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type_genre:"Amtsdruckschrift"
~person:"Ifft, Jennifer"
~type_genre:"Aufsatz in Zeitschrift"
~type_genre:"Working Paper"
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Agrarstatistik
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Agricultural statistics
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Agrarkredit
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Agricultural Resource Management Survey
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Agricultural credit
2
Agrarboden
1
Agrareinkommen
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Agrarversicherung
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Agricultural finance
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Agricultural insurance
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Agricultural real estate
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Agricultural soil
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Agriculture
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Artificial intelligence
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Crop insurance
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Farm debt
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Farm income
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Farmland values
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Forecasting model
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June Agricultural Survey
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Künstliche Intelligenz
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Landwirtschaft
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Landwirtschaftliche Immobilien
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credit demand
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farm debt
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Ifft, Jennifer
Sokolin, V. L.
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Carletto, Calogero
8
Knapek, George M.
7
Outlaw, Joe L.
7
Raulston, J. Marc
7
Richardson, James W.
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Wanke, Henryka
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Laczka, Éva
5
Benoit, Jacques
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Csorba, László
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Forstner, Bernhard
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Kecskés, Csaba
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Kuethe, Todd
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Mateńko, Krzysztof
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Morehart, Mitchell J.
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Kursa, Liliana
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Tortora, Robert D.
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Banerjee, Raka
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Beegle, Kathleen
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Blumöhr, Torsten
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Brümmer, Bernhard
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Deininger, Klaus W.
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Derjugina, I. V.
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Feldmann, Paul
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Fisher, Monica Grace
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Fumasi, Roland J.
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Griepenkerl, Werner
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Kolčin, Sergej V.
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Kudabaev, Zarylbek I.
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Working papers / Cornell University, Charles H. Dyson School of Applied Economics and Management
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ECONIS (ZBW)
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The compatibility of farmland sales and opinion survey data
Bigelow, Daniel P.
;
Ifft, Jennifer
;
Kuethe, Todd
-
2018
Persistent link: https://www.econbiz.de/10011903415
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2
Can machine learning improve prediction? : an application with farm survey data
Ifft, Jennifer
;
Kuhns, Ryan
;
Patrick, Kevin
-
2017
Persistent link: https://www.econbiz.de/10011803943
Saved in:
3
Does federal crop insurance lead to higher farm debt use? : evidence from the agricultural resource management survey
Ifft, Jennifer
;
Kuethe, Todd
;
Morehart, Mitchell J.
-
2015
Persistent link: https://www.econbiz.de/10010506357
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