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Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Esther Devilliers (), Obafemi Philippe Koutchade () and Alain Carpentier
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Esther Devilliers: BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Obafemi Philippe Koutchade: SMART - Structures et Marché Agricoles, Ressources et Territoires - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Keywords: Production Function; Heterogenous Technology; Hidden Markov model; Pesticide use (search for similar items in EconPapers)
Date: 2022-12-15
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Published in 16. Journées de recherche en sciences sociales, SFER; INRAE; CIRAD, Dec 2022, Clermont-Ferrand, France

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Related works:
Working Paper: Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach (2023)
Working Paper: Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model approach (2023) Downloads
Working Paper: Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach (2022)
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