- Alsajri, F. A., B. Singh, C. Wijewardana, J. T. Irby, W. Gao, and K. R. Reddy (2019). Evaluating soybean cultivars for low- and high-temperature tolerance during the seedling growth stage. Agronomy 9(1).
Paper not yet in RePEc: Add citation now
Andrews, D. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica 61(4), 821–856.
Annan, F. and W. Schlenker (2015, May). Federal crop insurance and the disincentive to adapt to extreme heat. American Economic Review 105(5), 262–66.
Auffhammer, M., S. Hsiang, W. Schlenker, and A. Sobel (2013). Using weather data and climate model output in economic analyses of climate change. Review of Environmental Economics and Policy 7(2), 181–198.
Butler, E. and P. Huybers (2013, January). Adaptation of US maize to temperature variations. Nature Climate Change 3, 68–72.
Conley, T. (1999). Gmm estimation with cross sectional dependence. Journal of Econometrics 92(1), 1 – 45.
Dell, M., B. Jones, and B. Olken (2012). Temperature shocks and economic growth: Evidence from the last half century. American Economic Journal: Macroeconomics 4(3), 66–95.
Deschênes, O. and M. Greenstone (2011). Climate change, mortality, and adaptation: Evidence from annual fluctuations in weather in the us. American Economic Journal: Applied Economics 3(4), 152–185.
- Frisch, R. and F. Waugh (1933). Partial time regressions as compared with individual trends. Econometrica 1(4), 387–401.
Paper not yet in RePEc: Add citation now
Hsiao, C. (1975). Some estimation methods for a random coefficient model. Econometrica 43(2), 305–325.
- Hurwicz, L. (1950). Least squares bias in time series. In T. Koopman (Ed.), Statistical Inference in Dynamic Economic Models, pp. 365–383. New York: Wiley.
Paper not yet in RePEc: Add citation now
Keane, M. and T. Neal (2018). Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield. UNSW Research Working Paper.
- Li, M.-W., D. Xin, Y. Gao, K.-P. Li, K. Fan, N. B. Muoz, W.-S. Yung, and H.-M. Lam (2016, 09). Using genomic information to improve soybean adaptability to climate change. Journal of Experimental Botany 68(8), 1823–1834.
Paper not yet in RePEc: Add citation now
- Liang, X.-Z., Y. Wu, R. G. Chambers, D. L. Schmoldt, W. Gao, C. Liu, Y.-A. Liu, C. Sun, and J. A. Kennedy (2017). Determining climate effects on us total agricultural productivity. Proceedings of the National Academy of Sciences 114(12), E2285–E2292.
Paper not yet in RePEc: Add citation now
- Lobell, D. and M. Burke (2008). Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation. Environmental Research Letters 3(3), 1–8.
Paper not yet in RePEc: Add citation now
Lobell, D., G. Hammer, G. McLean, C. Messina, M. Roberts, and W. Schlenker (2013). The critical role of extreme heat for maize production in the united states. Nature climate change 3, 497–501.
- Lobell, D., M. Banziger, C. Magorokosho, and B. Vivek (2011). Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature climate change 1, 42–45.
Paper not yet in RePEc: Add citation now
- Lobell, D., M. Roberts, W. Schlenker, N. Braun, B. Little, R. Rejesus, and G. Hammer (2014). Greater sensitivity to drought accompanies maize yield increase in the u.s. midwest. Science 344(6183), 516–519.
Paper not yet in RePEc: Add citation now
Malcolm, S., E. Marshall, M. Aillery, P. Heisey, M. Livingston, and K. Day-Rubenstein (2012, July). Agricultural adaptation to a changing climate: Economic and environmental implications vary by u.s. region. Technical Report Economic Research Report 136, United States Department of Agriculture.
Marshall, E., M. Aillery, S. Malcolm, and R. Williams (2015, November). Climate change, water scarcity, and adaptation in the u.s. fieldcrop sector. Technical Report Economic Research Report 201, United States Department of Agriculture.
- Ortiz-Bobea, A., E. Knippenberg, and R. G. Chambers (2018). Growing climatic sensitivity of u.s. agriculture linked to technological change and regional specialization. Science Advances 4(12).
Paper not yet in RePEc: Add citation now
Pesaran, M. H. and R. Smith (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics 68, 79–113.
- Pesaran, M., R. Smith, and K. Im (1996). Dynamic linear models for heterogeneous panels. Boston: Kluwer Academic.
Paper not yet in RePEc: Add citation now
- Porter, J., L. Xie, A. Challinor, K. Cochrane, S. Howden, M. Iqbal, D. Lobell, and M. Travasso (2014). Food security and food production systems. In C. e. a. Field THE IMPACT OF CLIMATE CHANGE ON U.S. AGRICULTURE 39 (Ed.), Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, pp. pp. 485–533. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Reclamation (2013). Downscaled cmip3 and cmip5 climate projections: Release of downscaled cmip5 climate projections, comparison with preceding information, and summary of user needs. U.S. Department of the Interior, Bureau of Reclamation, Technical Service Center, Denver, Colorado, 116 p., available at: http://gdo-dcp.ucllnl.org/ downscaled_cmip_projections/techmemo/downscaled_climate.pdf.
Paper not yet in RePEc: Add citation now
- Roberts, M. and W. Schlenker (2012). Is Agricultural Production Becoming More or Less Sensitive to Extreme Heat? Evidence from U.S. Corn and Soybean Yields. University of Chicago Press.
Paper not yet in RePEc: Add citation now
- Schlenker, W. and M. Roberts (2009). Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proceedings of the National Academy of Sciences 106(37), 15594–15598.
Paper not yet in RePEc: Add citation now
Tannura, M. A., S. H. Irwin, and D. L. Good (2008, February). Weather, technology, and corn and soybean yields in the u.s. corn belt. Technical Report 01, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign.
THE IMPACT OF CLIMATE CHANGE ON U.S. AGRICULTURE 37 Burke, M. and K. Emerick (2016). Adaptation to climate change: Evidence from US agriculture. American Economic Journal: Economic Policy 8(3), 106–140.
- United Nations Population Division (2017). 2017 revision of world population prospects. Can be found online at https://esa.un.org/unpd/wpp/.
Paper not yet in RePEc: Add citation now
- Wallace, H. A. (1920). Mathematical inquiry into the effect of weather on corn yield in the eight corn belt states. Monthly Weather Review 48, 439–446.
Paper not yet in RePEc: Add citation now
- Wang, J. C., S. H. Holan, B. Nandram, W. Barboza, C. Toto, and E. Anderson (2012). A bayesian approach to estimating agricultural yield based on multiple repeated surveys. Journal of Agricultural, Biological, and Environmental Statistics 17(1), 84–106.
Paper not yet in RePEc: Add citation now