IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp14487.html
   My bibliography  Save this paper

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

Author

Listed:
  • Deng, Zichen

    (Norwegian School of Economics)

  • Lindeboom, Maarten

    (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 mortality rates, a commonly used famine indicator, and the individual hunger experience. The nonlinearity 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 much larger than the reduced-form effect found in previous studies. For males, we find no impact.

Suggested Citation

  • Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14487
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp14487.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    5. 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.
    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. 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.
    8. 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).
    9. 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.
    10. Xu, Hongwei & Li, Lydia & Zhang, Zhenmei & Liu, Jinyu, 2016. "Is natural experiment a cure? Re-examining the long-term health effects of China's 1959–1961 famine," Social Science & Medicine, Elsevier, vol. 148(C), pages 110-122.
    11. Currie, Janet & Yelowitz, Aaron, 2000. "Are public housing projects good for kids?," Journal of Public Economics, Elsevier, vol. 75(1), pages 99-124, January.
    12. 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.
    13. Hoyt Bleakley, 2007. "Disease and Development: Evidence from Hookworm Eradication in the American South," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 73-117.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yao, Yuxin & Zhang, Yi, 2023. "The long-term and intergenerational effects of early-life hunger experience on human capital and labor market outcomes," China Economic Review, Elsevier, vol. 77(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Papers 2021-04, Centre for Health Economics, Monash University.
    2. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    3. Zichen Deng & Maarten Lindeboom, 2022. "Early‐life famine exposure, hunger recall, and later‐life health," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 771-787, June.
    4. Yao, Yuxin & Zhang, Yi, 2023. "The long-term and intergenerational effects of early-life hunger experience on human capital and labor market outcomes," China Economic Review, Elsevier, vol. 77(C).
    5. Cheng, Zhiming & Guo, Wei & Hayward, Mathew & Smyth, Russell & Wang, Haining, 2021. "Childhood adversity and the propensity for entrepreneurship: A quasi-experimental study of the Great Chinese Famine," Journal of Business Venturing, Elsevier, vol. 36(1).
    6. Li, Jinhu & Menon, Nidhiya, 2020. "Echo Effects of Early-Life Health Shocks: The Intergenerational Consequences of Prenatal Malnutrition during the Great Leap Forward Famine in China," IZA Discussion Papers 13171, Institute of Labor Economics (IZA).
    7. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    8. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    9. 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.
    10. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    11. Xu, Hongwei & Li, Lydia & Zhang, Zhenmei & Liu, Jinyu, 2016. "Is natural experiment a cure? Re-examining the long-term health effects of China's 1959–1961 famine," Social Science & Medicine, Elsevier, vol. 148(C), pages 110-122.
    12. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2021. "The effects of in-utero exposure to influenza on mental health and mortality risk throughout the life-course," Economics & Human Biology, Elsevier, vol. 43(C).
    13. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    14. Denis Cogneau & Lionel Kesztenbaum, 2016. "Short and long-term impacts of famines: The case of the siege of Paris 1870-1871," Working Papers halshs-01321939, HAL.
    15. Lee, Ines, 2024. "Co-benefits from health and health systems to education," Health Policy, Elsevier, vol. 142(C).
    16. Tafere, Kibrom, 2016. "Inter-generational Effects of Early Childhood Shocks on Human Capital: Evidence from Ethiopia," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236056, Agricultural and Applied Economics Association.
    17. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Shabnam, Nourin & Guven, Cahit & Ulubasoglu, Mehmet, 2021. "Lack of Food Access and Double Catastrophe in Early Life: Lessons from the 1974–1975 Bangladesh Famine," MPRA Paper 109653, University Library of Munich, Germany.
    19. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    20. Pramod Kumar Sur & Masaru Sasaki, 2021. "The Persistent Effect of Famine on Present-Day China: Evidence from the Billionaires," Papers 2104.00935, arXiv.org, revised Apr 2021.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp14487. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.