Innovative estimation practices for the analysis of regional or structural changes of scale: specific costs and gross margins

Pratiques d'estimation innovantes pour l'analyse des changements d'échelle régionaux ou structurels: coûts spécifiques et marges brutes

Dominique Desbois ()
Additional contact information
Dominique Desbois: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

Post-Print from HAL

Abstract: This chapter presents the regionalised estimation and structural analysis of specific costs and gross margins, based on the European Farm Accountancy Data Network (FADN). The steering of public policies requires the generation of central estimates of the distribution of the parameter of interest but also the lower or upper quantiles to select appropriate regulation thresholds. Taking into account individual heterogeneity and asymmetry of observations, it introduces the methodology of conditional quantile estimation, dual estimation and pseudo-barycentric imputation of partial estimates. The factorial projection into supplementary elements allows for a regional and structural analysis, through the comparative study of the results. In order to test its relevance, this procedure is applied to the analysis of specific costs and gross margins for the regions of the main producing countries in the European Union . . .

Keywords: Microeconomic analysis; agricultural production costs; quantile regression; pseudo-barycentric imputation; dual estimation; additional factor projections (search for similar items in EconPapers)
Date: 2024-10-24
References: Add references at CitEc
Citations:

Published in Marco Mingione, Maurizio Vichi, Giorgia Zaccaria,; French Statistical Society (SFdS), Italian Statistical Society (SIS), Portuguese Statistical Society (SPE), Spanish Society of Statistics and Operations Research (SEIO). High-quality and Timely Statistics New Methods and Applications, Springer Nature Switzerland, pp.111-135, 2024, Studies in Theoretical and Applied Statistics, 978-3-031-63629-5. ⟨10.1007/978-3-031-63630-1_8⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04758506

DOI: 10.1007/978-3-031-63630-1_8

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().