Le Xu (@lexuupenn) 's Twitter Profile
Le Xu

@lexuupenn

ID: 1128803761596641286

calendar_today15-05-2019 23:26:03

3 Tweet

14 Followers

86 Following

Jesús Fernández-Villaverde (@jesusferna7026) 's Twitter Profile Photo

Excited to be lecturing next week at Oxford (#OxfordEconomics) on geoeconomics; offering an overview of the field and discussing some of my own work, from measuring geopolitical fragmentation to using machine learning to track global shipping. 📅 30 May, 1.30 pm 📍 Oxford &

Excited to be lecturing next week at Oxford (#OxfordEconomics) on geoeconomics; offering an overview of the field and discussing some of my own work, from measuring geopolitical fragmentation to using machine learning to track global shipping.

📅 30 May, 1.30 pm 
📍 Oxford &
Jesús Fernández-Villaverde (@jesusferna7026) 's Twitter Profile Photo

🚢🌍 Oil sanctions aren’t working the way you think. Russia, Iran, and Venezuela are all under sanctions. But oil keeps flowing. Why? Because of dark shipping — a vast, hidden network that sidesteps sanctions with precision and scale. On Thursday, I’ll be presenting at the NBER

🚢🌍 Oil sanctions aren’t working the way you think. Russia, Iran, and Venezuela are all under sanctions. But oil keeps flowing.

Why? Because of dark shipping — a vast, hidden network that sidesteps sanctions with precision and scale.

On Thursday, I’ll be presenting at the NBER
Jesús Fernández-Villaverde (@jesusferna7026) 's Twitter Profile Photo

Yesterday, I explained how, in “Charting the Uncharted: Oil Sanctions and Dark Shipping” (with Yiliang Li, Le Xu, and Francesco Zanetti), we used machine learning 🤖 to uncover that the dark fleet🚢transported 9.3 million metric tons of crude oil per month between 2017 and

Yesterday, I explained how, in “Charting the Uncharted: Oil Sanctions and Dark Shipping” (with <a href="/YiliangLi_/">Yiliang Li</a>, <a href="/lexuupenn/">Le Xu</a>, and <a href="/FZanettiOxford/">Francesco Zanetti</a>), we used machine learning 🤖 to uncover that the dark fleet🚢transported 9.3 million metric tons of crude oil per month between 2017 and