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The Origins of Early Childhood Anthropometric Persistence

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  • Daniel L. Millimet
  • Rusty Tchernis

Abstract

Rates of childhood obesity have increased dramatically in the last few decades. Non-causal evidence suggests that childhood obesity is highly persistent over the life cycle. However little in known about the origins of this persistence. In this paper we attempt to answer three questions. First, how do anthropometric measures evolve from birth through primary school? Second, what is the causal effect of past anthropometric outcomes on future anthropometric outcomes? In other words, how important is state dependence in the evolution of anthropometric measures during the early part of the life cycle. Third, how important are time-varying and time invariant factors in the dynamics of childhood anthropometric measures? We find that anthropometric measures are highly persistent from infancy through primary school. Moreover, most of this persistence is driven by unobserved, time invariant factors that are determined prior to birth, consistent with the so-called fetal origins hypothesis. As such, policy interventions designed to improve child anthropometric status will only have meaningful, long-run effects if these time invariant factors are altered. Unfortunately, future research is needed to identify such factors, although evidence suggests that maternal nutrition may play an important role.

Suggested Citation

  • Daniel L. Millimet & Rusty Tchernis, 2013. "The Origins of Early Childhood Anthropometric Persistence," NBER Working Papers 19554, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19554
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    1. Gabriella Conti & James J. Heckman & Rodrigo Pinto, 2016. "The Effects of Two Influential Early Childhood Interventions on Health and Healthy Behaviour," Economic Journal, Royal Economic Society, vol. 126(596), pages 28-65, October.
    2. Mazhar, Ummad & Rehman, Fahd, 2022. "Productivity, obesity, and human capital: Panel data evidence," Economics & Human Biology, Elsevier, vol. 44(C).
    3. Rieger, Matthias & Wagner, Natascha, 2015. "Child health, its dynamic interaction with nutrition and health memory – Evidence from Senegal," Economics & Human Biology, Elsevier, vol. 16(C), pages 135-145.
    4. Gabriella Conti & James J. Heckman & Rodrigo Pinto, 2016. "The Effects of Two Influential Early Childhood Interventions on Health and Healthy Behaviour," Economic Journal, Royal Economic Society, vol. 126(596), pages 28-65, October.

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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