Information provision is frequently used to motivate prosocial behavior, yet its impacts on welfare are rarely measured. I study these impacts by combining a signaling model with a series of randomized experiments on personal carbon emissions. The model generates predictions for how information provision can directly affect consumer welfare by altering the relationship between emissions and inferred altruistic type. I implement three interventions, two that provide participants with private information about their emissions and one that publicly reveals them, and measure their welfare effects with an incentive-compatible willingness to pay elicitation. The private information interventions are positive-sum in consumer welfare, whereas public recognition is negative-sum. Nevertheless, 16 to 25 percent of participants pay to avoid receiving private information. Under public recognition, relatively high emitters incur significant utility losses while relatively low emitters receive no gains. I use these estimates to compare the social efficiency of different forms of information provision on externalities.

This article extends the Imbens and Manski and Stoye confidence interval for a partially identified scalar parameter to a vector-valued parameter. The proposed method produces uniformly valid simultaneous confidence intervals for each dimension, or, equivalently, a rectangular confidence region that covers points in the identified set with a specified probability. The method applies when asymptotically normal estimates of upper and lower bounds for each dimension are available. The intervals are computationally simple and fast relative to methods based on test inversion or bootstrapped calibration, and do not suffer from the conservativity of projection-based approaches.

Valuation of non-market climate amenities is a crucial component of climate policy. Due to individuals’ direct exposure to ambient temperature, one ideal setting to study these values is outdoor recreation. In this paper, we combine millions of administrative campground reservation records with daily temperature data to study shifts in recreation value under climate change. By exploiting the timing of reservation and cancellation decisions, we estimate how individuals respond to both climate and weather. Welfare values follow an inverse U-shape for both weather and climate, with disutility from extreme cold outweighing disutility from extreme heat. Climate projections in the western United States predict net welfare gains of $1 billion per year by century’s end, but with substantial seasonal and regional heterogeneity in either gains or losses. Welfare gains depend on individuals’ ability to accurately perceive climatic changes. These findings contribute to a growing set of climate damage estimates.