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A three-way dynamic panel threshold regression model for change point detection in bioimpedance data

Author

Listed:
  • F. Marta L. Di Lascio

    (Faculty of Economics and Management, Free University of Bozen-Bolzano, Italy)

  • Selene Perazzini

    (AXES Research Unit, IMT School for Advanced Studies Lucca, Italy)

Abstract
Bioimpedance refers to the measurement of the electrical impedance of biological tissue and it can be used to monitor its physio-chemical changes with important implications in a wide range of applications, including bioengineering and medical diagnostics. Recently bioimpedance analysis is gaining popularity in the food industry due to its ability to provide accurate and timely information about food quality, thereby reducing waste and improving product quality. Motivated by an original experiment on fruit bioimpedance, we develop a three-way panel dynamic threshold model and propose it as a method to detect the change point, i.e. fruit ripening time. We develop an estimation method based on the generalized method of moments and the instrumental variables estimator, and define a criterion to compute the change point. The performance of the proposed model is investigated through an extensive Monte Carlo simulation study in terms of the accuracy of both coefficients’ and thresholds’ estimates and the change point detected. The developed method is applied to an innovative fruit bioimpedance panel data set from two different electrical impedance analyzers, a bench-top device and a portable device. The method provides significant threshold and meaningful ripeness times. The new model is implemented and available through the R package PanelTM.

Suggested Citation

  • F. Marta L. Di Lascio & Selene Perazzini, 2024. "A three-way dynamic panel threshold regression model for change point detection in bioimpedance data," BEMPS - Bozen Economics & Management Paper Series BEMPS104, Faculty of Economics and Management at the Free University of Bozen.
    • Handle: RePEc:bzn:wpaper:bemps104
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    References listed on IDEAS

    as
    1. Su, Liangjun & Jin, Sainan & Zhang, Yonghui, 2015. "Specification test for panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 186(1), pages 222-244.
    2. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    3. Lu, Xun & Su, Liangjun, 2016. "Shrinkage estimation of dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 190(1), pages 148-175.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. Laszlo Balazsi & Laszlo Matyas & Tom Wansbeek, 2018. "The estimation of multidimensional fixed effects panel data models," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 212-227, March.
    6. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    7. Degui Li & Junhui Qian & Su Liangjun, 2015. "Panel Data Models with Interactive Fixed Effects and Multiple Structural Breaks," Working Papers 12-2015, Singapore Management University, School of Economics.
    8. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    10. Bai, Jushan, 2010. "Common breaks in means and variances for panel data," Journal of Econometrics, Elsevier, vol. 157(1), pages 78-92, July.
    11. Hsiao, Cheng & Zhang, Junwei, 2015. "IV, GMM or likelihood approach to estimate dynamic panel models when either N or T or both are large," Journal of Econometrics, Elsevier, vol. 187(1), pages 312-322.
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    More about this item

    Keywords

    Bioimpedance; Change point detection; FD-IV-GMM; Three-way dynamic panel model; Threshold model.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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