Estimation in copula models with two-piece skewed margins using the inference for margins method

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Bibliographic Details
Title: Estimation in copula models with two-piece skewed margins using the inference for margins method
Authors: Jonas Baillien, Irène Gijbels, Anneleen Verhasselt
Source: Econometrics and Statistics. 34:91-108
Publisher Information: Elsevier BV, 2025.
Publication Year: 2025
Subject Terms: Science & Technology, Fisher information, Economics, Statistics & Probability, 05 social sciences, Social Sciences, Generalized method of moments, Skewed distributions, 01 natural sciences, 4905 Statistics, 3802 Econometrics, T COPULAS, Business & Economics, Physical Sciences, 0502 economics and business, Asymptotic normality, Consistency, 0101 mathematics, Mathematics
Description: sponsorship: The authors thank an Associate Editor and two reviewers for their valuable comments, which led to an improvement of the manuscript. The first and second author gratefully acknowledge support from the Research Fund KU Leuven [C16/20/002 project] . The third author was supported by Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University [BOF14NI06] (Research Fund KU Leuven|C16/20/002, Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University|BOF14NI06)
Document Type: Article
Language: English
ISSN: 2452-3062
DOI: 10.1016/j.ecosta.2022.05.002
Access URL: https://lirias.kuleuven.be/handle/20.500.12942/710126
https://doi.org/10.1016/j.ecosta.2022.05.002
Rights: Elsevier TDM
Accession Number: edsair.doi.dedup.....d317dd7b71190dd4216e7407f61e114a
Database: OpenAIRE
Description
Abstract:sponsorship: The authors thank an Associate Editor and two reviewers for their valuable comments, which led to an improvement of the manuscript. The first and second author gratefully acknowledge support from the Research Fund KU Leuven [C16/20/002 project] . The third author was supported by Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University [BOF14NI06] (Research Fund KU Leuven|C16/20/002, Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University|BOF14NI06)
ISSN:24523062
DOI:10.1016/j.ecosta.2022.05.002