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Author:Monken, Anderson 

Working Paper
Artificial Intelligence Methods for Evaluating Global Trade Flows

International trade policies remain in the spotlight given the recent rethink on the benefits of globalization by major economies. Since trade critically affects employment, production, prices and wages, understanding and predicting future patterns of trade is a high-priority for decision making within and across countries. While traditional economic models aim to be reliable predictors, we consider the possibility that Artificial Intelligence (AI) techniques allow for better predictions and associations to inform policy decisions. Moreover, we outline contextual AI methods to decipher trade ...
International Finance Discussion Papers , Paper 1296

Working Paper
Bill of Lading Data in International Trade Research with an Application to the COVID-19 Pandemic

We evaluate high-frequency bill of lading data for its suitability in international trade research. These data offer many advantages over both other publicly accessible official trade data and confidential datasets, but they also have clear drawbacks. We provide a comprehensive overview for potential researchers to understand these strengths and weaknesses as these data become more widely available. Drawing on the strengths of the data, we analyze three aspects of trade during the COVID-19 pandemic. First, we show how the high-frequency data capture features of the within-month collapse ...
Finance and Economics Discussion Series , Paper 2021-066

Discussion Paper
Effects of Supply Chain Bottlenecks on Prices using Textual Analysis

After collapsing in the second half of 2020, global demand for goods, as reflected in global trade, has been exceptionally strong and now well exceeds pre-pandemic levels. The sharp bounceback reflects several factors, including an unprecedented amount of global stimulus and the drawdown of excess savings (especially for high-income households).
FEDS Notes , Paper 2021-12-03-2


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