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Knowledge Exchange, Matching, and Agglomeration

  • Marcus Berliant

    (Washington University)

  • Robert R. Reed III

    (University of Iowa)

  • Ping Wang

    (Vanderbilt University)

Despite wide recognition of their significant role in explaining sustained grwoth and economic development, uncompensated knowledge spillovers have not yet been fully modeled with a microeconomic foundation. The main purpose of this paper is to illustrate the creation of knowledge as well as its consequences for agglomerative activity in a general-equilibrium search-theoretic framework. Agents, possessing differentiated types of knowledge, search for partners to exchange ideas and create new knowledge in order to improve production efficacy. When individuals' types of knowledge are too diverse, a match is less likely to generate significant innovations. We demonstrate that the extent of agglomeration has significant implications for the patterns of information flows in economies. Further, by simultaneously determining the patterns of knowledge exchange and the spatial agglomeration of an economy we identify additional channels for interaction between agglomerative activity and knowledge exchange. Finally, contrary to previous work on spatial agglomeration, our model suggests that agglomerative environments may be either under-specialized and under-populated or over-specialized and over-populated relative to the social optimum.

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Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 0261.

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Date of creation: 01 Aug 2000
Handle: RePEc:ecm:wc2000:0261
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