Agricultural land price through the focus of NSI, Eurostat, BAALO data
Mihaela Mihailova
, Stefan Asenov
, Stefan AsenovAbstract: Land prices are integral for a variety of stakeholders, ranging from urban planners to real estate investors. Land prices play a pivotal role in economic theory, influencing a myriad of decisions from urban planning to investment strategies. The tree datasets
we are focusing on are from separate sources present information on a land prices in Bulgaria, it becomes essential to determine their consistency. Linear regression serves as a powerful tool to achieve this and a second method of MANOVA is applied to understand the tree datasets. The aim of this study is to prove the reliability of the information on the agricultural resource.
we are focusing on are from separate sources present information on a land prices in Bulgaria, it becomes essential to determine their consistency. Linear regression serves as a powerful tool to achieve this and a second method of MANOVA is applied to understand the tree datasets. The aim of this study is to prove the reliability of the information on the agricultural resource.
Keywords: land price; linear regression; MANOVA
Citation: Mihailova, M. & Asenov, S. (2023). Agricultural land price through the focus of NSI, Eurostat, BAALO data. Bulg. J. Agric. Sci., 29 (Supplement 1), 39–48.
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Date published: 2023-12-20
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