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Early-life Famine Exposure, Hunger Recall and Later-life Health

Author

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  • Zichen Deng

    (Norwegian School of Economics)

  • Maarten Lindeboom

    (Vrije Universiteit Amsterdam)

Abstract

We use newly collected individual-level hunger recall information from the China Family Panel Survey to estimate the causal effect of undernourishment on later-life health. We develop a Two-Sample Instrumental Variable (TSIV) estimator that can deal with heterogeneous samples. We find a non-linear relationship between the Great Chinese Famine and hunger recall. The non-linearity in famine exposure may explain the variation in the famine’s effect on later life health found in previous studies. We also find that exposure to famine-induced hunger early in life leads to worse health among females fifty years later. This effect is larger than the reduced-form effect found in previous studies. For males, we find no impact.

Suggested Citation

  • Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20210054
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    References listed on IDEAS

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    1. Gerard J. van den Berg & Pia R. Pinger & Johannes Schoch, 2016. "Instrumental Variable Estimation of the Causal Effect of Hunger Early in Life on Health Later in Life," Economic Journal, Royal Economic Society, vol. 126(591), pages 465-506, March.
    2. Currie, Janet & Yelowitz, Aaron, 2000. "Are public housing projects good for kids?," Journal of Public Economics, Elsevier, vol. 75(1), pages 99-124, January.
    3. Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2021. "The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variables," American Economic Review, American Economic Association, vol. 111(11), pages 3663-3698, November.
    4. Tan, Chih Ming & Tan, Zhibo & Zhang, Xiaobo, 2014. "Sins of the fathers: The intergenerational legacy of the 1959-1961 Great Chinese Famine on children's cognitive development:," IFPRI discussion papers 1351, International Food Policy Research Institute (IFPRI).
    5. Douglas Almond & Lena Edlund & Hongbin Li & Junsen Zhang, 2010. "Long-Term Effects of Early-Life Development: Evidence from the 1959 to 1961 China Famine," NBER Chapters, in: The Economic Consequences of Demographic Change in East Asia, pages 321-345, National Bureau of Economic Research, Inc.
    6. Scholte, Robert S. & van den Berg, Gerard J. & Lindeboom, Maarten, 2015. "Long-run effects of gestation during the Dutch Hunger Winter famine on labor market and hospitalization outcomes," Journal of Health Economics, Elsevier, vol. 39(C), pages 17-30.
    7. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    8. Cao, Jiarui & Xu, Yiqing & Zhang, Chuanchuan, 2022. "Clans and calamity: How social capital saved lives during China's Great Famine," Journal of Development Economics, Elsevier, vol. 157(C).
    9. Timothy B. Armstrong & Michal Kolesár, 2021. "Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Econometrica, Econometric Society, vol. 89(3), pages 1141-1177, May.
    10. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
    11. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 1053-1079.
    12. Stijn Vansteelandt & Vanessa Didelez, 2018. "Improving the robustness and efficiency of covariate‐adjusted linear instrumental variable estimators," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 45(4), pages 941-961, December.
    13. Lin, Justin Yifu & Yang, Dennis Tao, 2000. "Food Availability, Entitlements and the Chinese Famine of 1959-61," Economic Journal, Royal Economic Society, vol. 110(460), pages 136-158, January.
    14. Kosuke Imai & Marc Ratkovic, 2014. "Covariate balancing propensity score," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 243-263, January.
    15. Seonghoon Kim & Belton Fleisher & Jessica Ya Sun, 2017. "The Long‐term Health Effects of Fetal Malnutrition: Evidence from the 1959–1961 China Great Leap Forward Famine," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1264-1277, October.
    16. Hoyt Bleakley, 2007. "Disease and Development: Evidence from Hookworm Eradication in the American South," The Quarterly Journal of Economics, Oxford University Press, vol. 122(1), pages 73-117.
    17. Alberto Abadie & Guido W. Imbens, 2012. "A Martingale Representation for Matching Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 833-843, June.
    18. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    19. Xin Meng & Nancy Qian, 2009. "The Long Term Consequences of Famine on Survivors: Evidence from a Unique Natural Experiment using China's Great Famine," NBER Working Papers 14917, National Bureau of Economic Research, Inc.
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    Cited by:

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    More about this item

    Keywords

    famine; hunger; developmental origins; two-sample instrumental variable;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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