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Models and muddles: comment on ‘Calibration of agricultural risk programming models using positive mathematical programming’

Petsakos Athanasios, Rozakis Stylianos

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URIhttp://purl.tuc.gr/dl/dias/541AA35C-9DC4-4F8F-BB20-1C683E7FCEC9-
Αναγνωριστικόhttps://doi.org/10.1111/1467-8489.12407-
Αναγνωριστικόhttps://onlinelibrary.wiley.com/doi/10.1111/1467-8489.12407-
Γλώσσαen-
Μέγεθος16 pagesen
ΤίτλοςModels and muddles: comment on ‘Calibration of agricultural risk programming models using positive mathematical programming’en
ΔημιουργόςPetsakos Athanasiosen
ΔημιουργόςRozakis Stylianosen
ΔημιουργόςΡοζακης Στυλιανοςel
ΕκδότηςWileyen
ΠερίληψηThere is an emerging strand in the agricultural economics literature which examines the calibration of risk programming models using the principles of Positive Mathematical Programming (PMP). In a recent contribution to this journal, Liu et al. (2020) compare three different PMP approaches and attempt to find the ‘most practical’ method for calibrating risk programming models to be used in policy analysis. In this article, we argue that the comparison design by Liu et al. (2020) is problematic, as it is based on inappropriate metrics and it ignores recent advancements in PMP. This word of caution intends to provide constructive criticism and aims at contributing to the use of risk programming models in policy analysis.en
ΤύποςΠαρατήρηση/Σχολιασμόςel
ΤύποςNoteen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2024-02-09-
Ημερομηνία Δημοσίευσης2022-
Θεματική ΚατηγορίαAgricultural policyen
Θεματική ΚατηγορίαMathematical programmingen
Θεματική ΚατηγορίαRisk & uncertaintyen
Βιβλιογραφική ΑναφοράA. Petsakos and S. Rozakis, “Models and muddles: comment on ‘Calibration of agricultural risk programming models using positive mathematical programming’,” Aust. J. Agric. Resour. Econ., vol. 66, no. 3, pp. 713–728, July 2022, doi: 10.1111/1467-8489.12407.en

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