| Bill of lading data in international trade research with an application to the COVID‐19 pandemic A Flaaen, F Haberkorn, L Lewis, A Monken, J Pierce, R Rhodes, M Yi Review of International Economics 31 (3), 1146-1172, 2023 | 26 | 2023 |
| Graph neural networks for modeling causality in international trade A Monken, F Haberkorn, M Gopinath, L Freeman, FA Batarseh The international FLAIRS conference proceedings 34, 2021 | 15 | 2021 |
| Deepfarm: AI-driven management of farm production using explainable causality Y Wang, J Chandrasekaran, F Haberkorn, Y Dong, M Gopinath, ... 2022 IEEE 29th Annual Software Technology Conference (STC), 27-36, 2022 | 5 | 2022 |
| Effects of supply chain bottlenecks on prices using textual analysis HL Young, A Monken, F Haberkorn, E Van Leemput | 5 | 2021 |
| Assuring AI methods for economic policymaking A Monken, W Ampeh, F Haberkorn, U Krishnaswamy, FA Batarseh AI Assurance, 371-427, 2023 | 1 | 2023 |
| International Measures of Common Inflation E Nir, F Haberkorn, D Cascaldi-Garcia | 1 | 2021 |
| Global trade patterns in the wake of the 2018-2019 US-China tariff hikes F Haberkorn, T Hoang, G Lewis, C Mix, D Moore | | 2024 |
| International Measures of Common Inflation D Cascaldi-Garcia, F Haberkorn, E Nir FEDS Notes, 05-1, 2021 | | 2021 |
| Bill of Lading Data in International Trade Research with an Application to the COVID-19 Pandemic (preprint) A Flaaen, F Haberkorn, LT Lewis, A Monken, JR Pierce, R Rhodes, M Yi | | 2021 |
