Application of symbolic clustering to the estimation of agricultural production costs

Application de la classification symbolique à l’estimation des coûts de production agricoles

Dominique Desbois ()

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Abstract: This communication analyses the similarities between distributions of conditional quantile estimates, applying it to the problem of cost allocation in agriculture. The first part presents the empirical model, the quantile regression approach and the interval data clustering technique used. The second part presents the comparative analysis of the clustering results between twelve European Member States.

Keywords: estimation par intervalle; coût de production; classification symbolique; porc; Europe; quantile conditionnel (search for similar items in EconPapers)
Date: 2019-09-03
New Economics Papers: this item is included in nep-agr and nep-eff
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02735928v1
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Published in XXVI-èmes Rencontres de la Société francophone de Classification, Centre National de la Recherche Scientifique (CNRS). FRA., Sep 2019, Nancy, France. pp.147

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02735928

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