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Climatic Change

, Volume 121, Issue 2, pp 125–128 | Cite as

It’s not just the statistical model. A comment on Seo (2013)

  • Maximilian Auffhammer
  • Wolfram Schlenker
Springboard Commentary

Abstract

A recent paper in this journal argues that the choice of statistical model is responsible for the divergence in damage estimates of climate change on US agriculture. We provide five arguments why we believe this assertion is misguided.

Keywords

Climate Change Impact Climate Sensitivity Panel Model Climate Indicator Omit Variable Bias 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Auffhammer M, Hsiang S, Schlenker W, Sobel A (2013) Global climate models: a user guide for economists. Rev Environ Econ Policy 7(2):181–198CrossRefGoogle Scholar
  2. Burke M, Emerick KM (2012) Adaptation to climate change: Evidence from US Agriculture. SSRN Working Paper. http://dx.doi.org/10.2139/ssrn.2144928
  3. Burke M, Dykema J, Lobell D, Miguel E, Satyanath S (2011) Incorporating climate uncertainty into estimates of climate change impacts. NBER Working Paper 17092Google Scholar
  4. Deschenes O, Greenstone M (2007) The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather. Am Econ Rev 97:354–385CrossRefGoogle Scholar
  5. Fisher AC, Michael Hanemann W, Roberts MJ, Schlenker W (2012) The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather: comment. Am Econ Rev 102(7):3749–3760CrossRefGoogle Scholar
  6. Massetti E, Mendelsohn R, Chonabayashi S (March 2013) How does temperature affect land values in the east of the US? Working Paper—Presented at National Bureau of Economic Research—EEE Spring Program MeetingGoogle Scholar
  7. Rosenberg NJ (2010) Climate change, agriculture, and water resources: what do we tell those that need to know? Clim Chang 100(1):113–117CrossRefGoogle Scholar
  8. Schlenker W, Roberts MJ (2009) Nonlinear temperature effects indicate severe damages to US Crop yields under climate change. Proc Natl Acad Sci 106(37):15594–15598CrossRefGoogle Scholar
  9. Schlenker W, Michael Hanemann W, Fisher AC (2006) The impact of global warming on US agriculture: an econometric analysis of optimal growing conditions. Rev Econ Stat 88(1):113–125Google Scholar
  10. Seo SN (2013) An essay on the impact of climate change on US agriculture: weather fluctuations, climatic shifts, and adaptation strategies. Clim Chang. doi: 10.1007/s10584-013-0839-8 Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Agricultural and Resource EconomicsUniversity of California at BerkeleyBerkeleyUSA
  2. 2.National Bureau of Economic ResearchCambridgeUSA
  3. 3.School of International and Public AffairsColumbia UniversityNew YorkUSA

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