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

Explorer la distribution des quantiles conditionnels: une application à l'estimation de coûts de production spécifiques du porc dans l'Union européenne

Dominique Desbois ()

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Abstract: This communication uses symbolic data analysis tools to visualize the distribution of conditional quantile estimate ranges, applying them 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 the specific cost of pig production and the resulting gross margin estimates for twelve European Member States in order to discuss the relevance of the exploratory graphs obtained for international comparisons, using principal component analysis and hierarchical grouping of estimation interval distributions.

Keywords: symbolic data analysis; principal component analysis; interval data; production costs; cost allocation; quantile regression; micoeconomics; agricultural production (search for similar items in EconPapers)
Date: 2019-01-10
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Published in Workshop ADVANCES IN DATA SCIENCE FOR BIG AND COMPLEX DATA From data to classes and classes as new statistical units, Université Paris Dauphine (Paris 9). FRA., Jan 2019, Paris, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02736201

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