Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry Subject The topic of the resource Data fitting; Income data; Lindley distribution; Maximum likelihood estimation; Slash Lindley distribution Description An account of the resource 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. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Gillariose J.; Joseph J.; Chesneau C. Source A related resource from which the described resource is derived Computational Economics Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10614-024-10799-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10614-024-10799-8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213523130&amp;doi=10.1007%2Fs10614-024-10799-8&amp;partnerID=40&amp;md5=8d67db185ece47f4af866e512a4cdd2c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213523130&amp;doi=10.1007%2fs10614-024-10799-8&amp;partnerID=40&amp;md5=8d67db185ece47f4af866e512a4cdd2c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9277099 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki District, India; Chesneau C., Department of Mathematics, LMNO, University of Caen, Caen, 14032, France