Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield.

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Title: Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield.
Authors: Keane, Michael1 (AUTHOR) m.keane@unsw.edu.au, Neal, Timothy1 (AUTHOR) timothy.neal@unsw.edu.au
Source: Econometrics Journal. Sep2020, Vol. 23 Issue 3, pS59-S80. 22p.
Database: Business Source Ultimate
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  Data: Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield.
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  Data: <searchLink fieldCode="JN" term="%22Econometrics+Journal%22">Econometrics Journal</searchLink>. Sep2020, Vol. 23 Issue 3, pS59-S80. 22p.
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      – Type: doi
        Value: 10.1093/ectj/utaa012
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: S59
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      – TitleFull: Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield.
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            NameFull: Keane, Michael
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            NameFull: Neal, Timothy
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              Text: Sep2020
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              Y: 2020
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