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Estimating the Technology of Cognitive and Noncognitive Skill Formation

Author

Listed:
  • Cunha, Flavio

    (University of Pennsylvania)

  • Heckman, James J.

    (University of Chicago)

  • Schennach, Susanne

    (University of Chicago)

Abstract
This paper formulates and estimates multistage production functions for children's cognitive and noncognitive skills. Skills are determined by parental environments and investments at different stages of childhood. We estimate the elasticity of substitution between investments in one period and stocks of skills in that period to assess the benefits of early investment in children compared to later remediation. We establish nonparametric identification of a general class of production technologies based on nonlinear factor models with endogenous inputs. A by-product of our approach is a framework for evaluating childhood and schooling interventions that does not rely on arbitrarily scaled test scores as outputs and recognizes the differential effects of the same bundle of skills in different tasks. Using the estimated technology, we determine optimal targeting of interventions to children with different parental and personal birth endowments. Substitutability decreases in later stages of the life cycle in the production of cognitive skills. It increases slightly in later stages of the life cycle in the production of noncognitive skills. This finding has important implications for the design of policies that target the disadvantaged. For some configurations of disadvantage and for some outcomes, it is optimal to invest relatively more in the later stages of childhood than in earlier stages.

Suggested Citation

  • Cunha, Flavio & Heckman, James J. & Schennach, Susanne, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," IZA Discussion Papers 4702, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp4702
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    dynamic factor analysis; parental influence; anchoring test scores; cognitive skills; noncognitive skills; endogeneity of inputs;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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