We show how uncertainty shapes the asset allocation, composition, productivity, and value of capital-intensive firms. We do so using detailed, near-universal data on shipping firms' new orders, secondary-market transactions, and demolition of ships. Firms curtail both the acquisition and...

This paper specifies a general set of conditions under which the impacts of a policy can be identified using data generated under a different policy regime. We show that some of the policy impacts can be identified under relatively weak conditions on the data and structure of a model. Based on...

Against a background of projections of sharply increasing elderly dependency rates, workers in the major industrial economies are apprehensive that their social security benefit entitlements will be cut before or after they retire, leaving them with inadequate retirement income. This paper looks...

This paper presents a framework for how to incorporate prior sources of information into the design of a sequential experiment. These sources can include previous experiments, expert opinions, or the experimenter's own introspection. We formalize this problem using a multi-prior Bayesian...

Many governments have engaged in policy experimentation in various forms to resolve uncertainty and facilitate learning. However, little is understood about the characteristics of policy experimentation, and how the structure of experimentation may affect policy learning and policy outcomes. We...

We provide evidence that individuals substitute between political contributions and charitable contributions, using micro data from the American Red Cross and Federal Election Commission. First, we find that foreign natural disasters, which are positive shocks to charitable giving, crowd out...

We conduct a comparative welfare analysis of 133 historical policy changes over the past half-century in the United States, focusing on policies in social insurance, education and job training, taxes and cash transfers, and in-kind transfers. For each policy, we use existing causal estimates to...

Forthright characterization of scientific uncertainty is important in principle and serves important practical purposes. Nevertheless, economists and other researchers commonly report findings with incredible certitude, reporting point predictions and estimates. To motivate expression of...

Do political connections affect firm dynamics, innovation, and creative destruction? We study Italian firms and their workers to answer this question. Our analysis uses a brand-new dataset, spanning the period from 1993 to 2014, where we merge: (i) firm-level balance sheet data; (ii) social...