Fuzzy multiple regressions for Cross-Section and Panel data

Besma Belhadj

Socio-Economic Planning Sciences, 2024, vol. 91, issue C

Abstract: A classical multiple regression is a framework defined a priori verifying several limiting assumptions and easily misused. We propose a fuzzy alternative approach to classical multiple regressions for cross-sectional and panel data. As illustration, we estimate and analyze the effect of the annual GDP growth rate, unemployment rate, inflation rate and annual population growth rate on poverty in the Middle East and North Africa (MENA) region.

Keywords: Fuzzy endogenous regressor; Fuzzy parameters; Fuzzy mathematical modeling; Cross-sectional data; Panel data (search for similar items in EconPapers)
JEL-codes: C53 C60 I32 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123002732

DOI: 10.1016/j.seps.2023.101761

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