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Preventing the Spread of Antibiotic Resistance

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  • Jérôme Adda

Abstract

This paper studies the spread of antibiotic resistance and its determinants, relying on unique data at state, year, bacteria, and drug level, covering all US states. I relate antibiotic resistance to the use of antibiotics in human prescription and animal production in a triple difference-in-difference design to control for confounders. Despite that animal production absorbs most of the antibiotic production, the results show that the main determinant of resistance is in fact human prescriptions, emphasizing the role of policies targeting hospitals and ambulatory care. Resistance is particularly sensitive to antibiotic use for newer drugs.

Suggested Citation

  • Jérôme Adda, 2020. "Preventing the Spread of Antibiotic Resistance," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 255-259, May.
    • Handle: RePEc:aea:apandp:v:110:y:2020:p:255-59
    DOI: 10.1257/pandp.20201014
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    File URL: https://doi.org/10.3886/E120743V1
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    Citations

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    Cited by:

    1. Michael Allan Ribers & Hannes Ullrich, 2023. "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers 0019, Berlin School of Economics.
    2. Huang, Shan & Ribers, Michael Allan & Ullrich, Hannes, 2022. "Assessing the value of data for prediction policies: The case of antibiotic prescribing," Economics Letters, Elsevier, vol. 213(C).
    3. Bokhari, Farasat A.S. & Mariuzzo, Franco & Yan, Weijie, 2024. "Antibacterial resistance and the cost of affecting demand: The case of UK antibiotics," International Journal of Industrial Organization, Elsevier, vol. 95(C).
    4. Dubois, Pierre & Gökkoca, Gökçe, 2023. "Antibiotic Demand in the Presence of Antimicrobial Resistance," CEPR Discussion Papers 18358, C.E.P.R. Discussion Papers.
    5. Shan Huang & Hannes Ullrich, 2023. "Provider effects in antibiotic prescribing: Evidence from physician exits," Berlin School of Economics Discussion Papers 0018, Berlin School of Economics.

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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