What topic modelling can show about the development of agricultural economics: evidence from the Journal Citation Report category top journals
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- Alex McCalla & Emery Castle & Vernon Eidman, 2010. "The AAEA: Ever Growing and Changing Research Challenges," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 334-355.
- David Blandford & Martin Banse, 2021. "What's Past is Prologue: Twenty Years of EuroChoices Analysed," EuroChoices, The Agricultural Economics Society, vol. 20(1), pages 4-10, April.
- Beatrice Cherrier, 2017.
"Classifying Economics: A History of the JEL Codes,"
Journal of Economic Literature, American Economic Association, vol. 55(2), pages 545-579, June.
- Béatrice Cherrier, 2017. "Classifying Economics: A History of the JEL Codes," Post-Print halshs-02735838, HAL.
- David Zilberman, 2019. "Agricultural Economics as a Poster Child of Applied Economics: Big Data & Big Issues," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 353-364.
- Angela Ambrosino & Mario Cedrini & John B. Davis & Stefano Fiori & Marco Guerzoni & Massimiliano Nuccio, 2018. "What topic modeling could reveal about the evolution of economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(4), pages 329-348, October.
- Athey, Susan & Imbens, Guido W., 2019.
"Machine Learning Methods Economists Should Know About,"
Research Papers
3776, Stanford University, Graduate School of Business.
- Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
- Sckokai, Paolo, 2012. "Agricultural and Applied Economics: What is This?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(01), pages 1-16, April.
- Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
- Robert Evenson & Prabhu Pingali (ed.), 2007. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 3, number 1.
- Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
- Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
- B. L. Gardner & G. C. Rausser (ed.), 2001. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 1, number 2.
- Reisch, E., 2000. "Entwicklungslinien in der agrarökonomischen Forschung in Westdeutschland von 1959 bis 1999," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 36.
- Hanf, Claus-Henning, 1997. "Agricultural Economics in Europe: A Thriving Science for a Shrinking Sector?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 24(3-4), pages 565-578.
- B. L. Gardner & G. C. Rausser (ed.), 2001. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 1, number 1.
- Robert Evenson & Prabhu Pingali (ed.), 2010. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 4, number 1.
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- Marco Guerzoni & Massimiliano Nuccio & Federico Tamagni, 2022. "Discovering pre-entry knowledge complexity with patent topic modeling and the post-entry growth of Italian firms," LEM Papers Series 2022/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- David R. Harvey, 2024. "Agricultural Economics in the JAE: Some Editorial Reflections," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 3-12, February.
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Keywords
structural topic modelling; agricultural economics subfields; agricultural economics literature; text analysis;All these keywords.
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