How Econometrics Can Help Us Understand the Effects …
33
Cohn AS, VanWey LK, Spera SA, Mustard JF (2016) Cropping frequency and area response to
climate variability can exceed yield response. Nature Climate Change 6(6):601
Engle, R. F., Hendry, D. F. and Richard, J.-F. (1983), ‘Exogeneity’, Econometrica: Journal of
Econometric Society pp. 277–304
Gray SB, Dermody O, Klein SP, Locke AM, Mcgrath JM, Paul RE, Rosenthal DM, Ruiz-Vera UM,
Siebers MH, Strellner R (2016) Intensifying drought eliminates the expected benefits of elevated
carbon dioxide for soybean. Nature Plants 2(9):16132
Hsiang S (2016) Climate econometrics. Annual Review of Resource Economics 8:43–75
Huang, H. and Khanna, M. (2010), ‘An econometric analysis of US crop yield and cropland acreage:
implications for the impact of climate change’, AAEA Annual Meeting pp. 25–27
Juselius K (2006) The Cointegrated VAR Model. Oxford University Press, Oxford, Methodology
and Applications
Lobell DB (2009) Crop Response to Climate: Time-Series Models. In: Lobell DB, Burke M (eds)
Climate change and food security: adapting agriculture to a warmer world. Springer Science &
Business Media
Lobell DB, Burke MB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL (2008) Prioritizing
climate change adaptation needs for food security in 2030. Science 319(5863):607–610
Long SP, Ainsworth EA, Leakey AD, Nösberger J, Ort DR (2006) Food for thought: lower-thanexpected crop yield stimulation with rising co2 concentrations. Science 312(5782):1918–1921
Lu, J., Carbone, G. J. and Gao, P. (2017), ‘Detrending crop yield data for spatial visualization of
drought impacts in the united states, 1895–2014’, Agricultural and Forest Meteorology pp. 196–
208
Magrin GO, Travasso MI, Rodríguez GR (2005) Changes in climate and crop production during
the 20th century in Argentina. Climatic Change 72(1–2):229–249
Morton DC, DeFries RS, Shimabukuro YE, Anderson LO, Arai E, del Bon Espirito-Santo F, Freitas R, Morisette J (2006) Cropland expansion changes deforestation dynamics in the southern
Brazilian Amazon. Proceedings of the National Academy of Sciences 103(39):14637–14641
Nordhaus WD (2013) The climate casino: Risk, uncertainty, and economics for a warming world.
Yale University Press
Nordhaus JP, Reinhard SJ (2016) Measuring the effects of extreme weather events on yields. Climatic
Change 12(1):69–79
Pretis, F. (2017), ‘Exogeneity in climate econometrics’
Reilly J, Schimmelpfennig D (2000) Irreversibility, uncertainty, and learning: portraits of adaptation
to long-term climate change. Climatic Change 45(1):253–278
Schlenker W, Lobell DB (2010) Robust negative impacts of climate change on African agriculture.
Environmental Research Letters 5(1):014010
Schlenker W, Roberts MJ (2009) Nonlinear temperature effects indicate severe damages to us crop
yields under climate change. Proceedings of the National Academy of Sciences 106(37):15594–
15598
Tack JB, Ubilava D (2013) The effect of El Niño Southern Oscillation on US corn production and
downside risk. Climatic Change 121(4):689–700
Tao F, Masayuki Yokozawa JL, Zhang Z (2008) Climate-crop yield relationships at provincial scales
in China and the impacts of recent climate trends. Climate Research 38(1):83–94
Thomasz, E. O., Casparri, M. T., Vilker, A. S., Rondinone, G. and Fusco, M. (2016), ‘Medición
económica de eventos climáticos extremos en el sector agrícola: el caso de la soja en Argentina’,
Revista de Investigación en Modelos Financieros 4
Welch JR, Vincent JR, Auffhammer M, Moya PF, Dobermann A, Dawe D (2010) Rice yields
in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum
temperatures. Proceedings of the National Academy of Sciences 107(33):14562–14567
Wheeler TR, Craufurd PQ, Ellis RH, Porter JR, Prasad PV (2000) Temperature variability and the
yield of annual crops. Agriculture, Ecosystems & Environment 82(1–3):159–167
33
Cohn AS, VanWey LK, Spera SA, Mustard JF (2016) Cropping frequency and area response to
climate variability can exceed yield response. Nature Climate Change 6(6):601
Engle, R. F., Hendry, D. F. and Richard, J.-F. (1983), ‘Exogeneity’, Econometrica: Journal of
Econometric Society pp. 277–304
Gray SB, Dermody O, Klein SP, Locke AM, Mcgrath JM, Paul RE, Rosenthal DM, Ruiz-Vera UM,
Siebers MH, Strellner R (2016) Intensifying drought eliminates the expected benefits of elevated
carbon dioxide for soybean. Nature Plants 2(9):16132
Hsiang S (2016) Climate econometrics. Annual Review of Resource Economics 8:43–75
Huang, H. and Khanna, M. (2010), ‘An econometric analysis of US crop yield and cropland acreage:
implications for the impact of climate change’, AAEA Annual Meeting pp. 25–27
Juselius K (2006) The Cointegrated VAR Model. Oxford University Press, Oxford, Methodology
and Applications
Lobell DB (2009) Crop Response to Climate: Time-Series Models. In: Lobell DB, Burke M (eds)
Climate change and food security: adapting agriculture to a warmer world. Springer Science &
Business Media
Lobell DB, Burke MB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL (2008) Prioritizing
climate change adaptation needs for food security in 2030. Science 319(5863):607–610
Long SP, Ainsworth EA, Leakey AD, Nösberger J, Ort DR (2006) Food for thought: lower-thanexpected crop yield stimulation with rising co2 concentrations. Science 312(5782):1918–1921
Lu, J., Carbone, G. J. and Gao, P. (2017), ‘Detrending crop yield data for spatial visualization of
drought impacts in the united states, 1895–2014’, Agricultural and Forest Meteorology pp. 196–
208
Magrin GO, Travasso MI, Rodríguez GR (2005) Changes in climate and crop production during
the 20th century in Argentina. Climatic Change 72(1–2):229–249
Morton DC, DeFries RS, Shimabukuro YE, Anderson LO, Arai E, del Bon Espirito-Santo F, Freitas R, Morisette J (2006) Cropland expansion changes deforestation dynamics in the southern
Brazilian Amazon. Proceedings of the National Academy of Sciences 103(39):14637–14641
Nordhaus WD (2013) The climate casino: Risk, uncertainty, and economics for a warming world.
Yale University Press
Nordhaus JP, Reinhard SJ (2016) Measuring the effects of extreme weather events on yields. Climatic
Change 12(1):69–79
Pretis, F. (2017), ‘Exogeneity in climate econometrics’
Reilly J, Schimmelpfennig D (2000) Irreversibility, uncertainty, and learning: portraits of adaptation
to long-term climate change. Climatic Change 45(1):253–278
Schlenker W, Lobell DB (2010) Robust negative impacts of climate change on African agriculture.
Environmental Research Letters 5(1):014010
Schlenker W, Roberts MJ (2009) Nonlinear temperature effects indicate severe damages to us crop
yields under climate change. Proceedings of the National Academy of Sciences 106(37):15594–
15598
Tack JB, Ubilava D (2013) The effect of El Niño Southern Oscillation on US corn production and
downside risk. Climatic Change 121(4):689–700
Tao F, Masayuki Yokozawa JL, Zhang Z (2008) Climate-crop yield relationships at provincial scales
in China and the impacts of recent climate trends. Climate Research 38(1):83–94
Thomasz, E. O., Casparri, M. T., Vilker, A. S., Rondinone, G. and Fusco, M. (2016), ‘Medición
económica de eventos climáticos extremos en el sector agrícola: el caso de la soja en Argentina’,
Revista de Investigación en Modelos Financieros 4
Welch JR, Vincent JR, Auffhammer M, Moya PF, Dobermann A, Dawe D (2010) Rice yields
in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum
temperatures. Proceedings of the National Academy of Sciences 107(33):14562–14567
Wheeler TR, Craufurd PQ, Ellis RH, Porter JR, Prasad PV (2000) Temperature variability and the
yield of annual crops. Agriculture, Ecosystems & Environment 82(1–3):159–167