Методика классификационно-регрессионного анализа районов по показателям сельского хозяйства (на примере Тульской области)

Methods classification and regression analysis areas on indicators of agriculture (on the example of Tula region)

Iuliia Chtcheva, Telman Mahmudov and Marina Podzorova

MPRA Paper from University Library of Munich, Germany

Abstract: The article offers a comprehensive approach to the analysis of agriculture at the meso level. This approach envisages implementation of two main stages: the classification of areas into several homogeneous groups and limiting the analysis of the factors determining the membership of an area to a certain class. The first stage envisages the construction of classification regression, and the second - the construction of the logit model multiple choice. This comprehensive approach increases the reliability of the analysis results, thereby contributing to strengthening the grounding of its results-based. The technique has been tested on data characterizing agriculture Tula region.

Keywords: classification; regression analysis; analysis of the factors limiting agriculture; Tula region (search for similar items in EconPapers)
JEL-codes: C15 Q1 (search for similar items in EconPapers)
Date: 2018-08-25
New Economics Papers: this item is included in nep-tra
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:88657

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