Displaying empirical distributions of conditional quantile estimates: an application of symbolic data analysis to the cost allocation problem in agriculture

Affichage des distributions empiriques de conditionnel estimations quantiles: une application de l'analyse de données symboliques au problème de l'allocation des coûts en agriculture

Dominique Desbois ()

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Abstract: This paper uses the symbolic data analysis tools in order to display and analyze the conditional quantile estimates, with an application to the cost allocation problem in agriculture. After recalling the conceptual framework of the estimation of agricultural production costs, the first part presents the empirical data model, the quantile regression approach and the interval data techniques used as symbolic data analysis tools. The second part presents the comparative analysis of the econometric results for wheat between twelve European member states, using principal component analysis and hierarchic clustering of estimates and range of estimation intervals, discussing the relevance of the displays obtained for inter-country comparisons based on specific productivity.

Keywords: cost allocation; symbolic data analysis; confidence intervals; allocation des coûts; agricultural production; micro-economics; quantile regression; analyse symbolique des données; analyse des données en intervalles (search for similar items in EconPapers)
Date: 2017-06-06
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Published in The 17th Conference of the Applied Stochastic Models and Data Analysis International Society and DEMOGRAPHICS2017 WORKSHOP, ASMDA., Jun 2017, London, United Kingdom. 1148 p

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