Replication data for: Adaptation to Climate Change: Evidence from US Agriculture
Principal Investigator(s): View help for Principal Investigator(s) Marshall Burke; Kyle Emerick
Version: View help for Version V1
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replication | 10/26/2021 09:51:AM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/12/2019 10:25:PM |
Project Citation:
Burke, Marshall, and Emerick, Kyle. Replication data for: Adaptation to Climate Change: Evidence from US Agriculture. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-13. https://doi.org/10.3886/E114567V1
Project Description
Summary:
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Understanding the potential impacts of climate change on economic outcomes requires knowing how agents might adapt to a changing climate. We exploit large variation in recent temperature and precipitation trends to identify adaptation to climate change in US agriculture, and use this information to generate new estimates of the potential impact of future climate change on agricultural outcomes. Longer run adaptations appear to have mitigated less than half--and more likely none--of the large negative short-run impacts of extreme heat on productivity. Limited recent adaptation implies substantial losses under future climate change in the absence of countervailing investments.
Scope of Project
Subject Terms:
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Climate Adaptation
JEL Classification:
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Q11 Agriculture: Aggregate Supply and Demand Analysis; Prices
Q15 Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
Q51 Valuation of Environmental Effects
Q54 Climate; Natural Disasters and Their Management; Global Warming
Q11 Agriculture: Aggregate Supply and Demand Analysis; Prices
Q15 Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
Q51 Valuation of Environmental Effects
Q54 Climate; Natural Disasters and Their Management; Global Warming
Geographic Coverage:
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United States
Time Period(s):
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1/1/1980 – 1/1/2000
Universe:
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United States Farms
Data Type(s):
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administrative records data
Methodology
Data Source:
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United States Department of Agriculture National Agricultural Statistics Service
Unit(s) of Observation:
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U.S. Counties,
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