IDEAS home Printed from https://ideas.repec.org/p/egc/wpaper/1000.html
   My bibliography  Save this paper

Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania

Author

Listed:
  • Achyuta Adhvaryu

    (School of Public Health, Yale University)

Abstract

I show that malaria misdiagnosis, common in resource-poor settings, decreases the expected effectiveness of an important new therapy–since only a fraction of treated individuals have malaria–and reduces the rate of learning via increased noise. Using pilot program data from Tanzania, I exploit variation in the location and timing of survey enumeration to construct reference groups composed of randomly chosen, geographically and temporally proximate acutely ill individuals. I show that learning is stronger and adoption rates are higher in villages with more misdiagnosis. Subsidizing diagnostic tools or improving initial targeting of new technologies may thus accelerate uptake through learning.

Suggested Citation

  • Achyuta Adhvaryu, 2011. "Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania," Working Papers 1000, Economic Growth Center, Yale University.
    • Handle: RePEc:egc:wpaper:1000
    as

    Download full text from publisher

    File URL: http://www.econ.yale.edu/growth_pdf/cdp1000.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Kremer & Edward Miguel, 2007. "The Illusion of Sustainability," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1007-1065.
    2. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    3. Pascaline Dupas, 2014. "Short‐Run Subsidies and Long‐Run Adoption of New Health Products: Evidence From a Field Experiment," Econometrica, Econometric Society, vol. 82(1), pages 197-228, January.
    4. Hoyt Bleakley, 2010. "Malaria Eradication in the Americas: A Retrospective Analysis of Childhood Exposure," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 1-45, April.
    5. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521530927.
    6. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    7. Jessica Cohen & Pascaline Dupas, 2010. "Free Distribution or Cost-Sharing? Evidence from a Randomized Malaria Prevention Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 1-45.
    8. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521824019.
    9. Adrienne M. Lucas, 2010. "Malaria Eradication and Educational Attainment: Evidence from Paraguay and Sri Lanka," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 46-71, April.
    10. Hong, Sok Chul, 2007. "The Burden of Early Exposure to Malaria in the United States, 1850–1860: Malnutrition and Immune Disorders," The Journal of Economic History, Cambridge University Press, vol. 67(4), pages 1001-1035, December.
    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. Jessica Cohen & Pascaline Dupas & Simone Schaner, 2015. "Price Subsidies, Diagnostic Tests, and Targeting of Malaria Treatment: Evidence from a Randomized Controlled Trial," American Economic Review, American Economic Association, vol. 105(2), pages 609-645, February.

    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. Adhvaryu, Achyuta, 2011. "Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania," Working Papers 92, Yale University, Department of Economics.
    2. Adhvaryu, Achyuta, 2011. "Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania," Center Discussion Papers 115712, Yale University, Economic Growth Center.
    3. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    4. Raphaël Soubeyran, 2019. "Technology adoption and pro-social preferences," CEE-M Working Papers halshs-02291905, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    5. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    6. Raphael Soubeyran, 2021. "Pro-social Motivations, Externalities and Incentives," Working Papers hal-03212888, HAL.
    7. Fink, Günther & Venkataramani, Atheendar S. & Zanolini, Arianna, 2021. "Early life adversity, biological adaptation, and human capital: evidence from an interrupted malaria control program in Zambia," Journal of Health Economics, Elsevier, vol. 80(C).
    8. Pascaline Dupas, 2014. "Short‐Run Subsidies and Long‐Run Adoption of New Health Products: Evidence From a Field Experiment," Econometrica, Econometric Society, vol. 82(1), pages 197-228, January.
    9. Matsumoto, Tomoya, 2014. "Disseminating new farming practices among small scale farmers: An experimental intervention in Uganda," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 43-74.
    10. David Atkin & Azam Chaudhry & Shamyla Chaudry & Amit K. Khandelwal & Eric Verhoogen, 2017. "Organizational Barriers to Technology Adoption: Evidence from Soccer-Ball Producers in Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1101-1164.
    11. Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
    12. Raquel Fernandez, 2007. "Culture as Learning: The Evolution of Female Labor Force Participation over a Century," NBER Working Papers 13373, National Bureau of Economic Research, Inc.
    13. Raquel Fernandez, 2009. "Culture as Learning: The Evolution of Female Labor Force Participation over a Century," 2009 Meeting Papers 78, Society for Economic Dynamics.
    14. Fernández, Raquel, 2007. "Culture as Learning: The Evolution of Female Labour Force Participation Over a Century," CEPR Discussion Papers 6451, C.E.P.R. Discussion Papers.
    15. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    16. Hoffmann, Bridget, 2018. "Do non-monetary prices target the poor? Evidence from a field experiment in India," Journal of Development Economics, Elsevier, vol. 133(C), pages 15-32.
    17. Ariel BenYishay & A. Mushfiq Mobarak, 2014. "Social Learning and Communication," NBER Working Papers 20139, National Bureau of Economic Research, Inc.
    18. Rossi, Pauline & Villar, Paola, 2020. "Private health investments under competing risks: Evidence from malaria control in Senegal," Journal of Health Economics, Elsevier, vol. 73(C).
    19. Fitzsimons, Emla & Malde, Bansi & Mesnard, Alice & Vera-Hernández, Marcos, 2016. "Nutrition, information and household behavior: Experimental evidence from Malawi," Journal of Development Economics, Elsevier, vol. 122(C), pages 113-126.
    20. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.

    More about this item

    Keywords

    technology adoption; learning; malaria; Tanzania;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:egc:wpaper:1000. 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: Benjamin King (email available below). General contact details of provider: https://edirc.repec.org/data/egyalus.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.