Supply Disruptions Index (SDI): Data and Methodology

20 Pages Posted: 9 May 2023 Last revised: 10 May 2023

See all articles by Ernest Liu

Ernest Liu

Princeton University

Vladimir Smirnyagin

Yale University

Aleh Tsyvinski

Yale University - Cowles Foundation; Yale University

Date Written: April 25, 2023

Abstract

We construct an index of US supply disruptions (US SDI, www.disruptions.supply) based on 200 million import transactions for the US spanning the last decade. Our aggregate index reveals that although there has been a notable improvement in US supply disruptions in 2022, these disruptions continue to remain higher than historical averages. Importantly, the data emphasize a substantial variation in the extent and duration of supply disruptions across different product categories, countries of origin, and regions within the US.

Suggested Citation

Liu, Ernest and Smirnyagin, Vladimir and Tsyvinski, Aleh and Tsyvinski, Aleh, Supply Disruptions Index (SDI): Data and Methodology (April 25, 2023). Available at SSRN: https://ssrn.com/abstract=4430231 or http://dx.doi.org/10.2139/ssrn.4430231

Ernest Liu

Princeton University ( email )

Joseph Henry House
Princeton, NJ 08542
United States

Vladimir Smirnyagin (Contact Author)

Yale University ( email )

New Haven, CT
United States

Aleh Tsyvinski

Yale University - Cowles Foundation ( email )

28 Hillhouse Ave
New Haven, CT 06520-8268
United States
203-432-9163 (Phone)

Yale University ( email )

493 College St
New Haven, CT CT 06520
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
235
Abstract Views
554
Rank
238,708
PlumX Metrics