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...

Using field and laboratory experiments, we demonstrate that the complexity of incentive schemes and worker bounded rationality can affect effort provision, by shrouding attributes of the incentives. In our setting, complexity leads workers to over-provide effort relative to a fully rational...

A pre-condition for employer learning is that signals at labor market entry do not fully reveal graduates' productivity. I model various distinct sources of signal imperfection-such as noise and multi-dimensional types-and characterize their implications for the private return to skill...

Using data from two representative and large-scale population surveys with more than 4000 participants, we investigate the effect of randomized priming interventions on attitudes towards immigrants. We document robust null effects of these interventions under two experimental settings, across...

Environmental managers face substantial uncertainty when deciding on management actions. To reduce this uncertainty prior to decision-making, collecting new data may help arrive at more informed decisions. Whether any resulting improvement in the decision will outweigh the cost of collecting the...

Ride-hailing applications create new challenges for governments providing transit services, but also create new opportunities to raise tax revenue. To shed light on the effect of taxing or subsidizing ride-hailing applications, we extend a pseudo-monocentric city model to include multiple...

In a world of radical uncertainty the frequency distributions of economic variables deviate from the normal distribution and typically exhibit fat tails. We show that this feature is obtained in simple models where agents have cognitive limitations and fail to understand the underlying model....