An empirical examination of maximum entropy in copula-based simultaneous equations model

• Main Authors: Kanchana Choktaworn, Paravee Maneejuk, Woraphon Yamaka
• Format: Journal
• Published: 2018
• Subjects: Mathematics; Agricultural and Biological Sciences
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039694621&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/43700
• Institution: Chiang Mai University

© 2017 by the Mathematical Association of Thailand. All rights reserved. In our previous work, copulas were used to connect different marginal distributions in a system of linear equations. And in this study, we aim to further improve the way to join the marginal distributions. We propose entropy copula-based simultaneous equations model, in which the copulas are employed to improve the modeling of joint distribution. Under this model, we do not have to assume a specific distribution for the margins; instead, they are derived from the entropy method. This study will provide a conceptual idea of bivariate entropy copula-based simultaneous equations model and an explanation of how this method works. Then, an empirical experiment will be conducted to explore the performance of our proposed model.