IDEAS home Printed from https://ideas.repec.org/p/jet/dpaper/dpaper795.html
   My bibliography  Save this paper

Departure months and discrepancy in mirror trade data

Author

Listed:
  • Hayakawa, Kazunobu

Abstract

This study highlights the role of departure months of shipping and the discrepancies in mirror trade statistics. Specifically, we conjecture that trade values are recorded in different years between export and import statistics when exports leave the port of origin in the latter months of the year because exports arrive at the port of destination in the following year. To empirically examine this hypothesis, we investigate exports from Japan to the world. The study findings show that, first, the import statistics are likely missing in the export year when exports occur in November or December and, second, the probability of such missing statistics is higher when exports occur via the sea. These findings have various implications for empirical analysis in trade.

Suggested Citation

  • Hayakawa, Kazunobu, 2020. "Departure months and discrepancy in mirror trade data," IDE Discussion Papers 795, Institute of Developing Economies, Japan External Trade Organization(JETRO).
  • Handle: RePEc:jet:dpaper:dpaper795
    as

    Download full text from publisher

    File URL: https://ir.ide.go.jp/?action=repository_action_common_download&item_id=51851&item_no=1&attribute_id=22&file_no=1
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Kazunobu Hayakawa & Kohei Imai, 2022. "Who sends me face masks? Evidence for the impacts of COVID‐19 on international trade in medical goods," The World Economy, Wiley Blackwell, vol. 45(2), pages 365-385, February.
    2. Hayakawa, Kazunobu & Mukunoki, Hiroshi, 2021. "The impact of COVID-19 on international trade: Evidence from the first shock," Journal of the Japanese and International Economies, Elsevier, vol. 60(C).
    3. Iwona Markowicz & Pawel Baran, 2021. "Mirror data asymmetry in international trade by commodity group:the case of intra-Community trade," Oeconomia Copernicana, Institute of Economic Research, vol. 12(4), pages 889-905, December.

    More about this item

    Keywords

    Mirror trade data; Discrepancy; Japan; International trade;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • F53 - International Economics - - International Relations, National Security, and International Political Economy - - - International Agreements and Observance; International Organizations

    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:jet:dpaper:dpaper795. 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: Michitaka Imamitsu (email available below). General contact details of provider: https://edirc.repec.org/data/idegvjp.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.