Symbolic classification methods applied to the intervals of quantile estimates of production costs

Méthodes de classification symbolique appliquées aux intervalles d’estimations quantiles des coûts de production

Dominique Desbois ()

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Abstract: This presentation uses symbolic data classification to explore the similarities between distributions of conditional quantile estimates, applying it to the problem of specific cost allocation in agriculture. After recalling the conceptual framework of agricultural production cost estimation, the first part presents the empirical model, the quantile regression approach and the interval data classification technique used. The second part presents the comparative analysis between twelve European Member States of the results of the hierarchical divisive classification of estimation intervals, applied to the estimation of fertiliser costs.

Keywords: Clustering Methods; agricultural production costs : distribution of estimates (search for similar items in EconPapers)
Date: 2022-09-14
New Economics Papers: this item is included in nep-agr and nep-eff
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Published in 27. Rencontres de la Société francophone de Classification (SFC), Société francophone de Classification (SFC), Sep 2022, Lyon, France

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