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Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms

Abstract : Our objective is to extend the latent class stochastic frontier (LCSFM) model to compute productivity change, using the robust transitive productivity Fare-Primont index. The application is to three types of grazing livestock farms in France over the period 2002-2016. The LCSFM identified two classes of farms, intensive farms and extensive farms. Results indicate that productivity change and its components show only small differences between the LCSFM and the pooled model that does not account for heterogeneity. Differences across classes exist, but depend on farm type.
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https://hal.inrae.fr/hal-03280138
Contributor : Murielle Kalk <>
Submitted on : Wednesday, July 7, 2021 - 10:09:10 AM
Last modification on : Saturday, July 17, 2021 - 3:34:40 AM

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Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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K Hervé Dakpo, Laure Latruffe, Yann Desjeux, Philippe Jeanneaux. Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms. Journal of Agricultural Economics, Wiley, In press, ⟨10.1111/1477-9552.12422⟩. ⟨hal-03280138⟩

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