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Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry

Author

Listed:
  • Jiju Gillariose

    (CHRIST (Deemed to be University))

  • Joshin Joseph

    (SCAPS, Marian College Kuttikkanam)

  • Christophe Chesneau

    (University of Caen)

Abstract

This article introduces a novel probability distribution to model economic variables with high kurtosis and heavy tails showing a decreasing trend. From a mathematical viewpoint, it corresponds to the distribution of the ratio of two independent random variables, one with the modified Lindley distribution and another with the beta distribution. In some sense, it can be described as an extended three-parameter version of the Lindley distribution that has the ability to model data with high kurtosis. After presenting this distribution in more in-depth details, a comprehensive analysis is given, including its associated functions, moments, skewness, and kurtosis characteristics. Furthermore, a parametric estimation work is carried out. A simulation approach is used to validate the performance of the obtained estimates. The applicability of the proposed distribution is demonstrated by fitting real-world data into various socioeconomic scenarios.

Suggested Citation

  • Jiju Gillariose & Joshin Joseph & Christophe Chesneau, 2025. "Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 66(4), pages 3497-3516, October.
    • Handle: RePEc:kap:compec:v:66:y:2025:i:4:d:10.1007_s10614-024-10799-8
    DOI: 10.1007/s10614-024-10799-8
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    References listed on IDEAS

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