IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/c6zg5.html
   My bibliography  Save this paper

Livestock Transfers Can Improve Child Health: Evidence from a Randomized Phase-In Design in Guatemala

Author

Listed:
  • Mullally, Conner
  • Rivas, Mayra
  • McArthur, Travis

Abstract

We evaluate a program in Guatemala offering training and transfers of a local chicken variety using a randomized phase-in design with imperfect compliance. We do not find strong evidence for or against positive intent-to-treat effects on household-level outcomes, including indicators of expenditure, calorie and protein intake, diet quality, egg consumption and production, as well as chicken ownership and management. Among girls between the ages of six and 60 months, we find that the program reduced stunting by 23.5 (+/- 19.4) percentage points, while also improving other height and weight outcomes. Boys are more likely to suffer from intestinal illness, which could explain differences in program impacts by sex. Children in the poorest households experienced the largest impacts on dietary diversity and the probability of consuming animal-source foods, but these impacts did not translate into larger effects on height or weight.

Suggested Citation

  • Mullally, Conner & Rivas, Mayra & McArthur, Travis, 2019. "Livestock Transfers Can Improve Child Health: Evidence from a Randomized Phase-In Design in Guatemala," SocArXiv c6zg5, Center for Open Science.
    • Handle: RePEc:osf:socarx:c6zg5
    DOI: 10.31219/osf.io/c6zg5
    as

    Download full text from publisher

    File URL: https://osf.io/download/5c7eb9a2773b2d0017091405/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/c6zg5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Esther Duflo, 2003. "Grandmothers and Granddaughters: Old-Age Pensions and Intrahousehold Allocation in South Africa," The World Bank Economic Review, World Bank, vol. 17(1), pages 1-25, June.
    2. repec:cep:stieop:43 is not listed on IDEAS
    3. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    4. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    5. Irineu Evangelista de Carvalho Filho, 2012. "Household Income as a Determinant of Child Labor and School Enrollment in Brazil: Evidence from a Social Security Reform," Economic Development and Cultural Change, University of Chicago Press, vol. 60(2), pages 399-435.
    6. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    7. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
    8. Orazio Attanasio & Helen Baker-Henningham & Raquel Bernal & Costas Meghir & Diana Pineda & Marta Rubio-Codina, 2022. "Early Stimulation and Nutrition: The Impacts of a Scalable Intervention," Journal of the European Economic Association, European Economic Association, vol. 20(4), pages 1395-1432.
    9. Orazio Attanasio & Costas Meghir & Emily Nix, 2015. "Human Capital Development and Parental Investment in India," Cowles Foundation Discussion Papers 2026R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2017.
    10. Yoav Benjamini & Daniel Yekutieli, 2005. "False Discovery Rate-Adjusted Multiple Confidence Intervals for Selected Parameters," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 71-81, March.
    11. Oriana Bandiera & Robin Burgess & Narayan Das & Selim Gulesci & Imran Rasul & Munshi Sulaiman, 2013. "Can Basic Entrepreneurship Transform the Economic Lives of the Poor?," STICERD - Economic Organisation and Public Policy Discussion Papers Series 043, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    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. Conner Mullally & Mayra Rivas & Travis McArthur, 2021. "Using Machine Learning to Estimate the Heterogeneous Effects of Livestock Transfers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1058-1081, May.
    2. Briole, Simon & Gurgand, Marc & Maurin, Eric & McNally, Sandra & Ruiz-Valenzuela, Jenifer & Santín, Daniel, 2022. "The Making of Civic Virtues: A School-Based Experiment in Three Countries," IZA Discussion Papers 15141, Institute of Labor Economics (IZA).
    3. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.
    4. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Asanov, Anastasiya-Mariya & Asanov, Igor & Buenstorf, Guido, 2024. "A low-cost digital first aid tool to reduce psychological distress in refugees: A multi-country randomized controlled trial of self-help online in the first months after the invasion of Ukraine," Social Science & Medicine, Elsevier, vol. 362(C).
    6. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    7. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    8. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    9. Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
    10. Jacobus Hoop & Patrick Premand & Furio Rosati & Renos Vakis, 2018. "Women’s economic capacity and children’s human capital accumulation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(2), pages 453-481, April.
    11. Elek, Péter & Bíró, Anikó, 2021. "Regional differences in diabetes across Europe – regression and causal forest analyses," Economics & Human Biology, Elsevier, vol. 40(C).
    12. Michael C. Knaus, 2021. "A double machine learning approach to estimate the effects of musical practice on student’s skills," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
    13. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    14. Everding, Jakob & Marcus, Jan, 2020. "The effect of unemployment on the smoking behavior of couples," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(2), pages 154-170.
    15. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    16. Zelu, Barbara Ama & Iranzo, Susana & Perez-Laborda, Alejandro, 2024. "Financial inclusion and women economic empowerment in Ghana," Emerging Markets Review, Elsevier, vol. 62(C).
    17. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar, 2024. "Sovereign Risk and Economic Complexity," IDB Publications (Working Papers) 13393, Inter-American Development Bank.
    18. Abhijit Banerjee, 2016. "Policies for a better-fed world," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 3-17, February.
    19. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389, CPB Netherlands Bureau for Economic Policy Analysis.
    20. Jonas Hjort & Golvine de Rochambeau & Vinayak Iyer & Fei Ao, 2020. "Informational Barriers to Market Access: Experimental Evidence from Liberian Firms," NBER Working Papers 27662, National Bureau of Economic Research, Inc.

    More about this item

    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:osf:socarx:c6zg5. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.