Replication data for: The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather

Name: Replication data for: The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather
Published: 2007-03-01
License: This work is licensed under an Other license created by the data depositor. Please refer to the LICENSE file, which should be located alongside the project data and documentation.
Keywords: Panel data

Principal Investigator(s): View help for Principal Investigator(s) Olivier Deschênes; Michael Greenstone

Version: View help for Version V1

Name	File Type	Size	Last Modified
DATA0.dta	application/octet-stream	1.3 MB	12/07/2019 07:27:AM
DATA1.dta	application/octet-stream	7.9 MB	12/07/2019 07:27:AM
DATA2.dta	application/octet-stream	8.2 MB	12/07/2019 07:27:AM
LICENSE.txt	text/plain	14.6 KB	12/07/2019 07:27:AM
Replication.pdf	application/pdf	11.8 KB	12/07/2019 07:27:AM
Table1.do	text/plain	2.8 KB	12/07/2019 07:27:AM
Table1.log	text/plain	19.7 KB	12/07/2019 07:27:AM
Table2.do	text/plain	2.9 KB	12/07/2019 07:27:AM
Table2.log	text/plain	19.2 KB	12/07/2019 07:27:AM
Table2_C.do	text/plain	1.7 KB	12/07/2019 07:27:AM

Project Citation:

Deschênes, Olivier, and Greenstone, Michael. Replication data for: The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather. Nashville, TN: American Economic Association [publisher], 2007. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116261V1

Project Description

Summary: This paper measures the economic impact of climate change on US agricultural land by estimating the effect of random year-to-year variation in temperature and precipitation on agricultural profits. The preferred estimates indicate that climate change will increase annual profits by $1.3 billion in 2002 dollars (2002$) or 4 percent. This estimate is robust to numerous specification checks and relatively precise, so large negative or positive effects are unlikely. We also find the hedonic approachwhich is the standard in the previous literatureto be unreliable because it produces estimates that are extremely sensitive to seemingly minor choices about control variables, sample, and weighting. (JEL L25, Q12, Q51, Q54)

Scope of Project

Subject Terms: Panel data

JEL Classification:
      L25 Firm Performance: Size, Diversification, and Scope
      Q12 Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
      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: United States

Time Period(s): 1987 – 2002 (1987, 1992, 1997, 2002)

Data Type(s): census/enumeration data; other:; observational data

Methodology

Data Source: U.S. Census of Agriculture, National Climatic Data Center

Unit(s) of Observation: County,

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V1 [2019-12-07]

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