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Discussion Paper
Global trade patterns in the wake of the 2018-2019 U.S.-China tariff hikes
In 2018, the U.S. government announced bilateral tariff increases on a number of Chinese goods. Thus began a tit-for-tat exchange of increasing bilateral tariffs between the U.S. and China until, by the end of 2019, most of the goods traded between the U.S. and China were subject to additional tariffs. In this note, we use Census and UN Comtrade data to study the effects of the 2018-19 U.S.-China tariff hikes on global trade patterns.
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 ...
Discussion Paper
International Measures of Common Inflation
A key challenge for monetary policymakers in achieving their inflation goals—particularly important at the current juncture—is to be able to distinguish between persistent inflationary changes and short-term idiosyncratic shocks. The most common approach for filtering out short-term price shocks from inflation is to focus on measures of "core" inflation, traditionally defined as the change in the consumer price index (CPI) excluding food and energy prices.
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).
Working Paper
Do Anecdotes Matter? Exploring the Beige Book through Textual Analysis from 1970 to 2025
We apply various natural language processing tools to see if the Beige Book is helpful in understanding economic activity. The Beige Book is a gathering of anecdotal compilations of current economic conditions from each Federal Reserve Bank, which is released to the public prior to FOMC meetings. We find that even controlling for lagged GDP growth and other metrics, the Beige Book sentiment provides meaningful explanatory power in nowcasting GDP growth and forecasting recessions, even more so than the yield spread or other news sentiment measures. The results on economic activity even hold in ...
Working Paper
LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora
Large Language Models (LLMs) are highly accurate in classification tasks, however, substantial computational and financial costs hinder their large-scale deployment in dynamic environments. Knowledge Distillation (KD) where a LLM ""teacher"" trains a smaller and more efficient ""student"" model, offers a promising solution to this problem. However, the distillation process itself often remains costly for large datasets, since it requires the teacher to label a vast number of samples while incurring significant token consumption. To alleviate this challenge, in this work we explore the ...