We survey the quantitative research literature linking climate and conflict, a body of research that spans multiple academic disciplines and has roughly doubled in size in the last decade. It makes three main contributions. First, we carry out a meta-analysis - updating Hsiang et al (2013) and...

Particulate matter (PM) is a major, clinically important air pollutant. A large portion of emitted PM crosses borders, damaging health outside of its originating jurisdiction, but due in part to technical obstacles these pollutant flows remain unregulated. Proposed attribution approaches assume...

Climate change is generating demonstrable harm around the world. Political and legal efforts have sought to associate climate impacts with specific emissions, including in recent international policy discussion of Loss and Damage (L&D). However, no quantitative definition of L&D exists, nor does...

The United Nations Human Development Index (HDI) is arguably the most widely used alternative to gross domestic product for measuring national development. This is in large part due to its multidimensional nature, as it incorporates not only income, but also education and health. However, the...

We study whether the sensitivity of economic, health, and livelihood outcomes to climate extremes has declined over the last half century, consistent with adaptation. Understanding whether such adaptation is already occurring is central to anticipating future climate damages, to calibrating the...

Protecting species' habitats is the main policy tool employed across the globe to reduce biodiversity losses. These protections are hypothesized to conflict with private landowners' interests. We study the economic consequences of the most extensive and controversial piece of such environmental...

Most empirical work in economics has considered only a narrow set of measures as meaningful and useful to characterize individual behavior, a restriction justified by the difficulties in collecting a wider set. However, this approach often forces the use of strong assumptions to estimate the...

This paper presents a framework to standardize crowd-sourced computational reproductions in economics through the Social Science Reproduction Platform (SSRP). The approach address four main challenges for computational reproductions: a lack of standardization, aggregation issues, existing...

We estimate the impacts of large-scale unconditional cash transfers on child survival. One-time transfers of USD 1000 were provided to over 10,500 poor households across 653 randomized villages in Kenya. We collected census data on over 100,000 births, including on mortality and cause of death,...

Policies aimed at raising agricultural productivity have been a centerpiece in the fight against global poverty. Their impacts are often measured using field or quasi-experiments that provide strong causal identification, but may be too small-scale to capture the general equilibrium (GE) effects...