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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]

Author

Listed:
  • Dominique Desbois

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

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.

Suggested Citation

  • Dominique Desbois, 2019. "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 quantile," Post-Print hal-02736201, HAL.
    • Handle: RePEc:hal:journl:hal-02736201
    as

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