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The demand for (fake?) fertilizer: Using an experimental auction to examine the role of beliefs on agricultural input demand in Tanzania

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  • Norton, Benjamin P.
  • Hoel, Jessica B.
  • Michelson, Hope

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  • Norton, Benjamin P. & Hoel, Jessica B. & Michelson, Hope, 2020. "The demand for (fake?) fertilizer: Using an experimental auction to examine the role of beliefs on agricultural input demand in Tanzania," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304444, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea20:304444
    DOI: 10.22004/ag.econ.304444
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    References listed on IDEAS

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    1. Joshua Schwartzstein, 2014. "Selective Attention And Learning," Journal of the European Economic Association, European Economic Association, vol. 12(6), pages 1423-1452, December.
    2. Esther Duflo & Michael Kremer & Jonathan Robinson, 2008. "How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya," American Economic Review, American Economic Association, vol. 98(2), pages 482-488, May.
    3. von Thadden, Ernst-Ludwig, 1992. "Optimal pricing against a simple learning rule," Games and Economic Behavior, Elsevier, vol. 4(4), pages 627-649, October.
    4. Gars, Jared & Ward, Patrick S., 2019. "Can differences in individual learning explain patterns of technology adoption? Evidence on heterogeneous learning patterns and hybrid rice adoption in Bihar, India," World Development, Elsevier, vol. 115(C), pages 178-189.
    5. Lori Beaman & Dean Karlan & Bram Thuysbaert & Christopher Udry, 2013. "Profitability of Fertilizer: Experimental Evidence from Female Rice Farmers in Mali," American Economic Review, American Economic Association, vol. 103(3), pages 381-386, May.
    6. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    7. Elabed, Ghada & Carter, Michael R., 2015. "Compound-risk aversion, ambiguity and the willingness to pay for microinsurance," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 150-166.
    8. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    9. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    10. Achyuta Adhvaryu, 2014. "Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1331-1365.
    11. Tessa Bold & Kayuki C. Kaizzi & Jakob Svensson & David Yanagizawa-Drott, 2017. "Lemon Technologies and Adoption: Measurement, Theory and Evidence from Agricultural Markets in Uganda," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1055-1100.
    12. Michele Piccione & Ariel Rubinstein, 2003. "Modeling the Economic Interaction of Agents With Diverse Abilities to Recognize Equilibrium Patterns," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 212-223, March.
    13. 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.
    14. Patrick S. Ward & Vartika Singh, 2015. "Using Field Experiments to Elicit Risk and Ambiguity Preferences: Behavioural Factors and the Adoption of New Agricultural Technologies in Rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 707-724, June.
    15. Brian Dillon, 2012. "Using mobile phones to collect panel data in developing countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 24(4), pages 518-527, May.
    16. Besley, T. & Case, A., 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Papers 174, Princeton, Woodrow Wilson School - Development Studies.
    17. Rema Hanna & Sendhil Mullainathan & Joshua Schwartzstein, 2014. "Learning Through Noticing: Theory and Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1311-1353.
    18. Leland, Hayne E, 1979. "Quacks, Lemons, and Licensing: A Theory of Minimum Quality Standards," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1328-1346, December.
    19. Takahashi, Kazushi & Mano, Yukichi & Otsuka, Keijiro, 2019. "Learning from experts and peer farmers about rice production: Experimental evidence from Cote d’Ivoire," World Development, Elsevier, vol. 122(C), pages 157-169.
    20. repec:bla:devpol:v:27:y:2009:i:1:p:87-106 is not listed on IDEAS
    21. Annemie Maertens, 2017. "Who Cares What Others Think (or Do)? Social Learning and Social Pressures in Cotton Farming in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 988-1007.
    22. Ross, Nicholas & Santos, Paulo & Capon, Timothy, 2012. "Risk, ambiguity and the adoption of new technologies: experimental evidence from a developing economy," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126492, International Association of Agricultural Economists.
    23. Engle Warnick James C. & Escobal Javier & Laszlo Sonia C., 2011. "Ambiguity Aversion and Portfolio Choice in Small-Scale Peruvian Farming," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-56, November.
    24. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    25. Gharad Bryan, 2019. "Ambiguity Aversion Decreases the Impact of Partial Insurance: Evidence from African Farmers," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1428-1469.
    26. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    27. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    28. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    29. Lybbert, Travis J. & Barrett, Christopher B. & McPeak, John G. & Luseno, Winnie K., 2007. "Bayesian Herders: Updating of Rainfall Beliefs in Response to External Forecasts," World Development, Elsevier, vol. 35(3), pages 480-497, March.
    30. repec:pri:rpdevs:besley_case_diffusion.pdf is not listed on IDEAS
    31. Ruth Vargas Hill, 2009. "Using Stated Preferences and Beliefs to Identify the Impact of Risk on Poor Households," Journal of Development Studies, Taylor & Francis Journals, vol. 45(2), pages 151-171.
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    Cited by:

    1. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.

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