Working Paper: NBER ID: w19578
Authors: Melissa Dell; Benjamin F. Jones; Benjamin A. Olken
Abstract: A rapidly growing body of research applies panel methods to examine how temperature, precipitation, and windstorms influence economic outcomes. These studies focus on changes in weather realizations over time within a given spatial area and demonstrate impacts on agricultural output, industrial output, labor productivity, energy demand, health, conflict, and economic growth among other outcomes. By harnessing exogenous variation over time within a given spatial unit, these studies help credibly identify (i) the breadth of channels linking weather and the economy, (ii) heterogeneous treatment effects across different types of locations, and (iii) non-linear effects of weather variables. This paper reviews the new literature with two purposes. First, we summarize recent work, providing a guide to its methodologies, data sets, and findings. Second, we consider applications of the new literature, including insights for the "damage function" within models that seek to assess the potential economic effects of future climate change.
Keywords: Climate Change; Economic Outcomes; Panel Data; Weather Variations
JEL Codes: Q54
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| temperature shocks (E32) | per capita income (D31) |
| higher rainfall (Q54) | economic growth (O49) |
| higher wind speeds (Q54) | economic losses (F69) |
| climate change (Q54) | agricultural productivity (Q11) |
| climate change (Q54) | labor productivity (J24) |