IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/123162.html
   My bibliography  Save this paper

Effects of nutrition promotion on child growth in El Alto, Bolivia: results from a geographical discontinuity design

Author

Listed:
  • Gertner, Gaston
  • Johannsen, Julia
  • Martinez, Sebastian

Abstract

Interventions that offer growth monitoring and nutrition counseling services to families with young children are one of the cornerstones of nutrition policy in developing countries. By raising caregivers’ awareness and encouraging recommended feeding, health, and hygiene practices, these programs seek to improve children’s growth, measured in terms of height and weight. We explore the effects of one such intervention that conducted home visits and community meetings with mothers of children under two years old in El Alto, a city of high poverty concentration in Bolivia. Project eligibility was limited to just over 400 households residing within a strictly defined geographical area. We exploit the resulting geographical discontinuity to identify impacts. Three years after the project started, we find that caregivers in the intervention area show substantial gains in health- and nutrition-related knowledge (0.327s) and practices (0.273s) relative to their peers just outside the project boundary. We find no detectable impacts on children’s height, but observe a significant increase in the prevalence of overweight children. For contexts such as El Alto, with high prevalence of stunting and increasing risk of overweight in the same population, these results suggest that nutrition promotion interventions should reassess both content and behavioral change strategies to reduce stunting while concurrently preventing excess weight gain in children.

Suggested Citation

  • Gertner, Gaston & Johannsen, Julia & Martinez, Sebastian, 2016. "Effects of nutrition promotion on child growth in El Alto, Bolivia: results from a geographical discontinuity design," LSE Research Online Documents on Economics 123162, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:123162
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/123162/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    2. Ruth S.M. Chan & Jean Woo, 2010. "Prevention of Overweight and Obesity: How Effective is the Current Public Health Approach," IJERPH, MDPI, vol. 7(3), pages 1-19, February.
    3. Emanuela Galasso & Nithin Umapathi, 2009. "Improving nutritional status through behavioural change: lessons from Madagascar," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 1(1), pages 60-85.
    4. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    5. Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
    6. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    7. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    8. Nie, Peng & Sousa-Poza, Alfonso & He, Xiaobo, 2015. "Peer effects on childhood and adolescent obesity in China," China Economic Review, Elsevier, vol. 35(C), pages 47-69.
    9. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    Full references (including those not matched with items on IDEAS)

    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. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    2. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    3. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    4. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    5. Deng, Taotao & Hu, Yukun & Ma, Mulan, 2019. "Regional policy and tourism: A quasi-natural experiment," Annals of Tourism Research, Elsevier, vol. 74(C), pages 1-16.
    6. Yiqi Liu & Yuan Qi, 2023. "Using Forests in Multivariate Regression Discontinuity Designs," Papers 2303.11721, arXiv.org, revised Jul 2024.
    7. Ivan A Canay & Vishal Kamat, 2018. "Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1577-1608.
    8. Christopher S. Carpenter & Carlos Dobkin & Casey Warman, 2016. "The Mechanisms of Alcohol Control," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 328-356.
    9. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    10. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    11. Prakash, Nishith & Rockmore, Marc & Uppal, Yogesh, 2019. "Do criminally accused politicians affect economic outcomes? Evidence from India," Journal of Development Economics, Elsevier, vol. 141(C).
    12. Otávio Bartalotti, 2013. "Theory and Practice of Inference in Regression Discontinuity: A Fixed-Bandwidth Asymptotics Approach," Working Papers 1302, Tulane University, Department of Economics, revised Nov 2013.
    13. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2023. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1977-2019.
    14. Joaquín Artés & Ignacio Jurado, 2018. "Government fragmentation and fiscal deficits: a regression discontinuity approach," Public Choice, Springer, vol. 175(3), pages 367-391, June.
    15. Gurgand, Marc & Lorenceau, Adrien & Mélonio, Thomas, 2023. "Student loans: Credit constraints and higher education in South Africa," Journal of Development Economics, Elsevier, vol. 161(C).
    16. Kaniel, Ron & Parham, Robert, 2017. "WSJ Category Kings – The impact of media attention on consumer and mutual fund investment decisions," Journal of Financial Economics, Elsevier, vol. 123(2), pages 337-356.
    17. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    18. Bracco, Emanuele & De Paola, Maria & Green, Colin P. & Scoppa, Vincenzo, 2018. "The effect of far right parties on the location choice of immigrants: Evidence from Lega Nord Mayors," Journal of Public Economics, Elsevier, vol. 166(C), pages 12-26.
    19. Hsu, Yu-Chin & Shiu, Ji-Liang & Wan, Yuanyuan, 2024. "Testing identification conditions of LATE in fuzzy regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 241(1).
    20. Takahide Yanagi, 2014. "The Effect of Measurement Error in the Sharp Regression Discontinuity Design," KIER Working Papers 910, Kyoto University, Institute of Economic Research.

    More about this item

    Keywords

    nutrition promotion; growth monitoring; regression discontinuity; Bolivia;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I10 - Health, Education, and Welfare - - Health - - - General

    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:ehl:lserod:123162. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.