It’s not just the statistical model. A comment on Seo (2013)
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. Copyright Springer Science+Business Media Dordrecht 2013
Volume (Year): 121 (2013)
Issue (Month): 2 (November)
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- Marshall Burke & John Dykema & David Lobell & Edward Miguel & Shanker Satyanath, 2011. "Incorporating Climate Uncertainty into Estimates of Climate Change Impacts, with Applications to U.S. and African Agriculture," NBER Working Papers 17092, National Bureau of Economic Research, Inc.
- Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
- Anthony C. Fisher & W. Michael Hanemann & Michael J. Roberts & Wolfram Schlenker, 2012. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment," American Economic Review, American Economic Association, vol. 102(7), pages 3749-60, December.
- S. Seo, 2013. "An essay on the impact of climate change on US agriculture: weather fluctuations, climatic shifts, and adaptation strategies," Climatic Change, Springer, vol. 121(2), pages 115-124, November.
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