Exploring the distribution of conditional quantiles estimation ranges: an application to the estimation of specific costs of production of pig in the European Union

Exploration de la distribution des intervalles d'estimation des quantiles conditionnels: une application à l'estimation des coûts spécifiques de la production porcine dans l'Union européenne

Dominique Desbois ()

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Abstract: This communication uses symbolic data analysis tools to visualize conditional quantile estimation intervals, applying it to the problem of cost allocation in agriculture. After recalling the conceptual framework of the estimation of agricultural production costs, the first part presents the empirical model, the quantile regression approach and the interval data processing techniques used as symbolic data analysis tools. The second part presents the comparative analysis of the econometric results of pig between twelve European Member States, using the principal components analysis and the hierarchical grouping of the estimation intervals, by discussing the relevance of the exploratory graphs obtained for the international comparisons.

Keywords: input-output model; agricultural production cost; interval estimates; hierarchic clustering; factor analysis; quantile regression; pig; micro-economics; Analyse microéconomique; Porc; Coût de production; Régression quantile; Production agricole (search for similar items in EconPapers)
Date: 2019-06-11
New Economics Papers: this item is included in nep-eff
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02874052v1
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Published in ASMDA 2019, The 18th Conference of the Applied Stochastic Models and Data Analysis International Society and the DEMOGRAPHICS2019 WORKSHOP, asmda international, Jun 2019, Florence, Italy

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02874052

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