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Agricultural contracts and alternative marketing options : a matching analysis

Katchova, Ani L. - In: Journal of agricultural and applied economics 42 (2010) 2, pp. 261-276

Persistent link: https://www.econbiz.de/10009374741

Factors affecting farm credit use

Katchova, Ani L. - In: Agricultural finance review 65 (2005) 1, pp. 17-29

Persistent link: https://www.econbiz.de/10003289950

The farm diversification discount

Katchova, Ani L. - In: American journal of agricultural economics 87 (2005) 4, pp. 984-994

Persistent link: https://www.econbiz.de/10003178380

A comparison of the economic well-being of farm and nonfarm households

Katchova, Ani L. - In: American journal of agricultural economics 90 (2008) 3, pp. 733-747

Persistent link: https://www.econbiz.de/10003727912

Two-step econometric estimation of farm characteristics affecting marketing contract decisions

Katchova, Ani L.; Miranda, Mario J. - In: American journal of agricultural economics 86 (2004) 1, pp. 88-102

Persistent link: https://www.econbiz.de/10001934600

Credit score migration analysis of farm business : conditioning on business cycles and migration trends

Phillips, Jill M.; Katchova, Ani L. - In: Agricultural finance review 64 (2004) 1, pp. 1-15

Persistent link: https://www.econbiz.de/10002418880

Credit risk models and agricultural lending

Katchova, Ani L.; Barry, Peter J. - In: American journal of agricultural economics 87 (2005) 1, pp. 194-205

Persistent link: https://www.econbiz.de/10002710925

The accuracy and informativeness of agricultural baselines

Bora, Siddhartha S.; Katchova, Ani L.; Kuethe, Todd H. - In: American journal of agricultural economics 105 (2023) 4, pp. 1116-1148

Persistent link: https://www.econbiz.de/10014364346

Evaluating the OECD-FAO and USDA agricultural baseline projections

Fang, Xiaoyi; Katchova, Ani L. - In: Q open : a journal of agricultural, climate, … 3 (2023) 2, pp. 1-29

The Organization for Economic Cooperation and Development (OECD) in collaboration with the Food and Agricultural Organization (FAO), and the US Department of Agriculture (USDA) produce long-term agricultural projections for key indicators of agricultural commodities. These baseline projections...

Persistent link: https://www.econbiz.de/10014500733

Multi-step commodity forecasts using deep learning

Bora, Siddhartha S.; Katchova, Ani L. - In: Agricultural finance review 84 (2024) 4/5, pp. 269-296

Persistent link: https://www.econbiz.de/10015154626