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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)]

Author

Listed:
  • Chtcheva, Iuliia
  • Mahmudov, Telman
  • Podzorova, Marina

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.

Suggested Citation

  • Chtcheva, Iuliia & Mahmudov, Telman & Podzorova, Marina, 2018. "Методика Классификационно-Регрессионного Анализа Районов По Показателям Сельского Хозяйства (На Примере Тульской Области) [Methods classification and regression analysis areas on indicators of agri," MPRA Paper 88657, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:88657
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    More about this item

    Keywords

    classification; regression analysis; analysis of the factors limiting agriculture; Tula region;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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