Trade sanctions are a common instrument of diplomatic retaliation. To guide current and future policy, we ask: What is the most cost-efficient way to impose trade sanctions against Russia? We build a quantitative model of international trade with input-output connections. Sanctioning countries...

This paper shows that Investor-State Dispute Settlements (ISDS) makes multinational firms more aggressive by increasing cost-reducing investments with the aim to enlarge the potential compensation an ISDS provision may offer. While a larger investment reduces the market distortion, it will also...

We consider a dynamic setting in which two sovereign states with overlapping ownership claims on a resource/asset first arm and then choose whether to resolve their dispute violently through war or peacefully through settlement. Both approaches depend on the states’ military capacities, but...

Are retaliatiory tariffs politically targeted and, if so, are they effective? Do countries designing a retaliation response face a trade-off between maximizing political targeting and mitigating domestic economic harm? We use the recent trade escalation between the US, China, the European Union...

We document the outbreak of a trade war after the U.S. adopted the Smoot-Hawley tariff in June 1930. U.S. trade partners initially protested the possible implementation of the sweeping tariff legislation, with many eventually choosing to retaliate by increasing their tariffs on imports from the...

We find that Republican candidates lost support in the 2018 congressional election in counties more exposed to trade retaliation, but saw no commensurate electoral gains from US tariff protection. The electoral losses were driven by retaliatory tariffs on agricultural products, and were only...

The trade war initiated by the Trump administration is the largest since the US imposed the Smoot-Hawley tariffs in the 1930s and was still raging when he left office. We analyze how the trade war impacted the 2020 US Presidential election. Our results highlight the political salience of the...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

As nations struggle to restart their economy after COVID-19 lockdowns, calls to include green investments in a pandemic-related stimulus are growing. Yet little research provides evidence of the effectiveness of a green stimulus. We begin by summarizing recent research on the effectiveness of...