Comparing Deep Neural Network and Econometric Approaches to Predicting the Impact of Climate Change on Agricultural Yield
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- Michael Keane & Timothy Neal, 2020. "Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield," Econometrics Journal, Royal Economic Society, vol. 23(3), pages 59-80.
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- Timothy Neal & Michael Keane, 2020. "Climate Change and U.S. Agriculture: Accounting for Multi-dimensional Slope Heterogeneity in Production Functions," Discussion Papers 2018-08a, School of Economics, The University of New South Wales.
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More about this item
Keywords
Climate Change; Crop Yield; Panel Data; Machine Learning; Neural Net;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2020-01-27 (Agricultural Economics)
- NEP-BIG-2020-01-27 (Big Data)
- NEP-CMP-2020-01-27 (Computational Economics)
- NEP-ENV-2020-01-27 (Environmental Economics)
- NEP-FOR-2020-01-27 (Forecasting)
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