Deployment subsidies for nascent technologies have moved to the forefront of climate action, industrial policy, and geoeconomics. To limit the substantial fiscal costs of such programs, policymakers routinely employ subsidy schedules that are nonlinear in the quantity agents deploy. However,...

Directed acyclic graphs (DAGs) provide a transparent framework for encoding causal structures and identifying causal effects. This paper demonstrates how DAGs help specify local projections (LPs) for estimating causal impulse responses. Examples illustrate how graphical rules can be used to...

While research has highlighted the benefits of variability in leader behavior to help deal with different demands, erratic variability in behavior might be problematic. Preliminary research suggests that when leader behavior seems to vary unpredictably, followers can perceive it as inconsistent,...

We present a micro-founded monetary model of the world economy to study international currency competition. Our model features "unipolar" equilibria, with a single dominant international currency, and "multipolar" equilibria, in which multiple currencies circulate internationally. Long-run...

This chapter takes stock of what has been learned from the recent micro-development literature about wedges - mechanisms generating dispersion in marginal revenue products of factors across firms, which are commonly interpreted as indicators of misallocation. We present a general theoretical...

This study proposes a novel attention-based deep neural network (AttDNN) model specifically designed for predicting mergers and acquisitions (M&A). The model extends existing deep learning frameworks by incorporating M&A-specific features, regularization layers, and an attention mechanism that...