Insights into bioimpedance analyser via three-way dynamic panel threshold regression modelling

F. Marta L. Di Lascio and Selene Perazzini ()
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Selene Perazzini: Faculty of Economics and Management, Free University of Bozen-Bolzano, Italy

No BEMPS104, BEMPS - Bozen Economics & Management Paper Series from Faculty of Economics and Management at the Free University of Bozen

Abstract: Bioimpedance refers to the measurement of the electrical impedance of biological tissue, and it has recently gained popularity as a tool for monitoring the food ripening process. In this work, we propose a novel application of a dynamic panel threshold regression model to identify meaningful physio-chemical transitions in fruit bioimpedance time series. The method is applied to an innovative three-way panel dataset comprising fruit bioimpedance measurements collected across a range of frequencies using two types of electrical impedance analysers: a bench-top device and a state-of-the-art portable one. Separate estimation is conducted for each device using a first-differenced generalised method of moments approach with instrumental variables. The analysis offers insights into ripening dynamics by estimating thresholds and identifying change points across the frequency spectrum. In addition, it produces novel evidence regarding the performance of the portable device, supporting its practical relevance for post-harvest monitoring, processing, and optimisation within the fruit supply chain. The three-way panel model is implemented in the R package PanelTM.

Keywords: Change point detection; Electrical impedance spectroscopy; Generalized method of moments; Panel data; Threshold model. (search for similar items in EconPapers)
JEL-codes: C13 C18 C23 L66 (search for similar items in EconPapers)
Pages: [13 pages]
Date: 2024-04
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