Nonlinear Effects of Weather on Corn Yields
By W. Schlenker, Michael J. Roberts. 2006
378 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Soil Science
View Paper: https://www.semanticscholar.org/paper/019983c915f0a361e31d6ed3bf2a746075aac7a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Richard G. Newell
- Brian C. Prest
- Steven Sexton
- Marshall Burke
- Carlo Fezzi
- Edward Miguel
- Ian J. Bateman
- J. Aurbacher
In Soil Science
- Marshall Burke
- David B. Lobell
- Richard G. Newell
- Brian C. Prest
- Steven Sexton
- Edward Miguel
- Ian J. Bateman
- J. Aurbacher
Citations in the corpus
- The GDP-Temperature relationship: Implications for climate change damages (2021, positive): “15BHM state conditions under which the annual aggregation of daily temperatures used in some of the microfoundations literature (e.g., Schlenker and Roberts 2006, Graff Zivin and Neidell 2014, Sudarshan et al. 2015, Stevens 2017) yields a temperature response curve that is concave, smoother, and…”
- A Ricardian analysis of the impact of climate change on agriculture in Germany (2009, background): “Our approach takes only long-term climatic variables into consideration although Schlenker and Roberts (2006) indicate that already single day events can have significant influence on yields.”
- Climate Adaptive Response Estimation: Short And Long Run Impacts Of Climate Change On Residential Electricity and Natural Gas Consumption Using Big Data (2018, neutral): “…in a way that imposes a minimal number of functional form restrictions in order to capture potentially important nonlinearities of the outcome of interest - electricity consumption - in weather (e.g., Schlenker and Roberts 2006, 2009; Deschenes and Greenstone 2011, Davis and Gertler (2015)).”
- Climate Change and Agriculture: Subsistence Farmers’ Response to Extreme Heat (2019, methodology): “25As a robustness check, we also estimate τ using an iterative regression method similar to those used by Schlenker et al. (2006). We ran 17 regressions with different DD/HDD thresholds ranging from 26°C to 42°C and compared their model fit.”
- The Realized Yield Effect of Genetically Engineered Crops: U.S. Maize and Soybean (2013, result): “The loss per degree of overheating is in the order of 30 times larger than the loss per degree decline in growing degrees, crop science, vol. 53, may–june 2013 www.crops.org 741 consistent with findings in Schlenker and Roberts (2006).”
- PERCEPTIONS AND ADAPTATIONS OF BEEKEEPERS AND HONEY HUNTERS TO CLIMATE CHANGE: THE CASE OF THE COMMUNES OF NATITINGOU AND TANGUIETA IN NORTHWEST OF BENIN (2012, positive): “Analysis of the effect of climate variables on cocoa productivity followed the statistical model in line with Torvanger et al. (2004), Schlenker et al (2006), Lobell et al.”
- Warming increases the risk of civil war in Africa (2009, background): “Nevertheless, the temperature signal is robust across datasets and is consistent with a growing body of evidence demonstrating the direct negative effects of higher temperatures on agricultural productivity and the importance of these fluctuations for economic performance (10, 11, 19).”
- Grain sorghum and corn comparisons: Yield, economic and environmental responses (2008, neutral): “…and drought stress during pollination and early grain fi ll. Numerous researchers have reported that drought or temperature stress during these stages can reduce yields (Robins and Domingo, 1953; Denmead and Shaw, 1960; Duncan et al., 1965; Musick and Dusek, 1980; Schlenker and Roberts, 2006).”
- More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields (2012, neutral): “As noted in Schlenker and Roberts (2006, 2009a), the drawback of these simulation based models is that they do not take into account the adaptive behavior of producers.”
- The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values (2013, background): “5°C and 32°C (Schlenker et al. 2006; Deschênes and Greenstone 2007, 2012; Fisher et al. 2012).”