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Research Article | Open Access

Generalized estimation equations method for fixed effects panel interval-valued data models

Chi Liu1, Ruiqin Tian1( ), Dengke Xu2
School of Mathematics, Hangzhou Normal University, Hangzhou 311121, China
School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China
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Abstract

This paper studied panel interval-valued data models with individual fixed effects, in which the correlation within a group was considered and the group average method was used to eliminate the fixed effects. Then, we applied generalized estimation equations (GEEs) to analyze panel interval-valued data models and gave a computational algorithm to obtain the estimators. Some Monte Carlo simulations and real data analysis showed that, in contrast with the least-squares dummy-variable (LSDV) method, the proposed GEEs method has advantages in forecasting performance.

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Electronic Research Archive
Pages 3733-3755

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Cite this article:
Liu C, Tian R, Xu D. Generalized estimation equations method for fixed effects panel interval-valued data models. Electronic Research Archive, 2025, 33(6): 3733-3755. https://doi.org/10.3934/era.2025166

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Received: 24 March 2025
Revised: 13 May 2025
Accepted: 29 May 2025
Published: 16 June 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)