Crop Responses to Climate and Weather: Cross-Section and Panel Models

  • Wolfram SchlenkerEmail author
Part of the Advances in Global Change Research book series (AGLO, volume 37)


Crop choices vary by climate, e.g., Florida specializes in citrus crops while Iowa specializes in corn and soybeans. The advantage of a cross-sectional analysis is that it incorporates how farmers adapt to existing difference in average climate conditions across space. A potential downfall is omitted variable bias. A panel analysis can overcome omitted variable bias by including fixed effects to capture all additive time-invariant influences, yet does not account for the same set of adaptation possibilities.


Variable Bias Panel Model Corn Yield Panel Analysis Average Weather 
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  1. Deschênes O, Greenstone M (2007) The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather. Am Econ Rev 97(1):354–385CrossRefGoogle Scholar
  2. Fisher AC, Hanemamn WM, Roberts MJ, Schlenker W (2009) Agriculture and Climate Change Revisited. CUDARE Working Paper 1080Google Scholar
  3. Maddala GS (1986) Limited-dependent and qualitative variables in econometrics. Cambridge University Press, UKGoogle Scholar
  4. Mendelsohn R, Nordhaus WD, Shaw D (1994) The impact of global warming on agriculture: a ricardian analysis. Am Econ Rev 84(4):743–771Google Scholar
  5. Schlenker W, Roberts M (2008) Estimating the Impact of Climate Change on Crop Yields: The Importance of Non-linear Temperature Effects. NBER Working Paper 13799Google Scholar
  6. Schlenker W, Hanemann WM, Fisher AC (2005) Will US agriculture really benefit from global warming? Accounting for irrigation in the Hedonic approach. Am Econ Rev 95(1):395–406CrossRefGoogle Scholar
  7. Schlenker W, Hanemann WM, Fisher AC (2006) The impact of global warming on US agriculture: an Econometric analysis of optimal growing conditions. Rev Econ Stat 88(1):113–125CrossRefGoogle Scholar
  8. Seo SN, Mendelsohn R (2007) A Ricardian analysis of the impact of climate change on Latin American farms. World Bank Policy Research Working Paper 4163Google Scholar
  9. Seo SN, Mendelsohn R (2008) An analysis of crop choice: adapting to climate change in South American farms. Ecol Econ 67(1):109–116CrossRefGoogle Scholar
  10. Seo SN, Mendelsohn R, Dinar A, Hassan R, Kurukulasuriya P (2008) A Ricardian analysis of the distribution of climate change impacts on agriculture across agro-ecological zones in Africa. World Bank Policy Research Working Paper 4599Google Scholar
  11. Wooldridge JM (2001) Econometric analysis of cross section and panel data. MIT Press Cambridge, MassGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.New YorkUSA

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