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

Exploration de la distribution des estimations de quantiles conditionnels: une application aux 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 divisive hierarchical clustering of the estimation intervals, by discussing the relevance of the exploratory graphs obtained for the international comparisons.

Keywords: factor analysis; hierarchic clustering; estimate intervals; quantile regression; input-output model; symbolic data analysis; agricultural production cost; pig; microeconomics (search for similar items in EconPapers)
Date: 2021-03
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Published in Yannis Dimotikalis; Alex Karagrigoriou; Christina Parpoula; Christos H. Skiadas. Applied Modeling Techniques and Data Analysis, Computational Data Analysis Methods and Tools, Applied Modeling Techniques and Data Analysis 1 Computational Data Analysis Methods and Tools (Vol 1), ISTE; Wiley, 2021, Big Data, Artificial Intelligence and Data Analysis SET, Volume 7, 9781786306739. ⟨10.1002/9781119821588.ch8⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03155023

DOI: 10.1002/9781119821588.ch8

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