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Social Learning, Social Influence, and Projection Bias: A Caution on Inferences Based on Proxy Reporting of Peer Behavior

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  • Heidi Hogset
  • Christopher B. Barrett

Abstract

This study explores the consequences of conflating social learning and social influence concepts and of the widespread use of proxy-reported behavioral data for accurate understanding of learning from others. Our empirical analysis suggests that proxy reporting is more accurate for new innovations, about which social learning is more plausible, than for mature technologies. Furthermore, proxy-reporting errors are correlated with respondent attributes, suggesting projection bias. Self- and proxy-reported variables generate different regression results, raising questions about inferences based on error-prone, proxy-reported peer behaviors. Self-reported peer behavior consistently exhibits statistically insignificant effects on network members' adoption behavior, suggesting an absence of social effects. (c) 2010 by The University of Chicago. All rights reserved.

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  • Heidi Hogset & Christopher B. Barrett, 2010. "Social Learning, Social Influence, and Projection Bias: A Caution on Inferences Based on Proxy Reporting of Peer Behavior," Economic Development and Cultural Change, University of Chicago Press, vol. 58(3), pages 563-589, April.
    • Handle: RePEc:ucp:ecdecc:v:58:y:2010:i:3:p:563-589
    DOI: 10.1086/650424
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    1. Jere Behrman & Hans-Peter Kohler & Susan Watkins, 2002. "Social networks and changes in contraceptive use over time: Evidence from a longitudinal study in rural Kenya," Demography, Springer;Population Association of America (PAA), vol. 39(4), pages 713-738, November.
    2. Feder, Gershon & Savastano, Sara, 2006. "The role of opinion leaders in the diffusion of new knowledge: The case of integrated pest management," World Development, Elsevier, vol. 34(7), pages 1287-1300, July.
    3. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    4. 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.
    5. 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.
    6. Michael Kremer & Edward Miguel, 2003. "Networks, social learning, and technology adoption: The case of deworming drugs in kenya," Natural Field Experiments 00312, The Field Experiments Website.
    7. Drechsel, Pay & Gyiele, Lucy & Kunze, Dagmar & Cofie, Olufunke, 2001. "Population density, soil nutrient depletion, and economic growth in sub-Saharan Africa," Ecological Economics, Elsevier, vol. 38(2), pages 251-258, August.
    8. 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.
    9. Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
    10. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
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    9. Xi Chen, 2014. "Gift-Giving and Network Structure in Rural China: Utilizing Long-Term Spontaneous Gift Records," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-14, August.
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    11. Nathalie Lazaric & Fabrice Guel & Jean Belin & Vanessa Oltra & Sébastien Lavaud & Ali Douai, 2020. "Determinants of sustainable consumption in France: the importance of social influence and environmental values," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1337-1366, November.
    12. Mbugua, M. & Nzuma, J. & Muange, E. & Njuguna, M. & Jaeckering, L., 2018. "Social Networks and Household Dietary Diversity, Evidence from Smallholder Farmers in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277341, International Association of Agricultural Economists.
    13. Muange, Elijah N. & Schwarze, Stefan & Qaim, Matin, 2014. "Social networks and farmer exposure to improved crop varieties in Tanzania," GlobalFood Discussion Papers 183635, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    14. David Sedik & Fujin Yi & Richard T. Gudaj, 2020. "Implications of Chinese Farmers in the Russian Far East," American Journal of Economics and Sociology, Wiley Blackwell, vol. 79(5), pages 1615-1622, November.
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