@article{flaaen_etal_bol_2023,
author = {Flaaen, Aaron and Haberkorn, Flora and Lewis, Logan and
Monken, Anderson and Pierce, Justin and Rhodes, Rosemary and Yi,
Madeleine},
title = {Bill of lading data in international trade research with an
application to the COVID-19 pandemic},
journal = {Review of International Economics},
volume = {31},
number = {3},
pages = {1146-1172},
keywords = {bill of lading, COVID-19 trade, firm-level trade},
doi = {https://doi.org/10.1111/roie.12657},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/roie.12657},
eprint =
{https://onlinelibrary.wiley.com/doi/pdf/10.1111/roie.12657},
abstract = {Abstract We evaluate high-frequency bill of lading data
for international trade research. These data offer some advantages
over both other publicly accessible trade data and confidential
datasets, but they also have drawbacks. We analyze three aspects of
trade during the COVID-19 pandemic. First, we show how the
high-frequency data capture the within-month collapse of trade
between the United States and India that are not observable in
official monthly data. Second, we demonstrate how U.S. buyers
shifted their purchases across suppliers over time during the
recovery. And third, we show how the data can measure vessel
delivery bottlenecks in near real time.},
year = {2023}
}