IDEAS home Printed from https://ideas.repec.org/a/aea/aejmic/v13y2021i4p23-63.html
   My bibliography  Save this article

An Empirical Dynamic Model of Trade with Consumer Accumulation

Author

Listed:
  • Paul Piveteau

Abstract

This paper develops a dynamic structural model of trade in which firms slowly accumulate consumers in foreign markets. Estimating the model using export data from individual firms and a particle Markov chain Monte Carlo estimator, the model predicts lower survival rates for new exporters and estimates low entry costs of exporting—less than half of those estimated in the absence of consumer accumulation. Using simulations and out-of-sample predictions, I show that the introduction of such frictions and the reduction in estimated entry costs allow the model to match important facts regarding the aggregate response of international trade to shocks.

Suggested Citation

  • Paul Piveteau, 2021. "An Empirical Dynamic Model of Trade with Consumer Accumulation," American Economic Journal: Microeconomics, American Economic Association, vol. 13(4), pages 23-63, November.
    • Handle: RePEc:aea:aejmic:v:13:y:2021:i:4:p:23-63
    DOI: 10.1257/mic.20190051
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20190051
    Download Restriction: no
    File URL: https://doi.org/10.3886/E120070V1
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/mic.20190051.appx
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/mic.20190051.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    File URL: https://libkey.io/10.1257/mic.20190051?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Albornoz, Facundo & Calvo Pardo, Héctor F. & Corcos, Gregory & Ornelas, Emanuel, 2023. "Sequentially exporting products across countries," Journal of International Economics, Elsevier, vol. 142(C).
    2. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    3. Vilhuber, Lars, 2023. "Reproducibility and transparency versus privacy and confidentiality: Reflections from a data editor," Journal of Econometrics, Elsevier, vol. 235(2), pages 2285-2294.
    4. James Tybout & David Jinkins & Daniel Yi Xu & Jonathan Eaton, 2016. "Two-sided Search in International Markets," 2016 Meeting Papers 973, Society for Economic Dynamics.
    5. Bernabe Lopez‐Martin, 2022. "Firm Export Dynamics And The Exchange Rate: A Quantitative Exploration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1137-1163, August.
    6. Alessandria,George & Khan,Shafaat Yar & Khederlarian,Armen & Ruhl,KimJ. & Steinberg,Joseph B., 2021. "Trade-Policy Dynamics : Evidence from 60 Years of U.S.-China Trade," Policy Research Working Paper Series 9741, The World Bank.
    7. Rigo, Davide, 2024. "The role of firm-to-firm relationships in exporter dynamics," LSE Research Online Documents on Economics 121135, London School of Economics and Political Science, LSE Library.

    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aejmic:v:13:y:2021:i:4:p:23-63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.