We study whether tweets about racial justice predict the offline behaviors of nearly 20,000 US academics. In an audit study, academics that tweet about racial justice discriminate more in favor of minority students than academics that do not tweet about racial justice. Racial justice tweets are...

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...

We analyze a repeated principal-agent setting in which the principal cares about the agent's verifiable effort as well as an extra profit that can be generated only if the agent is talented. The agent is overconfident about his talent and updates beliefs using Bayes' rule. An exploitation...

Using an overlapping generations model, two new indicators of public pension system sustainability are proposed: the pension space, which measures the capacity to pay for pension expenditures out of labour taxation, and the pension space exhaustion probability reflecting demographic...

We examine the incentives and implications of supplier encroachment, when final good produc-tion requires the use of multiple complementary inputs and the entry of a supplier into the final good market gives rise to mutual outsourcing of inputs between the encroaching supplier and the incumbent....

This paper examines the pass-through of cost-push shocks to customers at a granular level. Using unique firm-level survey data, we document five facts about pass-through across firms, sectors, and over time. We highlight a new channel relevant for pass-through: beliefs about the expected...

This paper analyses an electricity market in which a monopolist that employs fossil-fuel base-load and peak-load technologies competes against a fringe of renewable energy (RE) generators. The optimal technology and electricity mix can be decentralised by levying technology-dependent capacity...

This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...

This project analyzes how a principal can motivate an agent to conserve rather than exploit a depletable resource. This dynamic problem is relevant for tropical deforestation as well as for other environmental problems. It is shown that the smaller is the agent's discount factor (e.g., because...

We estimate a dynamic model of individual labour market careers (turnover and search, wage development) on Portuguese panel data of graduates from vocational and general secondary education. We find that vocational graduates benefit more from the internal labour market than from the external...