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Technology adoption in a community of heterogeneous education level: Who are your good neighbors?

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  • Yusuke Ono

    ()
    (University of Tokyo)

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    Abstract

    This paper examines the role of education in technology adoption in a multi-agent finite-time dynamic game setting. It is assumed that education decreases prior variance on the best action in using a new technology in the target-input Bayesian model, experience accumulates in a community (social learning information spillover), and the experience, however, is not transferrable from one technology to another. The paper shows that, depending on the schooling distribution, the equilibrium s different dynamic patterns of technology adoption.

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    File URL: http://www.accessecon.com/pubs/EB/2006/Volume15/EB-06O30002A.pdf
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    Bibliographic Info

    Article provided by AccessEcon in its journal Economics Bulletin.

    Volume (Year): 15 (2006)
    Issue (Month): 8 ()
    Pages: 1-11

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    Handle: RePEc:ebl:ecbull:eb-06o30002

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    Related research

    Keywords: choice of technology;

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    1. Rosenzweig, Mark R, 1995. "Why Are There Returns to Schooling?," American Economic Review, American Economic Association, American Economic Association, vol. 85(2), pages 153-58, May.
    2. Jovanovic, B. & Nyarko, Y., 1996. "Learning by Doing and the Choice of Technology," Working Papers, C.V. Starr Center for Applied Economics, New York University 96-25, C.V. Starr Center for Applied Economics, New York University.
    3. Yamauchi, Futoshi, 2003. "Are experience and schooling complementary?," FCND briefs, International Food Policy Research Institute (IFPRI) 166, International Food Policy Research Institute (IFPRI).
    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, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    5. Bardhan, Pranab & Udry, Christopher, 1999. "Development Microeconomics," OUP Catalogue, Oxford University Press, Oxford University Press, number 9780198773719, October.
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