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Modelling Structural Zeros in Compositional Data

Author

Listed:
  • Michail Tsagris

Abstract

Inspired by Butler and Glasbey (2008) we propose a model that treats the zero values for compositional data in a different manner.

Suggested Citation

  • Michail Tsagris, 2018. "Modelling Structural Zeros in Compositional Data," Working Papers 1803, University of Crete, Department of Economics.
    • Handle: RePEc:crt:wpaper:1803
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    File URL: https://economics.soc.uoc.gr/wpa/docs/1803.pdf
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    References listed on IDEAS

    as
    1. J. L. Scealy & A. H. Welsh, 2011. "Regression for compositional data by using distributions defined on the hypersphere," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(3), pages 351-375, June.
    2. Adam Butler & Chris Glasbey, 2008. "A latent Gaussian model for compositional data with zeros," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(5), pages 505-520, December.
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    Cited by:

    1. Charlotte Fabri & Michail Tsagris & Michele Moretti & Steven Van Passel, 2024. "Adaptation to climate change: The irrigation technology mix of Italian farmers," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 781-802, June.

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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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