Knowledge that Transforms

We study the real effects of environmental activist investing. Using plant-chemical-level data, we find that targeted firms reduce their production-related emissions. Air quality improvements in the vicinity of targeted plants suggest potentially significant externalities for local economies. Reductions come from increased abatement expenditures and on-site source reduction initiatives, which negatively affect the financial performance of targeted firms. We rule out alternative explanations, including declines in production and plant closures, and provide evidence that firms respond to the specific demands of activists. Our findings suggest that environmental activism is an effective tool for long-term shareholders to address climate change risks.

We study the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month. We gather detailed survey data, administrative records, and data from a mobile phone app. The transfer caused total individual income excluding the transfers to fall by about $1,900/year relative to the control group and a 4.2 percentage point decrease in labor market participation. Participants reduced their work hours as a result of the transfers by 1-2 hours/week and participants’ partners reduced their work hours by a comparable amount. Among other categories of time use, the greatest increase generated by the transfer was in time spent on leisure. Despite asking detailed questions about amenities, we find no impact on quality of employment, and our confidence intervals can rule out even small improvements. Treated participants broadly increase expenditures, led by spending on non-durable goods and services, with smaller increases in spending on durable goods and human capital. We observe no significant effects on degree attainment, though the magnitudes of the estimated effects generally appear larger among younger participants. Measures of subjective well-being are higher among treated participants in the first year of the transfers but then revert to control group levels. Overall, our results suggest a moderate labor supply effect that does not appear offset by other productive activities.

We examine companies’ voluntary adoption of sustainability disclosure standards developed by the Sustainability Accounting Standards Board (SASB). Specifically, we study which company characteristics help explain the use of SASB standards and examine whether voluntary use is associated with sustainability-related activities and market outcomes. We find that peer behavior, sustainability-focused institutional ownership, company size, and existing sustainability reporting practices are key determinants associated with SASB adoption. Moreover, SASB adoption appears to be a highly persistent disclosure choice. It is significantly associated with better sustainability performance, such as lower sustainability violations, greenhouse gas emissions, and pollution levels, particularly when the SASB standards identify those issues as financially material for the company's industry. Finally, SASB adoption is associated with more extensive sustainability disclosure and greater price informativeness, consistent with investors getting additional firm-specific information from SASB-based reporting.

Consider a setting where N players, partitioned into K observable types, form a directed network. Agents’ preferences over the form of the network consist of an arbitrary network benefit function (e.g., agents may have preferences over their network centrality) and a private, or dyadic, component which is additively separable in own links. This latter component allows for unobserved heterogeneity in the costs of sending and receiving links across agents (respectively out- and in- degree heterogeneity) as well as homophily/heterophily across the K types of agents. In contrast, the network benefit function allows agents’ preferences over links to vary with the presence or absence of links elsewhere in the network (and hence with the link formation behavior of their peers). In the null model, which excludes the network benefit function, links form independently across dyads in the manner described by Charbonneau (2017) among others. Under the alternative, there is interdependence across linking decisions (i.e., strategic interaction). We show how to test the null with power optimized in specific directions. These alternative directions include many common models of strategic network formation (e.g., “connections” models, “structural hole” models etc.). Our random utility specification induces an exponential family structure under the null which we exploit to construct a similar test which exactly controls size (despite the the null being a composite one with many nuisance parameters). We further show how to construct locally best tests for specific alternatives without making any assumptions about equilibrium selection. To make our tests feasible, we introduce a new MCMC algorithm for simulating the null distributions of our test statistics.