Fuzzy multiple regressions for Cross-Section and Panel data

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.

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This article proposes a fuzzy alternative approach to classical multiple regressions, aiming to analyze the impact of various factors on poverty in the MENA region. The study estimated and analyzed the effect of annual GDP growth rate, unemployment rate, inflation rate, and annual population growth rate on poverty.