.
Bibliography Citation
Agostinelli, Francesco. Essays on Children's Skill Formation. Ph.D. Dissertation, Department of Economics, Arizona State University, 2018.
2. Agostinelli, Francesco
Wiswall, Matthew
Estimating the Technology of Children's Skill Formation
NBER Working Paper No. 22442, National Bureau of Economic Research, July 2016.
Also: http://www.nber.org/papers/w22442
Cohort(s): Children of the NLSY79, NLSY79, NLSY79 Young Adult
Publisher: National Bureau of Economic Research (NBER)
Keyword(s): Armed Services Vocational Aptitude Battery (ASVAB); Earnings; Educational Attainment; Family Income; Parental Investments; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Peabody Picture Vocabulary Test (PPVT); Rosenberg Self-Esteem Scale (RSES) (see Self-Esteem); Rotter Scale (see Locus of Control); Skill Formation

We develop a new estimator for the process of children's skill formation in which children's skills endogenously develop according to a dynamic latent factor structure. Rather than assuming skills are measured perfectly by a particular measure, we accommodate the variety of skills measures used in practice and allow latent skills to be measured with error using a system of arbitrarily located and scaled measures. For commonly estimated production technologies, which already have a known location and scale, we prove non-parametric identification of the primitive production function parameters. We treat the parameters of the measurement model as "nuisance" parameters and use transformations of moments of the measurement data to eliminate them, analogous to the data transformations used to eliminate fixed effects with panel data. We develop additional, empirically grounded, restrictions on the measurement process that allow identification of more general production technologies, including those exhibiting Hicks neutral total factor productivity (TFP) dynamics and non-constant returns to scale.

We use our identification results to develop a sequential estimation algorithm for the joint dynamic process of investment and skill development, correcting for the biases due to measurement error in skills and investment. Using data for the United States, we estimate the technology of skill formation, the process of parental investments in children, and the adult distribution of completed schooling and earnings, allowing the production technology and investment process to freely vary as the child ages. Our estimates of high TFP and increasing returns to scale at early ages indicate that investments are particularly productive at these ages. We find that the marginal productivity of early investments is substantially higher for children with lower existing skills, suggesting the optimal targeting of interventions to disadvantaged children. Our estimates of the dynamic process of investment and skill development allow us to estimate heterogeneous treatment effects of policy interventions. We show that even a modest transfer of family income to families at ages 5-6 would substantially increase children's skills, completed schooling, and adult earnings, with the effects largest for low income families.

Bibliography Citation
Agostinelli, Francesco and Matthew Wiswall. "Estimating the Technology of Children's Skill Formation." NBER Working Paper No. 22442, National Bureau of Economic Research, July 2016.