Climate Change and Agriculture Reconsidered

Links to articles of interest

• Working paper "Climate Change and Agriculture Reconsidered".
• Deschenes and Greenstone (2007) "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, 97(1), March 2007, p. 354-385.
• Schlenker and Roberts (2006) "Estimating the Impact of Climate Change on Crop Yields: The Importance of Non-linear Temperature Effects" SSRN Working Paper.
• Schlenker and Roberts (2006) "Nonlinear Effects of Weather on Corn Yields," Review of Agricultural Economics (Proceedings of the American Agricultural Economics Association Sessions at the 2006 Allied Social Science Associations Meeting, Boston, MA), 28(3), Fall 2006, p. 391-398.
• Schlenker, Hanemann, and Fisher (2006) "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," Review of Economics and Statistics, 88(1), February 2006, p. 113-125.
• Schlenker, Hanemann, and Fisher (2005) "Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach," American Economic Review, 95(1), March 2005, p. 395-406.

Links to data sets used in code

• DATA1.dta zipped file with data and code of Deschenes & Greenstone (2007). The file includes DATA1.dta, which is needed below.
• dataPanelNew.dta STATA panel data set with alternative weather variables.
• dataCommoditySales.dta STATA data set with county-aggregates of farm-level sales and production data.
• dataHedonic.dta STATA data set with variables from Schlenker, Hanemann, and Fisher (2006). (data appendix)

Links to code

• Section 1: dataIssues.do STATA code that outlines data concerns (requires data sets: DATA1 and dataPanelNew).
• Section 2: yieldRegression.do STATA code that compares how well various weather measures predict yields and profit (requires data sets: DATA1 and dataPanelNew).
• Section 2: yieldRegression.m MATLAB code used to construct Conley's standard errors (adjusted for spatial correlation) in a panel model (requires the following MATLAB routines: conley.m and readCSVfileIntoStruct.m).
• Section 2: weatherVariation.do STATA code that derives how much of the weather variation is absorbed by various fixed effects (requires data sets: DATA1 and dataPanelNew).
• Section 3: countyCommoditySales.do STATA code that regresses sales on value of production for various commodity crops (requires data set: dataCommoditySales.dta).
• Section 4: hedonicRobustness.do STATA code that examines the robustness of the hedonic approach (requires data sets: dataHedonic).