Abstract
Akhundjanov and Toda (Empir Econ 59:2071–2091, 2020) analyzed 24 data sets in as reported by Gibrat (Les Inégalités Économiques, Librairie du Recueil Sirey, Paris, 1931), showing among others that 17 of the data sets can be best modeled by the Pareto-lognormal distribution due to Reed and Jorgensen (Commun Stat Theory Methods 33:1733–1753, 2004). Here, we reanalyze the same data sets and show that a new distribution exhibiting polynomial tails can provide even better fits. The assessment of better fits is based on two information criteria and likelihood ratio tests.
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The authors would like to thank the Editor and the two referees for careful reading and comments which greatly improved the paper.
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Nadarajah, S., Afuecheta, E. Better models for Gibrat’s data. Empir Econ 62, 2057–2067 (2022). https://doi.org/10.1007/s00181-021-02081-9
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DOI: https://doi.org/10.1007/s00181-021-02081-9