 Models and muddles: comment on ‘Calibration of agricultural risk programming models using positive mathematical programming’Athanasios Petsakos and Stelios Rozakis Australian Journal of Agricultural and Resource Economics, 2022, vol. 66, issue 3, 713-728 Abstract: There 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. Date: 2022 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:ajarec:v:66:y:2022:i:3:p:713-728 Ordering information: This journal article can be ordered from Access Statistics for this article Australian Journal of Agricultural and Resource Economics is currently edited by John Rolfe, Lin Crase and John Tisdell More articles in Australian Journal of Agricultural and Resource Economics from Australian Agricultural and Resource Economics Society Contact information at EDIRC. |
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