This paper introduces the probabilistic formulation of continuous-time economic models: forward stochastic differential equations (SDE) govern the dynamics of backward-looking variables, and backward SDEs capture that of forward-looking variables. Deep learning streamlines the search for the...

We study the relationship between outside options and workers’ motivation to exert effort. We evaluate changes in outside options arising from age and experience cutoffs in the Austrian unemployment insurance (UI) system, and use absenteeism as a proxy for worker effort. Results indicate that...

In standard promotion tournaments, contestants are ranked based on their output or productivity. We argue that workers’ career progression may also depend on their relative rankings in dimensions a priori unrelated to their job performance, such as visibility or in-person presence. Such...

We examine the effect of inter-group fiscal competition on within-group violent conflict. Using a triple difference design, we exploit exogenous variation in the degree to which villages in sub-districts compete for public funds. We find that higher competition between villages reduces conflict...

Recycling waste from used goods can substitute for scarce raw materials and reduce resource dependence. This paper presents a model of waste collection, recycling and final goods production using raw and recycled materials. Non-recycled waste must be safely stored by landfill to avoid...

The global success of online search engines and social media is due to their free access and high level of quality. However, these features are supported by a business model that exploits personal user data to provide targeted advertising services to third parties. Does this business model...

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...

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 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...