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A Search and Learning Model of Export Dynamics
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A Search and Learning Model of Export Dynamics

Author

Listed:
  • Marcela Eslava

    (Universidad de Los Andes)

  • James Tybout

    (Pennsylvania State University)

  • David Jinkins

    (Copenhagen Business School)

  • C. Krizan

    (U.S. Bureau of the Census)

  • Jonathan Eaton

    (Brown University)

Abstract

Customs record data reveal a number of patterns in relationships Colombian firms have with their U.S. buyers. We interpret these patterns in terms of a continuous-time model in which heterogeneous sellers search for buyers in a market. Success in selling to a buyer reveals information to the seller about the appeal of her product in the market, affecting her incentive to search for more buyers. Fit using the method of simulated moments, the model replicates key patterns in the customs records and allows us quantify several types of trade costs, including the search costs of identifying potential clients and the costs of maintaining business relationships with existing clients. It also allows us to estimate the effect of previous exporting activity on the costs of meeting new clients, and to characterize the cumulative effects of learning on firms' search intensities. Finally, we use our fitted model to explore the effects of these trade costs and learning effects on aggregate export dynamics

Suggested Citation

  • Marcela Eslava & James Tybout & David Jinkins & C. Krizan & Jonathan Eaton, 2015. "A Search and Learning Model of Export Dynamics," 2015 Meeting Papers 1535, Society for Economic Dynamics.
    • Handle: RePEc:red:sed015:1535
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    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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