Siddhartha Bora
Personal Details
First Name: | Siddhartha |
Middle Name: | |
Last Name: | Bora |
Suffix: | |
RePEc Short-ID: | pbo1090 |
[This author has chosen not to make the email address public] | |
Affiliation
Department of Agricultural, Environmental and Development Economics
Ohio State University
Columbus, Ohio (United States)https://aede.osu.edu/
RePEc:edi:daohsus (more details at EDIRC)
Research output
Jump to: ArticlesArticles
- Kuethe, Todd H. & Bora, Siddhartha & Katchova, Ani, 2022.
"Improving ERS's Net Cash Income Forecasts using USDA Baseline Projections,"
Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(2), May.
- Kuethe, Todd H. & Bora, Siddhartha S. & Katchova, Ani, 2021. "Improving ERS's Net Cash Income Forecasts using USDA Baseline Projections," 2021 Annual Meeting, August 1-3, Austin, Texas 312646, Agricultural and Applied Economics Association.
- Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Articles
- Kuethe, Todd H. & Bora, Siddhartha & Katchova, Ani, 2022.
"Improving ERS's Net Cash Income Forecasts using USDA Baseline Projections,"
Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(2), May.
- Kuethe, Todd H. & Bora, Siddhartha S. & Katchova, Ani, 2021. "Improving ERS's Net Cash Income Forecasts using USDA Baseline Projections," 2021 Annual Meeting, August 1-3, Austin, Texas 312646, Agricultural and Applied Economics Association.
Cited by:
- Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2023. "The accuracy and informativeness of agricultural baselines," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1116-1148, August.
- Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021.
"The Rationality of USDA Forecasts under Multivariate Asymmetric Loss,"
American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
Cited by:
- Kwame Asiam Addey & William Nganje, 2023. "The role of the U.S. exchange‐rate equity market volatility on agricultural exports and forecasts," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(1), pages 25-47, March.
- Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022.
"Asymmetry and Interdependence when Evaluating U.S. Energy Information Agency Forecasts,"
MPRA Paper
114325, University Library of Munich, Germany.
- Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022. "Asymmetry and Interdependence when Evaluating U.S. Energy Information Agency Forecasts," National Institute of Economic and Social Research (NIESR) Discussion Papers 541, National Institute of Economic and Social Research.
- Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
- Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022.
"Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts,"
MPRA Paper
115559, University Library of Munich, Germany.
- Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2023. "Asymmetry and interdependence when evaluating U.S. Energy Information Administration forecasts," Energy Economics, Elsevier, vol. 121(C).
- Kexin Ding & Ani L. Katchova, 2024. "Testing the optimality of USDA's WASDE forecasts under unknown loss," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 846-865, October.
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